Vetted TypeScript Professionals

“Frontend engineer from Amazon Advertising who owned a sophisticated React/TypeScript ad creative builder used by advertisers and ad ops teams. Stands out for combining deep browser-level debugging with product-minded UX improvements that reduced support escalations and made complex multi-placement ad configuration faster and more reliable for power users.”

“Front-end/product engineer with strong financial-domain experience, including browser-based interfaces for retail planning, sales forecasting, and high-throughput trading data. Stands out for combining UI engineering with machine learning, time-series prediction, browser performance optimization, and functional programming across tools like React, TypeScript, Elm, OCaml, and Scala.”

“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”

David Gross

Screened

Entry AI Software Engineer specializing in LLM workflows and ML pipelines

Redmond, WA2y exp

“Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.”

Abhishek Masurkar

Screened

Senior Frontend Engineer specializing in scalable web apps and UX

Mumbai, India15y exp

“Frontend/UI lead who drove an end-to-end Angular redesign at Ketto.org, creating a scalable design system and internal component library with 90%+ unit test coverage and ongoing performance work (FCP/TTI, SSR/CDN/caching). More recently at Google, built a complex React+TypeScript UX research platform syncing video playback with interactive transcripts (notes/tags/highlights) and shipped features via PRD-driven, phased rollouts with dogfooding and in-app feedback.”

Aditya Sawant

Screened

Mid-level Software Development Engineer specializing in robotics and cloud-based device management

North Reading, Massachusetts3y exp

“Amazon Robotics engineer who deployed and scaled the Lumos camera-based package scanning work cell across EU sort centers (100+ work cells in 5+ sites), enabling remote launches via detailed runbooks and troubleshooting. Strong in AWS IoT/edge systems, with hands-on incident recovery (restored 34 down work cells) and secure multi-compute certificate provisioning using IoT Jobs, ACM/CA, and custom roles; delivered ~75% per-cell cost reduction vs Cognex-based approach.”

Pankaj Goyal

Screened

Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms

SF Bay Area, CA22y exp

“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”

“Engineer with deep hands-on experience building Square's billing and payments platform in a startup-like environment inside a larger company. They drove a high-stakes PostgreSQL migration, built merchant-facing full-stack features across React/TypeScript, Go, and Python, and designed for PCI-compliant, high-throughput financial workflows with strong observability and production rigor.”

“Early-stage full-stack engineer who built Dokai's core web spreadsheet product and key AI features with just a two-engineer team. They combine strong product ownership with practical LLM integration experience, including reducing onboarding from a week to five minutes and solving difficult reliability and memory issues in production.”

“CMU engineer with hands-on experience building full-stack AI products across internships and academic projects, including a Microsoft real-time multimodal assistant and a Cursor-like coding agent. Stands out for combining low-latency systems engineering with strong product instincts, shipping AI tools that improved latency by 35%, cut grading time from five days to under 10 minutes, and reduced user resubmissions by 45%.”

veera krishna chaitanya Arepalli

Screened

Mid-level Full-Stack Engineer specializing in AdTech and FinTech

Menlo Park, CA5y exp

“Meta product engineer with strong ad-tech experience who owned monetization and optimization features across Instagram Boost on mobile and web. They combine product analysis, experimentation, and full-stack execution, citing $9.8M/year from an upsell feature and $43K/day from feeding IG-to-WhatsApp lead signals into ad targeting. Also built an internal LLM-powered analytics agent to automate adoption-rate analysis for product teams.”