Vetted Error Handling Professionals

Nisarg Shah

Screened

Junior Machine Learning Engineer specializing in geospatial analytics and computer vision

Tempe, Arizona1y exp

“Built and evolved a geospatial ETL + API platform that processes pixel-wise satellite imagery in PostgreSQL/PostGIS into low-latency farm-level time-series metrics for an interactive dashboard, using precomputed hotspot analysis to reduce latency by 75–80%. Experienced in FastAPI-style API contract design (OpenAPI), caching, server-side filtering/compression, and production-minded security patterns (RBAC, session-derived authorization, password hashing) with disciplined rollback/versioning practices.”

Tejas Kolpek

Screened

Mid-level Solutions Architect/Engineer specializing in AI and data integrations

Mountain View, CA5y exp

“Solutions Engineer specializing in taking LLM copilots from demo to production, with a strong emphasis on enterprise security (RBAC/OAuth), grounded RAG behavior (cite-or-refuse), and operational readiness (eval loops, logging, runbooks). Experienced in real-time diagnosis of agentic/LLM workflow failures and in partnering with Sales/CS to run integration-first POCs that clear security and reliability concerns and accelerate rollout.”

Niv Srinivasan

Screened

Senior Infrastructure Engineer specializing in FinTech and crypto payments

Melbourne, Australia7y exp

“Backend/full-stack engineer who built an autonomous trading system end-to-end, emphasizing correctness and long-term reliability via reconciliation, idempotent order handling, and production observability (Sentry, structured logs, alerts). Also built and maintained external-facing APIs (Firebase auth, Swagger docs) and resilient Selenium-based e-commerce scraping/automation with anti-bot and UI-change hardening.”

Shashwat Negi

Screened

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

San Jose, CA3y exp

“Data Scientist (2–3 years) at ZS Associates who has built and productionized agentic LLM systems, including a LangGraph-based multi-LLM prompt-optimization pipeline for entity extraction deployed as a Spring Boot microservice via Jenkins. Also built an Insightmate.ai chatbot and improved its RAG accuracy by diagnosing vector retrieval issues and implementing HyDE query expansion, while partnering with sales and pharma stakeholders to drive adoption (e.g., Zimmer Biomet platform migration into a multi-year partnership).”

“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”

“Unity/C# gameplay engineer with strong multiplayer systems experience, including shipping a DarkRift-based server-authoritative architecture with prediction/reconciliation and measurable gains: frame time improved from ~30ms to 18ms and packet sizes dropped by roughly 40%. Also brings practical thinking around AI-assisted content tooling, using async service layers, JSON pipelines, and validation rules to support designers without disrupting production workflows.”

“Built and significantly owned enterprise project-finance dashboards at Publicis Sapient, with a strong focus on performance, data freshness, and trust for demanding finance users. Stands out for diagnosing problems across both the browser and data layers—optimizing SQL, reducing DOM load, and redesigning interactions so users stopped exporting to spreadsheets and worked directly in the live dashboard.”

“Full-stack engineer with hands-on experience spanning React/TypeScript frontend architecture, .NET/Entity Framework backend services, and database optimization. Has owned end-to-end features like payment processing flows and also helped ship a 0→1 AI developer productivity capability, showing a mix of product sense, startup speed, and practical performance engineering.”

“Full-stack engineer who has owned an operations/reporting dashboard end-to-end, spanning React/TypeScript frontend architecture, ASP.NET Core APIs, and SQL data access. Stands out for combining strong UI performance optimization with pragmatic backend decisions, post-launch monitoring, and 0→1 startup platform building that improved API speed by 35% while supporting 2,000+ transactions per hour.”

“Data and backend-focused engineer with hands-on experience spanning GenAI applications, production telemetry systems, and large-scale ETL pipelines. They combine modern AI stack work (React, FastAPI, LangChain, ChromaDB) with measurable production impact, including 90% lower DB insertion latency, 50% higher ETL throughput, and 99.9% data quality in distributed environments.”