Vetted TypeScript Professionals

Pre-screened and vetted.

PP

Parth Parikh

Screened

Senior Software Engineer specializing in backend systems and AI platforms

San Francisco, CA13y exp
RedditSan Jose State University

Engineer with experience at Reddit working on high-scale backend and infrastructure problems, including API redesign for products serving 150M+ daily active users. They also built a production AI agent for automated bug triage with 97% accuracy and substantial time savings, and have hands-on full-stack/AI side-project experience using React, TypeScript, Supabase, and LLMs.

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JP

John Powell

Screened

Senior Software Engineer specializing in AI/ML platforms and healthcare systems

Austin, TX11y exp
ArmUniversity of Texas at Austin

Unity/C# gameplay engineer with strong systems architecture depth who has reworked core gameplay ability frameworks, shipped across mobile and standalone VR, and solved multiplayer synchronization issues with server-authoritative netcode. Also brings an unusual crossover into AI tooling, having owned an AI-powered debugging assistant at Arm and integrated LLM workflows into CI/development pipelines.

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SO

Senior Frontend Engineer specializing in scalable, accessible web applications

Atlanta, GA8y exp
ClickUpGeorgia Tech

Engineer with startup experience at a Series B company, where they worked through high ambiguity and personally led an observers feature for a video conferencing platform. They also bring B2B SaaS experience building feature-flagged, permission-sensitive products for customers ranging from startups to large enterprises, plus migration experience moving an acquired app from .NET into a React/Next.js ecosystem.

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VR

Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms

Boulder, CO2y exp
LenovoUniversity of Colorado Boulder

Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.

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SR

Executive Technology Leader in AI/ML, cloud platforms, and biotech/healthcare data systems

29y exp
Santa Ana BioCarnegie Mellon University

Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.

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Zahaan Khan - Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms in San Jose, USA

Zahaan Khan

Screened

Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms

San Jose, USA6y exp
TikTokUniversity of Waterloo

TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.

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Patrick Jose - Senior AI Engineer specializing in LLM applications and full-stack systems in San Francisco, CA

Patrick Jose

Screened

Senior AI Engineer specializing in LLM applications and full-stack systems

San Francisco, CA8y exp
RapidCanvasUSC

Built and owned a production LLM/RAG customer support assistant end-to-end, from prototype through deployment, monitoring, and iteration. Their work automated roughly 40% of common support queries and cut response times by about 30%, while also creating reusable Python inference services that improved consistency and team velocity.

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UB

Principal Data Scientist specializing in machine learning and generative AI

New York, NY12y exp
AtlassianRutgers University

Atlassian ML/AI engineer who has shipped end-to-end production systems combining classical ML, streaming infrastructure, and LLM-based personalization to improve onboarding and free-to-paid conversion. Particularly strong in turning research-style RAG and reranking ideas into low-latency, reliable product systems with robust evaluation, safety guardrails, and reusable platform services for other teams.

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JW

Jonathan Wang

Screened

Senior Software Engineer specializing in platform, authentication, and developer infrastructure

9y exp
IndeedUC Davis

Software engineer who has deeply integrated AI into day-to-day development, using Claude Code, ChatGPT, and coding agents to speed up boilerplate generation, system design, and tradeoff analysis. Stands out for a pragmatic multi-model workflow focused on faster delivery and quicker architectural feedback.

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Timothy Lee - Senior Full-Stack Engineer specializing in AI platforms and scalable web systems in Live Oak, FL

Timothy Lee

Screened

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

Live Oak, FL12y exp
Parker AIUniversity of Florida

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.

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Hardy Lou - Senior Software Engineer specializing in front-end architecture and enterprise web apps in Santa Clara, CA

Hardy Lou

Screened

Senior Software Engineer specializing in front-end architecture and enterprise web apps

Santa Clara, CA10y exp
TikTokUC San Diego

Frontend-leaning product engineer with strong full-stack collaboration experience across TikTok and Rivian, owning complex internal platforms from concept to production. Stands out for combining product thinking with technical depth: led a high-impact reporting platform initiative that materially increased adoption and CSAT, and also incubated an AI lead-research agent from scratch without a PM.

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ML

Executive Engineering Leader specializing in cloud-native platforms and global team scaling

28y exp
Rambis TechnologyColumbia University

Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.

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NM

Staff Software Engineer specializing in headless commerce and developer platforms

New York, NY10y exp
ShopifyUniversity of Florida

End-to-end product engineer who built and shipped Shopify Magic, an LLM-powered product-description generator on Amazon Bedrock with RAG over a tenant-isolated vector database, achieving 50% faster content creation, sub-2s latency, and 70%+ merchant adoption. Also led a Flexport migration from a monolithic Rails app to microservices using feature flags and parallel runs, delivering zero downtime and a 60% improvement in development speed.

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Shahmeer Malik - Junior Software Development Engineer specializing in cloud security and CI/CD in Herndon, VA

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

Herndon, VA2y exp
AmazonUniversity of Michigan

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.

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Bennett Smith - Senior Full-Stack Engineer specializing in cloud-native microservices and React in Los Angeles, CA

Bennett Smith

Screened

Senior Full-Stack Engineer specializing in cloud-native microservices and React

Los Angeles, CA14y exp
Universal StudiosNYU

Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).

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GL

Grey Luo

Screened

Junior Software Engineer specializing in LLM agents and AWS backend systems

Seattle, WA1y exp
AmazonUC San Diego

Built and owned the end-to-end architecture for a Quick Flows “research card” backend at AWS, using an event-driven AWS stack (SNS/SQS, DynamoDB, S3) to support asynchronous research output processing and status tracking. Emphasized maintainability via unit tests, smoke tests, and CI/CD with staged environments (devtest and gamma).

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CH

Senior Unity/Full-Stack Engineer specializing in distributed systems, VR, and AI/LLM integration

Springdale, AR13y exp
TectonUSC

Unity/C# gameplay engineer who has shipped a modular, data-driven combat ability system with strong measurable outcomes (≈80% fewer GC allocations, 15–20% better frame times, 10–12% higher early retention). Also integrated an LLM-driven NPC dialogue/quest hint system with a C#/.NET backend, caching/guardrails, and telemetry-driven iteration, and shipped Photon PUN real-time 4-player co-op plus a shared codebase across Meta Quest VR and iOS/Android.

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MB

Senior Software Engineer specializing in distributed systems for FinTech and Healthcare

Remote, USA14y exp
ColumnAuburn University

Fintech engineer with high-ownership startup experience at Column, where they led a Go rewrite of a core banking API that cut transaction errors by 98% and increased throughput by 40%. Brings a rare mix of backend systems depth in compliance-sensitive money movement infrastructure and frontend platform experience building React design systems, with earlier experience at Meta on recommendation APIs and News Feed.

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SW

Mid-Level Backend Engineer specializing in AWS serverless and data processing

7y exp
AmazonUC Irvine

Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).

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PH

Peifeng Hu

Screened

Junior Software Development Engineer specializing in AWS distributed systems and data orchestration

Seattle, WA3y exp
AmazonUSC

Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.

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Sandeep Rohilla - Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines in San Francisco, CA

Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines

San Francisco, CA19y exp
MyResumeStar.comUSC

LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.

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SR

Mid-level Software Engineer specializing in backend, distributed systems, and ML-integrated platforms

Bellevue, WA5y exp
UberUniversity of Florida

Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.

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MS

Senior Software Engineer specializing in full-stack systems, cloud, and compliance tech

Buffalo, NY17y exp
BrownGreer PLCFlorida A&M University

Growth-stage full-stack engineer with recent hands-on Go work in a compliance-focused B2B SaaS environment and deep prior experience in React/TypeScript, Node, PostgreSQL, and Elasticsearch at Tend. Stands out for owning cross-stack performance, search, and reliability improvements in fast-moving teams, including reducing latency, improving search efficiency, and designing integrations for regulated operational workflows.

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