Vetted TypeScript Professionals

Annie Suzan Edwin Arokiaraj Caroline

Screened

Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines

Tempe, AZ1y exp

“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”

Samee Rauf

Screened

Junior AI/Full-Stack Software Engineer specializing in ad automation and LLM systems

Dallas, Texas3y exp

“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”

Ian Li

Screened

Senior Test Automation Engineer specializing in mobile UI/API automation and CI/CD

7y exp

“QA automation engineer (Tencent experience) who extended Android Monkey testing to dramatically increase activity coverage (~300%) and cut runtime from 8 hours to ~1 hour per app. Strong in Cypress/JS test architecture and CI/CD gating (GitLab + Kubernetes parallel runs), and has a track record of reproducing and documenting high-impact reliability issues (e.g., silent failures in a cloud-native mobile automation platform under network loss).”

Ofek Shaltiel

Screened

Mid-Level Full-Stack Software Engineer specializing in AI-enabled web platforms

Dallas, TX4y exp

“Backend/AI engineer in construction tech (HyperWater AI) who delivered major production performance wins (analytics API from ~1 hour to 0.5s) and shipped LLM features for parsing subcontractor manifests into CSI divisions with human-in-the-loop review. Also built a freelance agentic document-verification system using OCR + RAG over pgvector with robust retry/escalation logic and user feedback loops.”

Benjamin Agyekum

Screened

Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications

California, USA8y exp

“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”

Himanshu Shivkumar Garg

Screened

Senior Full-Stack Java Developer specializing in Healthcare IT and FinTech

Florida, USA4y exp

“Built and owned an end-to-end HIPAA-compliant Next.js/TypeScript portal at Casedok using a microservices, event-driven architecture with Temporal-orchestrated SAGA workflows. Emphasizes production-grade quality (strict typing, Jest integration tests, CI + mandatory PR reviews) and operational reliability/observability (circuit breakers, idempotency, Prometheus alerts), plus experience designing external-facing APIs with Swagger, JWT, and backward-compatible versioning.”

Sanskar Pandey

Screened

Junior Full-Stack Java Developer specializing in FinTech microservices

OH, USA3y exp

“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”

Luiz Junior

Screened

Executive XR Engineer specializing in Unity-based VR/AR/MR platforms

Brazil, Remote11y exp

“Unity/C# VR engineer specializing in medical simulation: built a VR surgical trainer with real dual robotic-arm hardware integration and a full surgical workflow UI used to retrain doctors (with published results). In 2024, re-architected multiplayer for a Becton Dickinson medical VR product by creating a FishNet layer that emulated Photon PUN using Roslyn + IL-level codegen to avoid large-scale rewrites, and ships cross-platform VR (Quest) + mobile experiences.”

“Built and deployed real-world systems end-to-end across security and healthcare contexts: led a 3-person team delivering a university vehicle tracking system with 30% cost savings and 1-year post-launch monitoring. Also implemented a healthcare RAG chatbot with adaptive query routing that cut LLM costs by 40% while maintaining answer accuracy, and has experience debugging non-deterministic LLM behavior in DevOps pipeline automation.”

Patrick McNealy

Screened

Senior Game Developer specializing in multi-platform gameplay and interactive systems

Boulder, CO11y exp

“Gameplay/engine programmer with hands-on experience spanning Unity simulation systems, LLM-driven character presentation, C# multiplayer networking, and platform adaptation for both mobile and VR. Particularly interesting for teams needing someone who can architect modular systems, optimize for scale/performance, and bridge AI-driven interaction with polished runtime animation behavior.”

“Built DocMind, an end-to-end PDF chat assistant using React/TypeScript, FastAPI, and Postgres/pgvector, showing full-stack ownership plus practical performance tuning and AWS debugging skills. At Social Tech Labs, improved onboarding, shipped lean under ambiguity, and created a reusable low-latency feature serving layer that reduced duplicated infrastructure work across models.”

“FinTech engineer who has owned customer-facing onboarding deployments end-to-end, combining React/Node.js application development with workflow automation and post-launch operational metrics. They also implemented an LLM-driven onboarding assistant using contextual prompts and backend orchestration, and showed practical production experience debugging non-deterministic AI behavior caused by stale pipeline context.”

Mohammad Savari

Screened

Senior Gameplay Programmer specializing in Unity systems and game development

Leland, NC8y exp

“Gameplay engineer with hands-on ownership of core systems across both Unity/C# and UE5, including a full item/inventory/vendor pipeline and a server-authoritative co-op multiplayer architecture. Stands out for combining data-driven design, tooling, and disciplined validation workflows—including LLM-assisted content generation—to improve iteration speed and stability.”

“Built and owned a production-grade RAG/LLM support automation system on AWS using GPT-4, Pinecone, FastAPI, and Redis, taking it from initial experimentation through deployment, monitoring, and iterative improvement. Their work reduced support workload and ticket volume by about 40%, improved CSAT and self-service resolution, and they also created shared Python/LLM infrastructure that accelerated other teams' delivery from weeks to days.”

“Software developer who actively integrates AI coding tools like ClaudeCode, Codex, and ChatGPT into day-to-day development for brainstorming, planning, and reducing boilerplate work. They show thoughtful awareness of agent limitations such as hallucinations and use markdown-based project context files to improve output quality.”

“Software engineer with a pragmatic, production-oriented approach to AI-driven development, using AI to accelerate coding while keeping human oversight on correctness, architecture, and final decisions. Has hands-on experience with agent-style AI workflows and has led the design and coordination of AI-agent systems with a strong emphasis on reliability, performance, and end-to-end execution.”

“Built and shipped an end-to-end AI-powered portfolio chatbot, owning the React frontend, FastAPI backend, and FAISS-based retrieval layer. Demonstrates hands-on full-stack product thinking with attention to UI performance, TypeScript maintainability, and post-launch iteration on response relevance and speed.”

“Early major technical hire who helped build fintech startup Ugami from MVP to near Series A, while supporting bridge round and Series A fundraising with technical materials for leadership. Also grew from intern to lead engineer at a venture-backed product shop, giving him firsthand exposure to investor expectations, startup incubation, and practical AI opportunities with tight scope and strong unit economics.”

Meghkumar Patel

Screened

Intern-level Software Engineer specializing in backend, cloud, and AI systems

Vadodara, India1y exp

“MS Software Engineering candidate at SJSU with hands-on full-stack and applied AI experience, including building DataTrust, a secure enterprise RAG assistant with ABAC-style access control, audit logging, and grounded-answer evaluation. Also built CareerPilot, an AI interview-prep product that turns LLM and speech-to-text outputs into structured, user-friendly feedback for students and job seekers.”

“Fullstack product engineer with strong AI application experience, including a provider-agnostic LLM routing layer spanning Bedrock, OpenAI, and Hugging Face. They pair hands-on technical depth with product instincts, having shipped customer-facing chat and workflow features that reduced support tickets by 38% and cut approval processing time in half.”

“Frontend engineer with hands-on experience building a production crime analysis mapping dashboard for public safety operations using React, TypeScript, and Leaflet. Stands out for combining geospatial visualization, performance tuning at scale, and UX design for dense operational data in a sensitive, compliance-oriented environment.”

“Software engineer with a strong builder mindset who has worked across ML, backend, and frontend systems. Notably built an AI-driven predictive autoscaler for Kubernetes from scratch using Prometheus, TensorFlow, Flask, and Spring Boot, and also delivered customer-facing automation features in financial document processing by working directly with auditors to translate domain rules into product logic.”

Ashutosh Talwalkar

Screened

Mid-level Software Engineer specializing in frontend and full-stack SaaS platforms

Santa Clara, CA7y exp

“Frontend-focused product engineer who owned the Quickwork automation platform’s architecture from 0 to 1, including a major migration from a monolithic frontend to microfrontends with Module Federation. Particularly strong in complex operational UX: real-time execution monitoring, analytics dashboards, API contract design, and performance-sensitive React/TypeScript systems for B2B SaaS workflows.”

“Founding frontend developer for StockEdge, a cross-platform stock market analytics SaaS, where they owned UI, branding, frontend architecture, and deployment across web, Android, and iOS. Most compellingly, they helped take the product from 0 to 1 million unique users and 10,000 paid subscribers while building data-heavy, near-real-time financial experiences in React and TypeScript.”