.png){kind=logo}
Gitesh Sagvekar
Mid-level Full-Stack Developer specializing in cloud-native healthcare applications
Connect with Gitesh
Gitesh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Full-stack engineer with recent experience at Amgen building an internal healthcare data validation/transformation and workflow automation service: Python/FastAPI backend with REST APIs plus a React UI, designed around a canonical contract-first model to handle inconsistent upstream data. Operates production systems on AWS (EC2/ELB/S3/CloudFront) with strong focus on observability (structured logs, correlation IDs) and safe CI/CD-driven migrations; also has experience shipping quickly in ambiguous environments at TCS.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- End-to-end ownership of production full-stack features (frontend, backend, deployment/ops)
- Designs stable API contracts via canonical data models and transformation layers
- Layered validation approach with fail-fast schema checks
- Production observability and troubleshooting using structured logs and correlation IDs
- Performance-focused backend/data design (indexes, pagination, avoiding N+1, caching)
- Safe, CI/CD-driven database migration strategy with backward-compatible rollouts
- AWS production operations (EC2/ELB/S3/CloudFront) with reliability and least-privilege IAM
- High-ambiguity execution: quickly gathers user input and ships minimal viable solutions
- Owned end-to-end delivery of production healthcare data validation microservice (design through monitoring)
- Backend API design with auth (token + RBAC), versioning, and standardized error handling
- Built layered validation pipelines (schema + business rules + reference data lookups) with auditability
- AWS production operations: EC2 + ALB, IAM-secured S3 logging/audit trails, multi-environment VPC setup
- Reliability practices: unit/integration tests, structured logging with correlation IDs, health checks, monitoring of error spikes
- Performance/scalability optimization: in-memory caching, stateless services for horizontal scaling, query optimization under load
- Designed PostgreSQL schema for workflow/validation tracking with indexing strategy and iterative tuning via slow-query review
- Delivered React/TypeScript operational dashboard with strong UX handling (loading/error/empty states, filtering/sorting, debounced search)
Like what you see? We'll introduce you to Gitesh directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Danny Anop
Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms
“Frontend-leaning full-stack engineer who has built a multi-tenant AI-powered widget and admin dashboard platform used across 40+ merchant websites. Strong in TypeScript/Next.js/GraphQL systems design, reusable platform primitives, and cross-layer debugging, with a clear track record of shipping scalable product experiences under ambiguity.”
Interested in Gitesh?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Gitesh
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent