Vetted Technical Documentation Professionals

Prasad Sadineni

Screened

Mid-level AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems

Nashville, TN6y exp

“Building and deploying production in-house, domain-specific LLM chatbots for enterprises that cannot use third-party GPT tools due to internal policies. Focused on reducing latency and improving domain awareness using fine-tuning, continual learning, and advanced RAG/agent retrieval strategies, with experience orchestrating multi-agent workflows via LangChain/LlamaIndex and vector DBs (FAISS, Weaviate, Chroma).”

Parth Shroff

Screened

Entry-level Full-Stack Software Developer specializing in AI and cloud applications

Remote, USA1y exp

“Full-stack engineer who has independently owned and shipped educational web products from concept through launch, including an AI-powered thermodynamics tutoring app and a physics learning platform tied to research publication. Strong in React plus AWS serverless architecture, with a clear pattern of working directly with non-technical stakeholders, iterating from user feedback, and maintaining production systems end-to-end.”

“Frontend-focused engineer who leads end-to-end delivery of high-performance React + TypeScript products, including legal-tech client platforms and a large-scale case management dashboard handling thousands of records. Strong in SEO for SPAs, strict code quality automation, and performance work (Lighthouse 95+, 40% FCP reduction), plus disciplined rollout practices using LaunchDarkly, canary releases, and Sentry monitoring.”

“Frontend developer (~2 years experience) who has built user-tier-based UI logic (BannerRotator) and shipped a KYC workflow in a fast-paced, regulated crypto/e-commerce context. Emphasizes modular React + TypeScript patterns, scenario-driven QA documentation in Notion, and codebase modernization (TypeScript rewrites and legacy hook updates).”

“Not a console game tester and unfamiliar with Sony/Microsoft/Nintendo certification requirements, but has experience in website feature development (redeem points flow) and prioritizing backend vs frontend work under pressure. Prefers structured Agile/Scrum teams and uses ChatGPT to brainstorm and gather examples for workflows/testing.”

“Full-stack engineer from an early-stage AI SaaS startup who owned and shipped a production AI-powered PDF document chat and sharing feature end-to-end (React/TS + Node + Postgres on AWS). Demonstrates strong product thinking through layered success metrics and tight feedback loops, plus hands-on reliability/observability work (CloudWatch, structured logging, alarms) and robust ingestion pipeline patterns (idempotency, retries, reconciliation).”

Iskhak Ishmakhametov

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems

Bellevue, WA7y exp

“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”

Haneesh Kapa

Screened

Junior AI Full-Stack Engineer specializing in LLM automations and RAG systems

Nashua, NH2y exp

“Built and shipped a production LLM-powered customer support assistant using a Python/FastAPI backend with RAG (embeddings + vector search) over internal docs and product/operational data. Instrumented the system with logging/metrics and ran continuous eval loops; post-launch improvements focused on retrieval quality (chunking/ranking) and performance/cost tradeoffs (query classification, caching, validation guardrails).”

Dhwani Patel

Screened

Mid-level Full-Stack Python Developer specializing in AI/ML and backend APIs

BC, Canada15y exp

“Python/Django backend engineer with open-source experience upgrading Archivematica to Django 4.2 LTS, including resolving a tricky breaking change in datetime parsing by implementing a preservation-safe legacy timestamp conversion layer. Also built a cost-efficient, reproducible Small Language Model (Microsoft Phi-3) fine-tuning pipeline that turns CSV product data into a domain-specific searchable Q&A chatbot, with emphasis on memory optimization and overfitting prevention.”

Joaquin De Losada

Screened

Mid-Level Software Engineer specializing in game development and full-stack systems

3y exp

“Backend-focused developer who built a Python 4v4 matchmaking system using win/loss history plus an Elo rating model, validating and tuning it against a dataset of ~50 real games. Previously worked at Advanced Logistics Management building time-sensitive agriculture-site modules in a small dev team, coordinating work via Jira/Git and drafting documentation for a potential migration from XAMPP/CodeIgniter/Bluehost to Azure.”

“Built end-to-end product features for a Web3 monetization platform and also shipped a privacy-first mobile accessibility app, SenScribe, using on-device sound classification and LLM summarization with zero cloud dependency. Particularly interesting for roles spanning full-stack product engineering, mobile AI, and applied ML where careful debugging, stakeholder alignment, and real-world usability matter.”

“Game designer specializing in multiplayer mode and systems design across casual party and vehicular hero-shooter projects (Oink Splash Party, Rivals Hover League), with hands-on UE5 Blueprint prototyping for a Souls-like combat loop (Medieval Silence). Known for playtest-driven iteration that fixes degenerate strategies and improves pacing/teamplay (e.g., core-meltdown, kill-confirmed/resurrection events, radar/minimap disruption), plus designing non-predatory progression systems blending battle pass, contracts, and level-up rewards.”