Vetted Error Handling Professionals

Dhairya Gajjar

Screened

Mid-Level Software Engineer specializing in Healthcare Data Platforms

Remote2y exp

“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”

“Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.”

Reza Farhang

Screened

Mid-level Full-Stack Developer specializing in .NET, React, and Web3

5y exp

“Frontend-leaning full-stack engineer with ownership across CMS, backend data shaping, SEO infrastructure, and real-time crypto exchange experiences. Stands out for designing dynamic page-generation architecture for the Hisense USA site that cut build times by 30% and drove nearly 50% improvement in festival page performance, while also bringing DDD-based TypeScript/React architecture experience from complex ERP projects.”

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.”

“Frontend engineer with strong experience building enterprise-grade banking interfaces, including a cross-platform credit card application with secure document uploads, real-time status tracking, and complex multi-step e-forms. Stands out for combining React/TypeScript architecture skills with deep browser-level debugging and measurable UX improvements in regulated financial environments.”

“Early-stage product engineer who built an AI persona chat system end to end at Super Intro, spanning Next.js frontend, GraphQL/real-time backend, retrieval memory, and LLM-based matching. They combine strong TypeScript rigor with practical AI systems design, and cite measurable impact including ~40% engagement growth, ~30% recall improvement, and lower LLM costs in production.”