Vetted Technical Documentation Professionals

“Enterprise platform engineering leader who identified platform engineering as a major opportunity at Kyndryl and built an entire internal practice around it by codifying the offering and evangelizing it across leadership. Now exploring founding an agentic AI developer platform aimed at reducing variance and improving consistency in building/deploying cloud-native applications; has not raised capital yet.”

“Verizon engineer who productionized an LLM-based personalization capability for a customer-facing digital platform, owning the path from success metrics through scalable APIs, A/B validation, and post-launch monitoring (latency/accuracy/drift). Experienced in diagnosing and fixing real-time LLM/RAG workflow issues under peak load, and in enabling adoption via tailored technical demos/workshops and sales support materials.”

“Unity/VR developer and PhD researcher who served as lead developer on a clinical VR application (VheaRts) used by surgeons at Great Ormond Street Hospital, taking over a messy codebase and rebuilding its architecture, documentation, and extensibility. Also built research-focused Unity VR experiments (e.g., change blindness in a dynamic living room) with sophisticated logic to control participant attention while monitoring physiological cues.”

“LLM/RAG engineer with production deployments in highly regulated domains (Frost Bank and GE Healthcare). Built secure, explainable document-grounded Q&A systems using LoRA fine-tuning, strict RAG with confidence thresholds, and citation-based responses; also established evaluation/monitoring (golden QA sets, hallucination tracking, drift) and achieved ~40% latency reduction through retrieval/prompt tuning.”

“Open-source JavaScript contributor focused on data visualization, extending Chart.js/React with custom plugins for real-time streaming dashboards. Designed an end-to-end telemetry pipeline using Apache Kafka and Azure Cosmos DB, optimizing partitioning, batching, caching, and client throttling to keep latency low and support thousands of concurrent users. Demonstrates strong ownership in fast-changing environments, including building full-stack AI applications and ingestion/ETL pipelines at Robotics Technologies LLC.”

“JavaScript/TypeScript engineer with proven open-source impact: delivered a major reliability upgrade to a retry/error-handling library (standardized typed errors, added exponential backoff, expanded Jest tests, and implemented GitHub Actions CI) that was merged and released. Demonstrates strong performance engineering and debugging skills (profiling-driven optimization; diagnosed a race condition causing inconsistent retries) plus a documentation-first approach to developer experience.”

“LLM-focused customer-facing technical leader with experience productionizing LLM workflows in financial services (State Street), including guardrails, retrieval tuning, and reliability improvements. Also partners closely with sales and executives—at Payoneer helped drive enterprise-wide adoption for a $10M ARR global account through technical discovery, demos, and pilots.”

“Backend-focused engineer with production experience building Spring Boot services for automated workflow and data-processing platforms, using queues plus retry and idempotency patterns. Also uses Python to automate data processing; emphasizes testing and peer review for maintainability.”

Sahachel Flores

Screened

Mid-Level Backend Software Engineer specializing in enterprise systems and applied AI/ML

Mountain View, CA6y exp

“Support engineer with IBM DFSMS OAM experience who restored a production TS7770 environment during a TS7760→TS7700 migration by using logs, SLIP traps, and dump analysis to pinpoint an SMS configuration (SCDS) issue, then partnering with the customer to redo the migration successfully. Also built a personal agentic news selector system and emphasizes documentation improvements and customer education to prevent recurring incidents.”

Szymon Kościelniak

Screened

Senior Unity Developer specializing in mobile and VR/PC games

Warsaw, Poland7y exp

“Unity gameplay engineer from Moonactive who rewrote the gameplay engine for ZenMatch, maintaining two engines in parallel via a separation layer to improve robustness/scalability and make new content easier to ship. Also implemented multiplayer for a client prototype using the Onion networking framework and is familiar with Photon Fusion concepts.”

Hetvi Shah

Screened

Mid-Level Full-Stack Software Developer specializing in React/Angular and Node.js

Toronto, Ontario6y exp

“Frontend lead who owned architecture and quality for TELUS’s Next Generation Sales Platform, building a modular React+TypeScript experience that scaled across wireline/wireless products and channels. Experienced in hardening UIs against unreliable backend integrations (API abstraction, retries/fallbacks, caching, logging) and delivering real-time dashboards via WebSockets, with strong CI/CD testing and blue-green release practices for high-stakes launches like Black Friday.”

Ti Wu

Screened

Junior Full-Stack Developer specializing in web apps and reinforcement learning

Hsinchu, Taiwan1y exp

“Built an AI basketball shooting coach that analyzes player form against NBA players and recruited 30+ beta users via Reddit to drive iterative UI/workflow improvements. Also has internship experience building an administrative server and coordinating API/database compatibility with another client server, emphasizing communication and integration quality.”

Jaya Rathi

Screened

Senior Software Engineer specializing in distributed systems and cloud platforms

Ottawa, Canada15y exp

“Software professional with 13 years of experience across Canada and India, now seeking a first US role in California. Has practical experience applying LLMs and IDE agents like Cursor, ChatGPT, and Gemini to streamline engineering documentation workflows, especially automating Jira/Confluence process work to reduce manual effort and errors.”

“Candidate brings a pragmatic, production-focused approach to AI-assisted software development, using AI as a pair programmer and conceptually applying multi-agent workflows across coding, testing, and review. They stand out for putting strong guardrails around AI usage—manual review, testing, SonarQube, peer review, and keeping critical logic manual—to improve speed without compromising security or code quality.”

Jaya Rathi

Screened

Senior Software Engineer specializing in distributed systems and cloud platforms

Cupertino, CA15y exp

“Full-stack developer who built a unit billing subscription portal in React, Node.js, TypeScript, and PostgreSQL to track employee billable hours and generate paperless invoices, including BambooHR integration and async workflows with RabbitMQ. Also independently exploring agentic AI through a support desk assistant using RAG, ChromaDB, and LangChain, with a strong focus on grounding, type safety, and measurable retrieval quality.”

“Unity VR game programmer with professional experience shipping a VR experience targeting Meta Quest and SteamVR, including prior VR tech QA experience at Rockstar. Served as the only core tech programmer on a team, owning physics/player controller/gameflow while building designer-friendly workflows so non-coders could create content. Also built a largely solo FPS project (Project Alpha) and later evolved it into a multiplayer game with a data-driven weapon system.”

“Built and shipped a production multi-agent conversational AI platform (Monitor agent + RAG + 4 additional agents) with enterprise REST APIs, using ChromaDB-grounded WCAG knowledge to keep responses accurate while varying tone via personality modes and conversation memory. Has experience at LinkedIn delivering technical demos and pre-sales guidance to both engineering teams and C-level stakeholders, acting as a translator between sales and technical teams to drive adoption.”

“LLM/ML platform engineer with hands-on experience taking an LLM document summarization prototype into a production-grade service on AWS EKS, emphasizing low-latency inference, drift monitoring, and safe CI/CD rollouts (canary + rollback). Strong in real-time debugging of agentic/RAG systems (tracing, retrieval/index drift fixes) and in developer enablement through practical workshops (Docker/Kubernetes/FastAPI) plus pre-sales support via demos and benchmarks to close pilots.”

Dendy Saputro

Screened

Junior Software Quality Engineer specializing in test automation and mobile app testing

Jakarta, Indonesia1y exp

“QA tester with Android native app experience spanning manual, automation, functional, and performance testing, including maintaining Python-based automation scripts across frequent software and device updates. Interested in pivoting into console game testing and has baseline familiarity with platform certification concepts (Sony TRC/Microsoft XR/Nintendo LOT), plus uses AI tools to help analyze large volumes of issues and reduce missed defects.”

Kaushik Balakesavalu

Screened

Mid-level Full-Stack Java Developer specializing in enterprise SaaS and FinTech

Fairfax, VA5y exp

“Software engineer with fintech/retirement-fund domain experience who led an internal dashboard consolidating fund transactions, approvals, and reporting into a single workflow tool. Strong in full-stack delivery (React + REST APIs + DB optimization) and in scaling/cleaning messy operational data via modular ETL pipelines (Python/Node), iterating post-launch with performance improvements like caching, pagination, and enhanced filtering.”

Kavya Aitagoni

Screened

Junior Full-Stack Engineer specializing in web platforms and live events

San Francisco, CA2y exp

“Full-stack product engineer with experience shipping user-facing web products end-to-end, including an event analytics dashboard and checkout improvements at Eventbrite. Stands out for combining frontend polish, backend reliability, and production-minded practices like idempotent APIs, query optimization, CI/CD, logging, and monitoring to improve conversion and reduce engineering dependency.”

“Built an internal RAG assistant for financial documents using FastAPI, OpenAI APIs, and vector search, improving document search speed and reducing manual effort for the business team. Stands out for a pragmatic approach to AI engineering: uses AI heavily for productivity, but keeps human judgment central and has designed retrieval, validation, and summarization workflows end-to-end.”