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Vetted Java Professionals
Pre-screened and vetted.
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
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, 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
Mid-level Generative AI Engineer specializing in LLM, RAG, and multimodal enterprise solutions
Mid-level AI/ML Engineer specializing in Generative AI and RAG assistants
Mid-level Data Analyst specializing in BI, ETL, and cloud analytics
Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability
Intern Full-Stack Software Engineer specializing in AI integrations and cloud-native web apps
Junior Software Engineer specializing in backend, microservices, and cloud
Senior Software Engineer & Engineering Lead specializing in Unreal/Unity VR training and multiplayer
Mid Software Engineer specializing in Java microservices and cloud applications
Dustin Keib
Executive Software Architect specializing in Cloud, Security, and SaaS
“Cloud consulting veteran building DragnCloud, an agentic cloud infrastructure builder aimed at teams outgrowing Heroku/Supabase who need complex setups (data pipelines, custom LLM hosting, multi-tier apps) without hiring consultants. Has SaaS background and has served as a Fractional CTO for funded companies; currently focused on landing the first 20 customers and expanding automation into higher-value workflows.”
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.”