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Vetted Software Engineers
Pre-screened and vetted.
Entry-Level Full-Stack Software Engineer specializing in AI agents and cloud-native apps
Junior Software Engineer specializing in AI and Cloud Infrastructure
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and AI integration
Mid-level Software Engineer specializing in backend systems, APIs, and cloud microservices
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Software Engineer specializing in robotics, computer vision, and scientific instrumentation
Mid-level Software Developer specializing in DevOps, CI/CD, and AWS Kubernetes
Senior QA Automation Engineer (SDET) specializing in Python, Playwright, and API testing
Senior Full-Stack Software Engineer specializing in AI-native enterprise products
Mid-level Full-Stack Developer specializing in modern web apps and cloud DevOps
Junior Software Engineer specializing in backend, microservices, and cloud
Intern Full-Stack Software Engineer specializing in AI integrations and cloud-native web apps
Senior Software Engineer & Engineering Lead specializing in Unreal/Unity VR training and multiplayer
Mid Software Engineer specializing in Java microservices and cloud applications
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and APIs
Senior Full-Stack Software Engineer specializing in Python, React, and LLM-powered applications
Himanshu Kiran Garud
Mid-Level Software Engineer specializing in full-stack web and data engineering
“Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).”
Dhruv Kamalesh Kumar
Mid-level Generative AI Engineer specializing in LLM agents and RAG applications
“GenAI builder and technical lead with ~2 years of hands-on production experience, including GENIE (a GenAI sandbox for ~44,000 Massachusetts public-sector employees) and A-IEP, a multilingual platform helping parents understand complex IEP documents (cut processing from ~15 minutes to ~2 and used by 1,000+ parents). Strong in RAG/agentic architectures, AWS serverless + Step Functions orchestration, and rigorous evaluation/guardrails for reliable real-world deployments.”