Vetted SQLite Professionals

“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”

Yury Vasilevich

Screened ReferencesStrong rec.

Staff Unity Tech Lead specializing in F2P mobile live-service games

Gdańsk, Poland16y exp

“Senior Unity Developer / Tech Lead who has shipped Unity games across a wide range of platforms (mobile, stores, WebGL, Steam). Built two full Unity game frameworks solo—a slots engine used for 100+ games and a bingo engine used for 9+ games—owning architecture, core gameplay systems, UI, performance optimization, and SDK integrations.”

“Unity VR developer with hands-on experience shipping and optimizing standalone builds for Meta Quest (and PICO). Led gameplay + networking on a Quest 3 multiplayer social VR experience (real-time sync, avatars/gestures, proximity voice), and also built a mostly solo game that blends fast-paced restaurant simulation with a night-time horror/stealth loop featuring custom AI.”

“Unity/C# developer with hands-on Meta Quest shipping experience from Wren Kitchens, building a VR kitchen scale visualiser and solving tricky URP/HDRP cross-pipeline rendering issues by creating internal shader/asset management utilities. Also has solo Unity game experience including an Android/Google Play release and game jam prototyping, plus side-project work using Python/PyTorch for predictive modeling.”

“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”

“Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.”

“Built and deployed a production RAG-based clinical decision support assistant at MedLib, focused on fast, trustworthy answers from large medical documents. Demonstrates deep practical experience improving retrieval accuracy (semantic chunking + metadata-aware search), controlling hallucinations with grounded generation and thresholds, and adding clinician-requested citations using chunk metadata, with evaluation driven by healthcare professional review.”

“Founder of distribb.io, an 8-month-old AI SEO software company already at $10k MRR. Brings 15 years of startup ecosystem exposure and a pragmatic, market-driven approach to building businesses by targeting proven demand rather than chasing novelty.”

“Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.”

“Founding engineer at an early-stage agent marketplace who built the core job lifecycle, live run viewer, and LLM-based verification/settlement flow that gated escrow release. Also worked on a multi-agent diagnostic system using a blackboard architecture with specialized models, structured outputs, and human-in-the-loop review—showing unusual depth in both product engineering and applied AI systems.”

“Full-stack SaaS engineer with strong experience building multi-tenant analytics platforms in lean startup environments. He combines React/Node.js and Python/Django backend depth with hands-on DevOps improvements, including CI/CD and Docker adoption that cut deployment effort by nearly 50% while improving platform performance by around 30%.”

“LLM engineer/data analyst who built a production RAG QA assistant over the Jurafsky & Martin NLP textbook to reduce hallucinations and provide explainable, source-grounded answers. Experienced with LangChain/LangGraph orchestration, retrieval optimization (embeddings, vector DBs, caching), and rigorous evaluation/monitoring (Retrieval@K, A/B tests, telemetry/drift). Previously communicated analytics insights to non-technical stakeholders at GS Analytics using Power BI and simplified reporting.”

“Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.”