Vetted Full-Stack Development Professionals

Abhishek Yadav

Screened ReferencesStrong rec.

Mid-level Full-Stack Engineer specializing in Python and FinTech

Tempe, AZ4y exp

“Full-stack engineer with experience shipping both enterprise financial systems at Citi and production AI copilots. Built a real-time transaction monitoring dashboard that cut manual reporting by ~60%, and also designed a grounded, human-in-the-loop LLM support assistant with RAG, structured outputs, and production evals for quality and compliance.”

“Backend engineer who evolved the X-Ray gaming analytics platform, leading a zero-downtime MongoDB→AWS DocumentDB migration with dual-write, checksum-based validation, and Kubernetes canary rollouts while maintaining real-time monitoring for millions of concurrent sessions. Strong in FastAPI/Python API scaling and performance tuning (cut latency from ~2s to <150ms and reduced DB load 90%) plus production-grade auth/RLS security patterns (JWT, Supabase Auth, PostgreSQL RLS).”

“Engineer with hands-on experience across backend, full-stack, cloud, and AI/ML systems, with particular depth in Python, FastAPI, AWS Bedrock, SageMaker, and RAG-based architectures. Stands out for treating AI and agents as accelerators within disciplined production engineering, emphasizing guardrails, observability, latency/cost monitoring, and scalable system design.”

“Candidate has developed a disciplined AI-first engineering workflow that combines design docs, prior PR analysis, testing plans, and multi-agent coordination to accelerate delivery without sacrificing quality. They described acting as a tech lead for AI agents, overseeing code structure, business logic, testing, and service contracts, and reported reducing manual coding effort by nearly 80%.”

“Full-stack builder with hands-on experience shipping both location-based consumer products and AI-driven data platforms. Has owned end-to-end systems across React/Next.js, FastAPI, PostgreSQL, Streamlit, and geospatial tooling, with a strong emphasis on modular architecture, LLM reliability, and turning messy real-world data into usable product experiences.”

“Full-stack engineer with a strong mix of real-time product engineering and applied AI experience. Built and deployed a production stock trading simulator on AWS and an LLM-based customer support agent with RAG/tooling, and also shipped a zero-to-one in-store detection feature at Meituan that improved CTR by 7% and conversion by 11%.”

“Full-stack engineer with startup-style experience building assessment and learning platforms using React, Node.js, Python, MongoDB, and PostgreSQL. Stands out for owning backend auto-grading and analytics features end to end, including concurrency-safe submission processing and database performance optimization for growing datasets.”

Jenya Rusinova

Screened

Mid-level Frontend Engineer specializing in cloud enterprise applications

East Palo Alto, CA3y exp

“Frontend-focused product engineer with experience owning production launches in observability/monitoring, including extending an existing web-only service to support mobile users without disrupting current customers. Stands out for balancing speed and safety through feature flags, regional beta rollouts, bug bashes, and close collaboration with PM, design, and backend teams in ambiguous environments.”

“Safety-critical firmware validation engineer with Tesla autonomous vehicle experience who built Python-based HIL/SIL automation and dashboards, cutting regression time by 30% while maintaining an auditable risk-tradeoff process with safety and engineering teams. Also deployed an inventory management system across 8+ R&D teams in 3 countries at FUJIFILM, troubleshooting a major cross-site sync issue to a timezone root cause with strong documentation and interim mitigations.”

Andrew Liang

Screened

Intern Software Engineer specializing in full-stack and AI/ML systems

2y exp

“Software engineer with experience at Amazon and Agora building end-to-end systems: a knowledge-base AI chatbot (React/TypeScript UI + retrieval/response backend + Docker deployment) and an internal approval governance platform using AWS Step Functions and DynamoDB. Emphasizes fast iteration without sacrificing trust via feature-flag rollouts, citation-required answers, abstention on low-confidence retrieval, regression query sets, and strong observability (request IDs, structured logs, latency/error monitoring).”

Shloka Reddy

Screened

Mid-level Software Engineer specializing in FinTech full-stack development

San Francisco Bay Area, CA3y exp

“Frontend-leaning full-stack engineer with experience spanning early-stage startup work at Rundoo and a higher-trust fintech environment at Wealthfront. They’ve owned complex permission-based household/account experiences end-to-end in Next.js/React, with strong instincts around data flow, UI correctness, performance, and production pragmatism.”