Vetted Technical Documentation Professionals

Wilson Huang

Screened

Junior Backend & Full-Stack Engineer specializing in Python/FastAPI and cloud services

Binghamton, NY4y exp

“Robotics software contributor from Binghamton University’s drone research lab who built a Dockerized, multithreaded Python control stack integrating Crazyflie firmware for low-latency, real-time coordination of multiple drones. Hands-on with telemetry/command pipelines, profiling and control-loop optimization, and wireless comms using CrazyRadio PA.”

“Full-stack engineer with hands-on ownership of secure authentication, RBAC, and GraphQL/PostgreSQL performance in production systems. At ODU, they improved p95 latency from ~780ms to ~430ms while supporting 1000+ concurrent users, and handled schema migrations for roles and permissions with staged rollout and post-deploy monitoring.”

“Frontend engineer who led end-to-end delivery of a React/Next.js platform and real-time analytics dashboard at HacknoTech, emphasizing scalable UI architecture and performance. Uses a pragmatic state strategy (React Query for server state, Redux Toolkit for UI state), built shared component libraries with Tailwind, and improved load times by ~40% through code splitting/lazy loading and Lighthouse-driven tuning.”

Lalith Sagar Kambala

Screened

Junior Full-Stack Software Engineer specializing in AI-powered SaaS

United States, USA1y exp

“Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.”

Vinith Nagelly

Screened

Mid-level Full-Stack Developer specializing in Python/Django and React

Little Rock, AR4y exp

“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”

Ibrahim Cheena

Screened

Junior Software Engineer specializing in distributed systems and AI platforms

San Jose, CA3y exp

“Built ContextIQ, an end-to-end full-stack RAG document assistant using Next.js, TypeScript, OpenAI embeddings, Supabase/pgvector, and streaming responses to create a real-time research experience. Also built DevWatch, a GitHub analytics and QA dashboard with Java Spring Boot and PostgreSQL, and demonstrated strong production ownership by solving cloud networking, cold start, CORS, and data deduplication issues after launch.”