.png){kind=logo}
Vetted TypeScript Professionals
Pre-screened and vetted.
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure
Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Senior Software Engineer specializing in cloud microservices and data pipelines
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Engineering Leader specializing in cloud-native SaaS and distributed systems
Senior Front-End/Full-Stack Engineer specializing in cloud-native SaaS and enterprise web apps
Executive Engineering Leader (CTO/VP) specializing in platform scaling and video streaming
Surya Teja
Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments
“Full-stack engineer who has owned an operational reporting/dashboard product end-to-end—building a React UI, designing/implementing FastAPI services, and deploying/operating on AWS. Demonstrates strong performance engineering (Postgres query/index tuning using EXPLAIN ANALYZE) with concrete impact (reports reduced from tens of seconds to a few seconds) and a reliability mindset across observability, migrations, and resilient third-party/ETL integrations.”
Arnav Singh
Junior Software Engineer specializing in full-stack web, cloud data, and applied ML
“Backend engineer who evolved the X-Ray gaming analytics platform, leading a zero-downtime MongoDB→AWS DocumentDB migration with dual-write, checksum-based validation, and Kubernetes canary rollouts while maintaining real-time monitoring for millions of concurrent sessions. Strong in FastAPI/Python API scaling and performance tuning (cut latency from ~2s to <150ms and reduced DB load 90%) plus production-grade auth/RLS security patterns (JWT, Supabase Auth, PostgreSQL RLS).”
Paul Liu
Senior Software Engineer specializing in cloud-native backend and web/mobile apps
“Backend engineer with Tesla experience building Python-based, serverless microservices for a supply chain portal, including a MongoDB-backed tracking/logging system and a reconciler Lambda to manage retries and failures. Has hands-on Kubernetes (EKS) and GitOps (Argo CD) experience, plus real-time Kafka pipelines for fleet/IoT telemetry and proxy-based migrations from monolith systems to AWS databases.”
Sanskar Gupta
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Deekshit Myakala
Mid-level Software Engineer specializing in cloud automation and data/ETL platforms
“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”