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Vetted Software Engineers in the DMV
Pre-screened and vetted in the DMV.
Senior Full-Stack Software Engineer specializing in AI/ML for FinTech & E-commerce
Senior Full-Stack Software Engineer specializing in cloud, payments, and telehealth
Senior Full-Stack Software Engineer specializing in Java/Spring and modern web apps
Sahil Sinha
Mid-Level Software Engineer specializing in full-stack development, cloud, and data infrastructure
“Software engineer at Fannie Mae (~3 years) working on high-volume loan data pipelines using AWS (SQS/S3), Java listeners, Postgres, and Python/SQL-based data quality validation. Also built a chess data collection system (leveraging experience as an International Master) with robust retry/monitoring, schema-change handling, and idempotent backfills to prevent bad data from reaching downstream systems.”
Mid-level Data/Software Engineer specializing in healthcare and FinTech analytics
Senior Full-Stack Software Engineer specializing in AWS cloud-native microservices and healthcare platforms
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.”
Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and SaaS
Mid-level Software Engineer specializing in full-stack distributed systems
Senior Full-Stack Software Engineer specializing in banking platforms on AWS
Ruturaj Ghatage
Junior Software Engineer specializing in full-stack, cloud infrastructure, and applied AI
“Master’s student at UC San Diego who built an LLM-powered healthcare chatbot for patient history-taking and sepsis-related output, using a Node.js backend integrated with FastAPI for RAG/LLM interactions and a Flutter client. Also has healthcare AI startup experience deploying on AWS (ECS/Terraform/Docker) and implementing Kubernetes autoscaling to improve efficiency and reduce costs, with strong iterative evaluation in collaboration with a physician.”
Senior Software Engineer specializing in Cloud, DevOps, and Infrastructure as Code
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Mid-level Software Engineer specializing in distributed systems and cybersecurity
Henry Wu
Mid-level Software Engineer specializing in backend, cloud infrastructure, and AI systems
“Built and launched a production self-healing MLOps agent that autonomously diagnosed and fixed model training failures on Kubernetes GPU infrastructure. Combines deep AI infrastructure knowledge with full-stack product ownership, and has delivered measurable impact including 35% less infrastructure waste, nearly 50% less troubleshooting time, and 60% lower LLM API costs.”
Executive Technology Leader specializing in AI, FinTech, and Blockchain
Mid-level Cybersecurity Consultant specializing in cloud and container security
Director-level technology strategist specializing in telecom, cybersecurity, and federal systems
Senior Full-Stack Engineer specializing in Python backends and cloud web applications
Mid-level Software Engineer specializing in cloud-native microservices and MLOps