Vetted TypeScript Professionals

“At ReferU.AI, designed and deployed an agentic RAG pipeline that automates multi-jurisdiction legal document drafting, emphasizing hallucination reduction through hybrid retrieval, validation agents, guardrails, and iterative regeneration. Experienced with orchestration frameworks (especially CrewAI) and rigorous testing/evaluation practices including human-in-the-loop review, adversarial testing, and production metrics/logging.”

“Full-stack software engineer with hands-on experience shipping AI-driven product experiences, including a conversational travel planner and a RAG-based PDF question-answering system. Has also built enterprise automation APIs at Accenture for network diagnostics, combining backend engineering, testing automation, and user-focused product simplification for non-technical operations teams.”

Alex Lopez

Screened

Executive AI product and platform leader specializing in FinTech

New York City, NY11y exp

“Founder and CTO of Relish who scaled the company through Series A and B, raising over $35M, while building an enterprise AI invoice-processing platform for major customers including Apple and PayPal. Combines deep technical fluency in LLM/OCR orchestration and ERP integrations with strong product and UX judgment, including a redesign that improved NPS by roughly 20 points. Also brings a university teaching background that informs a distinctly human-centered view of AI.”

Atharva Jagtap

Screened

Junior Full-Stack Software Engineer specializing in cloud and AI/ML applications

United States, Remote2y exp

“Full-stack engineer with hands-on experience across e-commerce personalization, enterprise RAG assistants, and cloud infrastructure automation. They’ve shipped AI features using Azure LLM APIs and vector search, improved recommendation engagement, and worked across frontend, backend, ML-informed analytics, and AWS infrastructure in early-stage environments.”

“Full-stack product engineer at AllCheer who has shipped production AI workflow systems in a compliance-sensitive healthcare operations context. They built React/FastAPI products with LangChain and OpenAI to automate release-of-information and note-extraction workflows, delivering measurable impact including ~60% faster processing, ~$20K annual savings, and ~92% extraction accuracy.”

Henry Li

Screened

Junior Software Engineer specializing in mobile, full-stack, and game development

California, USA2y exp

“Engineer with hands-on experience shipping production-critical AI-assisted workflows, including an internationalization system for a React Native/Expo mobile game that expanded from English-only to 15 languages. Stands out for pragmatic, safety-first use of AI: they design deterministic validation layers, constrain model scope, and prioritize architecture, QA, and maintainability over hype-driven agent complexity.”

“Full-stack engineer with startup SaaS experience building workflow automation and case management platforms for business operations teams. Strongest in Python, TypeScript/React, and PostgreSQL, with hands-on ownership from backend architecture and APIs to production deployment on AWS; notably helped reduce manual processing and improve customer turnaround times in a high-ambiguity scaling environment.”

Eric Kerney

Screened

Senior Software Engineer specializing in geospatial and AI platforms

Kalamazoo, MI16y exp

“Full-stack product engineer with a strong geospatial/mapping focus who has built marketplace features, AI-enabled mapping MVPs, and Python API tooling in startup and client-services environments. Notable for combining React/Next.js front-end work with Python, spatial databases, and practical architecture/debugging decisions for enterprise-facing products used by customers such as Walmart and UPS.”

“Former startup co-founder/CTO who built a student-opportunity platform from scratch and engineered a real-time, Google-like search experience despite database limitations. Also brings deep modernization experience, including migrating legacy enterprise systems to containerized microservices and delivering major search-performance gains on 20+ year-old databases using CDC and OpenSearch.”

“Full-stack and AI systems engineer who has shipped both enterprise fintech and real-time voice AI products. At NCR, they repaired a broken transaction-fee workflow end to end using React/TypeScript, Lambda, and DynamoDB; at Lillup, they turned a research voice prototype into production infrastructure, cutting latency from 350ms to under 200ms and raising user ratings from 2.8 to 4.1. They also built an LLM side project that uses Claude and GPT to cross-review each other through structured JSON consensus rounds.”

“Frontend engineer with experience modernizing a large healthcare platform from Adobe Flex to React/TypeScript using micro frontends while keeping legacy systems live during migration. Brings strong performance tuning skills for data-heavy UIs and real-time map applications, including profiling-driven React optimization, Next.js SSR, and WebSocket-based live tracking.”

“Full-stack engineer with strong DevOps/AWS experience who ships end-to-end React/TypeScript + Node/Python systems and operates them in production. Built an LLM-assisted recommendations workflow for a SaaS product with robust reliability controls (schema-validated JSON outputs, fallbacks, caching, monitoring) and measured impact via adoption, time saved, and override rates; also experienced delivering MVPs fast in early-stage startup ambiguity.”

“Backend engineer experienced in evolving high-scale legacy on-prem systems into cloud-native, event-driven microservices on AWS/Kubernetes (noted peak traffic ~1.5M QPS). Strong focus on reliability engineering and operational excellence—SLO-driven observability, GitOps/canary rollouts, chaos testing, and preventing cascading failures (e.g., retry-storm mitigation).”

“Built Meet.AI end-to-end and made concrete architecture/performance decisions (RPC with type-safe integration; SSR + query prefetching for instant data display). Also created a Python tool at Abbott to resynchronize Ansible inventories and eliminate manual intervention by scheduling it in a Jenkins pipeline; has hands-on Docker/microservices experience including serving a pretrained LLM.”

“Built and owned invoice automation and alerting products at Neuralix, automating multi-site electricity invoice ingestion from PDFs into validated JSON with strict schema enforcement and LLM-based validation (reported ~98% compliance). Delivered zero-manual processing at 200+ invoices/month and ~5x faster throughput, and designed a domain-driven alert lifecycle to reduce noisy notifications and improve operational response.”

“Frontend product builder who has shipped and maintained a two-mobile-app ecosystem (user + employee) backed by Node.js, emphasizing separation of concerns, shared libraries for reuse, and TypeScript type safety. Re-architected a Sunmor Research codebase using MVC, improving readability and collaboration and taking the product from unusable to working, with a strong regression-testing mindset and customer-feedback-driven iteration.”

“Built and deployed “ApartmentFinder AI,” a multi-agent system using Google ADK, Gemini, and Google Maps MCP to automate apartment shortlisting and commute-time analysis, cutting a 45–70 minute user workflow down to ~30 seconds. Also has strong delivery/process chops from serving as an SDLC Release Coordinator, managing 52+ releases and reducing SDLC issues by 84%.”

“Full-stack TypeScript/React/Next.js builder who created an end-to-end customer-facing product (AI Job Master) that generates personalized outreach from resumes and job descriptions. Demonstrates strong product + engineering ownership with rapid MVP iteration, instrumentation-driven prioritization, and pragmatic reliability patterns (microservices, queues, correlation IDs, retries) while tackling a key AI challenge: user trust and output consistency.”

“Frontend-focused engineer with internship experience at eXp Realty and Pulse InfoFrame, building survey platforms and a drag-and-drop survey management UI in React + TypeScript. Notably helped execute a post-deployment migration from DynamoDB to Amazon RDS to enable scalable SQL aggregation (tested with ~70k survey instances), and monitored rollout via CloudWatch/Cloudflare logs while driving QA and load testing.”

“Full-stack engineer with recent enterprise experience building Spring Boot/Spring Cloud microservices on AWS (Lambda, S3, DynamoDB) and a React/TypeScript frontend. Has hands-on experience solving microservice communication timeouts via API Gateway/load balancing and implementing centralized JWT-based security, plus performance work for large data workloads using indexing, caching, and async processing.”

“Built and owned a Python/FastAPI backend for a custom translation service used in a showroom application, integrating DynamoDB and connecting the service to a SPA/Next.js frontend. Has exposure to Kubernetes-based deployments and GitHub Actions CI/CD, and contributed to planning an on-prem to cloud/SaaS migration at Sherwin-Williams by gathering requirements across multiple plants/factories.”

“Built and deployed an LLM-to-SQL automation system in a closed/internal environment, using a retriever–reranker–validator architecture on Kubernetes with strong security controls (semantic + rule-based validation and RBAC), achieving 99% uptime and cutting manual query time ~40%. Also worked on genomic sequence classification and semantic search workflows, orchestrating data prep with Airflow, tracking/deploying with MLflow, and optimizing distributed multi-GPU training on a university Kubernetes cluster.”

“Cloud/distributed-systems engineer who has shipped real-time, offline-capable ledger/expense infrastructure and solved tricky cross-layer production bugs (carrier handoff retries causing duplicate writes) using packet captures and device logs. Also built modular Python ETL/catalog pipelines for e-commerce with config-toggled plugins for customer-specific pricing/SKU rules, and iterated product changes directly with on-site fulfillment operators using feature flags.”

“Full-stack engineer currently building an employee management system end-to-end with React, Node/Express, and PostgreSQL, including JWT auth and RBAC. Previously worked at TCS on large-scale State Bank of India web applications, applying Redis caching, server-side pagination/filtering, and async job offloading to improve performance and reliability.”