Vetted Error Handling Professionals

Yishi Wang

Screened

Junior Machine Learning & Data Science professional specializing in LLMs and analytics

Chicago, IL3y exp

“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”

Jiayi Zhang

Screened

Junior Full-Stack Engineer specializing in AI automation for FinTech and logistics

San Francisco, CA3y exp

“Full-stack product engineer focused on operational automation with AI in invoice, billing, and shipment workflows. Has shipped production systems using OpenAI APIs and AI agents that materially reduced manual work and cut bill transcription costs by 99%, while also improving UX through human-in-the-loop interfaces and performance tuning.”

“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”

“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”

Pranav Hariharane

Screened

Mid-Level Backend Engineer specializing in REST APIs and AWS

SF Bay Area, CA3y exp

“Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.”

Danny Niedzwiedzki

Screened

Mid-level Frontend Software Engineer specializing in accessible React and Next.js applications

Woodbridge, NJ4y exp

“Frontend engineer with 8+ years of React experience who owned a sophisticated enterprise chatbot embedded in third-party client sites at massive scale. Stands out for combining deep browser/iframe architecture knowledge, accessibility leadership, performance optimization, and security-driven Next.js migration work in a multi-tenant product used by large enterprises.”

Vatsal Gabani

Screened ReferencesStrong rec.

Mid Software Engineer specializing in backend systems and AI-enabled platforms

California, USA4y exp

“Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.”

Yiteng Xu

Screened

Director of Lab Automation specializing in high-throughput assays and NGS workflows

South San Francisco, CA9y exp

“Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.”

“IAM/platform engineer with experience at DocuSign and Siemens who ships production-grade systems end-to-end: built a secure AWS serverless internal employee-profile API (OAuth2/Cognito/WAF) that cut data retrieval from weeks to near-instant and sustained ~2,800 RPS at ~75 ms. Also delivered production AI workflows, including a GPT-4o + Playwright crypto-scam detection agent and an NLP ticket-routing system improved to ~86.7% accuracy with strong monitoring and incident mitigation practices.”

Timothy Lee

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Live Oak, FL12y exp

“Built and shipped production agentic/LLM systems that could safely perform real customer and subscription operations, not just answer questions. Demonstrates unusually strong depth in agent orchestration, tool safety, evals, tracing, and backend workflow design across Node.js/TypeScript, Go, Redis, Postgres, Kafka, and GPT-4.”

Shahmeer Malik

Screened

Junior Software Development Engineer specializing in cloud security and CI/CD

Herndon, VA2y exp

“Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.”

Durgaprasad G

Screened

Mid-level AI/ML Engineer specializing in LLM infrastructure, RAG, and agentic systems

New York City, NY3y exp

“Stripe engineer who owned and unified multiple team RAG systems into a shared production platform used by 200+ internal operators, deployed on EKS with Kafka ingestion and hybrid retrieval. Drove measurable business outcomes including <400ms latency, ~35% inference cost reduction, ~25% accuracy lift via fine-tuning, and real-time auto-approval of 80%+ merchant compliance applications through strong observability and reliability patterns.”

“Engineer with experience at Flexport and Microsoft, focused on full-stack and backend platform work in complex workflow and permissions-heavy systems. They’ve shipped customer-facing Next.js/GraphQL features, improved PostgreSQL-backed authorization performance, and driven an event-driven SQS architecture change that improved throughput by ~20% and sped up new workflow development by ~30%.”

Brian Paul

Screened

Junior Frontend Software Engineer specializing in FinTech and crypto products

San Francisco, CA2y exp

“Frontend engineer with Coinbase experience building high-trust crypto product flows such as staking and asset wrapping, plus data-heavy verified pool visualizations. Stands out for scalable React/TypeScript architecture, clean data-transformation layers, and strong attention to maintainability, performance, and design-system consistency.”