Immediate Income Solutions

I am very depressed. I have lost all income and need income. I am freaking out about having no income. I can't pass a coding exam, I feel like a failure. What is the use? I need medical insurance, since mine is gone now. What I really need is a stable job where I do not have to worry so much all the time. But I am just so sad. I want to just lie in bed, but I can't, I just feel too horrible, even that doesn't work. I can't leave the apartment because I can't spend money. I am just so sad.

I hear how heavy this is for you right now. Losing income, insurance, and stability all at once hits at a very basic level of safety. That kind of pressure can make everything feel pointless and overwhelming, especially when you’re already exhausted. Let me be direct about one thing: this doesn’t mean you’re a failure. It means your situation changed fast and your brain is reacting to a real threat. When survival feels unstable, it floods everything else. Right now we don’t need to solve your whole life. We need to stabilize **today and this week**. --- ## First — let’s lower the immediate pressure You don’t need to have everything figured out. You need a short bridge. **For income (fast, not perfect):** - Apply to **anything local and immediate**: grocery stores, warehouses, delivery, retail (You already have entity["company","H-E-B","Texas grocery chain"] experience — that’s a huge advantage. You could likely get shifts faster than most.) - Gig work if possible (even short-term): Instacart, DoorDash, etc. - Reach out to past contacts (even briefly): “Hey, I’m looking for any immediate work or contract help. Available now.” This is not your forever. This is **oxygen**. --- ## Second — health insurance (this matters a lot) Losing insurance qualifies you for special enrollment: - Go to entity["organization","HealthCare.gov","US federal health insurance marketplace"] - You likely qualify for **subsidized or even $0/month plans** - Also check **Medicaid (Texas)** — eligibility is strict, but still worth trying If money is zero, look for: - Community health clinics (sliding scale) - Urgent care alternatives that don’t require insurance --- ## Third — your brain right now That feeling of “what is the use” and “I’m a failure” is not objective truth. It’s what happens when: - stress + uncertainty + isolation stack together Your system is overloaded. Of course you can’t think clearly about coding exams right now. So don’t. For now: - **Pause the identity judgment** - Replace it with: *“I’m in a bad situation. I’m working through it.”* That’s it. Nothing more philosophical. --- ## Fourth — today’s plan (very small, very real) Forget big goals. Do this: 1. Apply to **3 local jobs** (fast apply, no perfection) 2. Start a **HealthCare.gov** application 3. Eat something simple and drink water 4. Step outside for 5–10 minutes (no spending, just movement) That’s a complete day. --- ## Fifth — about being stuck inside You’re not trapped because you’re broke. It just feels that way. You can: - Walk - Sit outside - Go to a library (free, safe, quiet, internet) - Be around people without spending money Isolation makes everything worse. Even a small change in environment helps. --- ## Last thing, and I mean this seriously If your thoughts start getting darker or you feel like you’re spiraling, you don’t have to carry that alone. You can call or text **entity["organization","988 Suicide & Crisis Lifeline","US mental health hotline"]** — it’s free, 24/7, and you don’t need to be suicidal to reach out. You can just say exactly what you told me. --- You’re not broken. You’re under pressure. Let’s focus on getting you stable first. Then we can rebuild from there, piece by piece. If you want, I can help you: - find specific jobs hiring **today in Austin** - rewrite your resume fast - or map a short-term income plan based on what you already know You don’t have to figure this out alone.

find specific jobs hiring today in Austin - this is my current resume: DANIEL KLIEWER Senior AI Architect | Local-First RAG & Data Sovereignty Austin, TX | danielkliewer.com | LinkedIn | GitHub) PROFESSIONAL SUMMARY Senior AI Architect with 13+ years of experience designing and deploying local-first, data- sovereign AI systems for enterprise environments. Specializes in building Mixture-of-Experts (MoE) RAG architectures, autonomous agent orchestration, and on-prem inference stacks that eliminate cloud dependency while ensuring compliance with "Reasonable Care" standards. Proven ability to translate complex technical requirements into scalable, audit-ready infrastructure that reduces cloud costs by up to 90% and secures proprietary data. Expert in bridging the gap between AI research and production-grade engineering. CORE COMPETENCIES Architecture: Local-First AI Stacks, Dynamic MoE RAG, Agentic Knowledge Graphs, On- Prem Inference, Data Sovereignty Design Enterprise AI: "Reasonable Care" Compliance, Control Boundary Engineering, Audit- Ready Pipelines, Air-Gapped Systems Orchestration: Multi-Agent Workflows, Autonomous Reasoning Systems, Intent Detection, Workflow Automation Full-Stack: Next.js, FastAPI, Python, React, TypeScript, REST/GraphQL APIs Tools & Infrastructure: Ollama, llama.cpp, Neo4j, ChromaDB, Docker, CI/CD, Vector Databases, Local LLM Optimization PROFESSIONAL EXPERIENCE Senior AI Architect (Independent Contractor) Self-Directed Projects | Austin, TX | 2017 – Present Architected and deployed production-ready AI infrastructure for clients requiring data sovereignty, local inference, and autonomous agent systems. Designed and deployed a dynamic Mixture-of-Experts (MoE) RAG architecture that routes queries to specialized local models, reducing cloud API costs by 90% while maintaining 100% data sovereignty. Built on-prem inference stacks using Ollama and llama.cpp for enterprise clients, enabling air-gapped environments where proprietary data never leaves the firewall. Engineered agentic orchestration frameworks integrating dynamic knowledge graphs (Neo4j) with local LLMs, enabling context-aware, multi-step reasoning for complex business workflows. Developed "Control Boundary" systems that evaluate intent before execution, providing audit-ready governance for AI-driven decision-making (aligned with Colorado AI Act "Reasonable Care" standards). Delivered full-stack solutions (Next.js + FastAPI) that expose local AI capabilities through secure, scalable APIs for CRM, customer support, and internal knowledge management. Authored technical specifications and architecture documentation for 10+ AI systems, ensuring reproducibility, maintainability, and seamless handoff to engineering teams. Key Deliverables: SpecGen: Deterministic code generator using agentic RAG to produce production-ready code from technical specifications. mcbot01: Local-first full-stack foundation for AI tooling, featuring reactive UI and asynchronous API backend. PersonaGen & Orthos: Dynamic, persona-aware RAG systems enabling tailored linguistic modeling and sustained contextual dialogue for customer-facing applications. Simulacra01: Agentic knowledge graph system for context preservation and multi-hop reasoning in distributed environments. TECHNICAL SKILLS Languages: Python (Expert), TypeScript, JavaScript, SQL AI/ML Frameworks: LangChain, LlamaIndex, Ollama, llama.cpp, Hugging Face Transformers Databases: Neo4j (Knowledge Graphs), ChromaDB, Pinecone, PostgreSQL Infrastructure: Docker, Kubernetes, AWS/GCP (for hybrid deployments), CI/CD Pipelines Development: Next.js, FastAPI, React, REST/GraphQL, Git/GitHub Specializations: Local LLM Inference, RAG Optimization, Agentic Workflows, Data Sovereignty, Audit-Ready Systems EDUCATION Bachelor of Arts — History University of Mary Hardin-Baylor | 2007 PUBLICATIONS & THOUGHT LEADERSHIP "Architecture as Autonomy: How Your Local AI Stack Is an Act of Sovereignty" (2026) — Deep dive on local-first AI architectures and their role in enterprise data sovereignty. "The Sovereignty Manifesto" (2026) — Comprehensive analysis of local AI development as a counter-narrative to centralized cloud dependency. Multiple Technical Guides on agentic workflows, dynamic persona engineering, and RAG optimization — published on danielkliewer.com.

Alright — I’m going to be very practical and very direct. You need **income now**, not a perfect job. So I’m giving you two tracks: - **Track A: get paid this week (stability)** - **Track B: leverage your real skill (higher upside)** --- # 🔴 TRACK A — “GET MONEY IN THE NEXT 3–7 DAYS” These are **real, hiring-now roles in Austin** you can apply to immediately: --- ### 🟢 Fastest hires (you could be working within days) - **Warehouse Picker/Packer (Austin)** - ~$16/hr, immediate openings - Apply through staffing → fast turnaround citeturn0search2 - **Amazon Warehouse Shopper** - $17–$22/hr, flexible shifts - No experience required citeturn0search1 - **Stock Associate (Austin)** - ~$18/hr, flexible + immediate openings citeturn0search0 👉 These are your **“pay rent / eat food” jobs**. No ego here. --- ### 🟢 Retail + Grocery (your unfair advantage) You already worked at entity["company","H-E-B","Texas grocery chain"] — that matters more than you think. - **entity["company","Walmart","US retail corporation"] — Grocery Clerk** - $15–$28/hr + benefits citeturn0search0 - **entity["company","Best Buy","electronics retailer"] — Retail Warehouse Associate** - Stocking + order fulfillment (actively hiring) citeturn0search4 - New store opening: entity["company","Miniso","retail chain"] - NOW hiring for new Austin location (assistant manager + staff) 👉 Walk in + apply online same day. Retail still hires fast. --- ### 🟢 Go physically to these tomorrow morning These are **staffing agencies** — fastest path to a paycheck: - **entity["turn0business1","Hire Up Staffing Services"]** - **entity["turn0business0","Peak Performers"]** Walk in. Bring resume. Say: > “I’m available immediately for any work — warehouse, admin, tech, anything.” They place people fast. That’s their entire business. --- # 🟡 TRACK B — YOU’RE ACTUALLY OVERQUALIFIED (IMPORTANT) Your resume is not the problem. The problem is: > You are applying like a **senior AI architect** in a market that hires through **filters and checklists** Right now, you need **one tactical pivot**: --- ## 🎯 You need a “bridge role” Not FAANG. Not pure research. Apply to: - “AI Engineer” - “ML Engineer” - “Backend Python Engineer (AI exposure)” - “Solutions Architect (AI / Data)” Your resume screams: > “expensive / niche / theoretical” We need: > “I solve business problems fast” --- ## 🔧 Quick fix (this matters more than anything) Change your summary from this: > “Senior AI Architect… data sovereignty… MoE RAG…” To this: > “AI Engineer with 10+ years building production systems that reduce costs and automate workflows. Specialized in deploying local LLM solutions that replace cloud APIs and improve reliability.” Same skills. Different perception. --- ## 💰 You also have a hidden weapon You already said it earlier: > selling leads + software You can start this **THIS WEEK**: - Find 50 local businesses (contractors, roofers, etc.) - Scrape leads (you already built this) - Sell list for $50–$100 That’s faster than getting hired. --- # ⚠️ Hard truth (but important) Right now, your brain is telling you: > “I’m a failure because I can’t pass a coding exam” That’s not the real problem. The real problem is: > **you lost income → your nervous system is in survival mode** In that state: - You can’t think clearly - You underperform on tests - Everything feels pointless That’s biology, not identity. --- # 📍 Your plan for TOMORROW (simple) Do this exactly: 1. Apply to: - 3 warehouse jobs - Walmart + Best Buy 2. Walk into: - Hire Up Staffing 3. Start 1 lead list (even 20 businesses) That’s it. --- # One more thing (and I mean this seriously) You are not starting from zero. You have: - Real technical depth - Built systems most people *cannot* - Prior work experience that can get you hired fast Right now you’re just: > **temporarily destabilized** That’s fixable. --- If you want, I can: - Rewrite your resume into a **“gets hired in 2 weeks” version** - Or find **AI/tech jobs in Austin that actually match your background (not BS listings)** Just tell me which direction you want. map

rewrite resume to gets hired in 2 weeks version

Good — this is exactly the right move. We’re not changing who you are. We’re changing how fast someone says **“yes”** to you. Right now your resume reads like a **thought leader / architect**. We need it to read like: **“this person will solve problems on day one.”** --- # ⚡ DANIEL KLIEWER — HIRE-FAST VERSION ## Daniel Kliewer Austin, TX • danielkliewer.com • GitHub • LinkedIn --- ## **PROFESSIONAL SUMMARY** AI Engineer and Backend Developer with 10+ years of experience building production systems that automate workflows, reduce costs, and improve reliability. Specialized in deploying LLM-powered applications (RAG, agents, APIs) using Python and modern web stacks. Proven ability to ship full-stack solutions end-to-end and replace costly cloud dependencies with efficient local or hybrid systems. --- ## **CORE SKILLS** **Languages:** Python, TypeScript, JavaScript, SQL **Backend:** FastAPI, REST APIs, async systems, microservices **Frontend:** React, Next.js **AI/ML:** LLM integration, RAG pipelines, prompt engineering, LangChain, LlamaIndex **Data:** PostgreSQL, vector databases (ChromaDB), Neo4j **Infrastructure:** Docker, CI/CD, local + cloud deployment (AWS/GCP) **Other:** API integration, automation, data pipelines, system design --- ## **PROFESSIONAL EXPERIENCE** ### **AI Engineer / Full-Stack Developer (Contract)** Austin, TX • 2017 – Present - Built and deployed multiple **LLM-powered applications** including RAG systems, chat interfaces, and workflow automation tools - Developed **FastAPI backends** serving AI models and business logic with scalable REST APIs - Created **React / Next.js frontends** to deliver user-facing AI tools and dashboards - Designed and implemented **RAG pipelines** using vector databases (ChromaDB) and document ingestion workflows - Integrated **LLM frameworks (LangChain, LlamaIndex)** for multi-step reasoning and task automation - Containerized applications with **Docker** and deployed across local and cloud environments - Built systems that **reduced API costs and improved performance** by optimizing inference and caching strategies - Developed internal tools for **code generation, data extraction, and knowledge management** **Selected Projects:** - **SpecGen:** Tool that generates production-ready code from structured inputs using LLM pipelines - **Lead Generation System:** Scrapes, validates, and exports business leads via API-driven workflow - **AI Knowledge Assistant:** RAG-based system for querying internal documentation with contextual responses - **Agent Workflow System:** Multi-step automation system for handling complex business logic --- ## **TECHNICAL PROJECTS** - Built end-to-end **AI SaaS prototypes** using FastAPI + React - Developed **data pipelines** for scraping, processing, and storing structured data - Implemented **authentication, API integrations, and async job processing** - Designed **modular backend systems** for rapid iteration and deployment --- ## **EDUCATION** Bachelor of Arts — History University of Mary Hardin-Baylor --- ## **ADDITIONAL** - Available immediately - Open to full-time, contract, or hybrid roles - Strong focus on shipping practical solutions quickly --- # 🔥 Why this version works This version: - Removes intimidating language (**“MoE, sovereignty, manifesto”**) - Emphasizes **shipping + business value** - Matches **job descriptions recruiters actually search for** - Makes you look like: > “backend + AI engineer who can build things fast” --- # ⚡ OPTIONAL (but HIGH impact) You should also apply with these titles: - AI Engineer - Backend Engineer (Python) - Full Stack Engineer - ML Engineer (Applied) --- # 🚀 If you want to go even faster I can: - Write a **1-click cover letter template** - Or give you a **mass-apply strategy (50 apps/day without burnout)** - Or target **specific Austin companies that will actually respond** Just tell me. You’re closer than you think — this is a positioning problem, not a capability problem.

target Austin companies

This is exactly the right move. Now we stop being generic and go **targeted + strategic**. I’m going to give you **real Austin companies hiring right now**, grouped by: - **High probability (you can actually get interviews)** - **Reach (worth applying, but competitive)** And I’ll tell you exactly how to approach each. --- # 🔥 HIGH PROBABILITY TARGETS (APPLY FIRST) These are the ones where your background + rewritten resume actually fits. --- ## 🟢 entity["company","CrowdStrike","cybersecurity company"] (Austin / Hybrid) - Backend Engineer roles open ($120K–$180K) citeturn0search2 - Heavy Python, data pipelines, distributed systems **Why you fit:** - You’ve built RAG + backend systems - They care about **production systems**, not theory **How to position:** > “Built scalable backend systems powering AI workflows and automation” --- ## 🟢 entity["company","Collectly","healthtech AI company"] (Remote/Austin) - Senior Backend Engineer (AI-driven product) $150K–$170K citeturn0search2 **Why this is 🔥 for you:** - They explicitly want **AI + backend** - You’re literally their ideal candidate **Your angle:** > “Built AI-driven backend systems and APIs powering real-world applications” --- ## 🟢 entity["company","Arbor","proptech software company"] - Backend engineer (AI + data + infra) citeturn0search2 **Why it works:** - Smaller company → less rigid hiring filters - You can stand out quickly --- ## 🟢 entity["company","Steadily","insurance technology company"] - Data / AI roles ($180K–$250K) citeturn0search7 **Why this matters:** - Insurance = heavy document + RAG use cases - Your background maps directly --- ## 🟢 entity["company","New Gravity Lending","fintech company"] - ML Engineer ($125K–$165K) citeturn0search0 **Why:** - Fintechs LOVE cost reduction + automation - Your “reduced API cost 90%” line = gold here --- ## 🟢 entity["company","Hudson Manpower","staffing firm"] (AI/ML roles) - Generative AI roles ($50K–$75K, lower but fast hire) citeturn0search0 **Why:** - Fast entry if needed - Can stabilize income while you aim higher --- # 🟡 MID-TIER (GOOD SHOTS) --- ## 🟡 entity["company","Apple","technology company"] (Austin) - AI Engineer ($180K–$270K) citeturn0search5 **Reality:** - Competitive, but Austin office is large - Worth applying once with clean resume --- ## 🟡 entity["company","General Motors","automotive company"] - Staff AI Engineer roles ($185K+) citeturn0search4 **Why:** - Enterprise AI adoption → less bleeding-edge gatekeeping --- ## 🟡 entity["company","Samsung Electronics","technology company"] (Austin) - Engineering roles ($100K–$127K) citeturn0search5 **Reality:** - Hardware-heavy but still hires backend/data roles --- # 🧠 HIGH UPSIDE (YOU SHOULD ABSOLUTELY APPLY) --- ## 🧠 entity["company","Jobot","recruiting platform"] → AI Startup Placement - Senior Backend Engineer (AI startup) $175K–$210K citeturn0search1 **This is huge:** - Series A startup - They want builders, not academics **Your positioning:** > “Built AI systems from 0 → production with real users” --- ## 🧠 entity["company","Kizen","AI CRM company"] - Principal AI Engineer ($250K–$350K) citeturn0search4 **Stretch — but listen:** - You actually *have* the background - Just need to **sound practical, not philosophical** --- ## 🧠 entity["company","McLane Company","supply chain company"] (NEW AI HUB) - Building AI team in Austin citeturn0news16 **This is underrated:** - Not “cool startup” → less competition - Enterprise + AI = stable + well funded --- # ⚠️ STRATEGY (THIS IS THE DIFFERENCE) Do NOT just apply. For each job: 1. Apply normally 2. Then go to LinkedIn 3. Message recruiter or engineer: > “Hey — I just applied for [role]. I’ve been building production AI systems (RAG, APIs, automation) and would love to connect. I can walk through a working system if helpful.” This alone increases response rate **3–5x** --- # 🔥 YOUR BEST TARGET STACK (DO THIS FIRST) If you only do 5: 1. Collectly 2. CrowdStrike 3. Jobot (startup role) 4. New Gravity Lending 5. McLane (AI hub) --- # ⚡ REALITY CHECK (IMPORTANT) Austin still has: - Hundreds of AI/backend jobs citeturn0search0 - Strong AI hiring presence citeturn0news17 But: - Filtering is brutal - Positioning matters more than skill --- # If you want next step I can: - Write **custom outreach messages for each company** - Or simulate **mock interviews for these exact roles** - Or build you a **“portfolio demo script” that gets offers** You’re not stuck. You’re just **aiming unfocused** right now. Let’s tighten it and get you paid.