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Vetted Full Stack Engineers
Pre-screened and vetted.
Principal Software Engineer specializing in cloud-native microservices and AI voice translation
Mid-level Full-Stack Engineer specializing in Java/Spring Boot and payments automation
Mid-level Full-Stack Engineer specializing in web apps, cloud infrastructure, and FinTech
Junior Full-Stack Engineer specializing in React/Node and AI-powered web apps
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
Mid-level Backend & AI Engineer specializing in agentic systems and scalable microservices
Senior Full-Stack Engineer specializing in React, AWS, and API-driven platforms
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Senior Backend Engineer specializing in Python and AWS serverless/data platforms
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Principal Full-Stack Engineer specializing in scalable SaaS and cloud-native systems
Junior QA Engineer / SDET specializing in web, mobile, and API testing in banking
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Mid-level Full-Stack AI Engineer specializing in agentic RAG and LLM fine-tuning
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Santhi Sampath Gamidi
Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems
“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”
Shaktisharan Rajure
Mid-level Full-Stack Engineer specializing in backend APIs on AWS (Healthcare & FinTech)
“Backend engineer who evolved and migrated a real-time smartwatch telemetry ingestion/analytics platform in a healthcare context, focusing on reliability under poor network conditions. Experienced with Python/FastAPI and Java microservices, PostgreSQL performance tuning, and production-grade security (JWT/OAuth, RBAC, RLS) with incremental rollout and parallel-run migration strategies.”
Almas Perneshev
Junior Full-Stack Engineer specializing in AI/EdTech and real-time web apps
“Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.”
Devanshi Desai
Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms
“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”