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Vetted Containerization Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in AWS cloud infrastructure and microservices
Senior DevSecOps Engineer specializing in secure cloud CI/CD and compliance
Senior Software Engineer specializing in web and mobile applications
Mid-Level Software Development Engineer specializing in cloud-native backend systems
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Mid-level SDET specializing in test automation, API/microservices QA, and cloud-native CI/CD
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Mid-level Site Reliability Engineer specializing in Kubernetes observability and cloud infrastructure
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and document intelligence
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Senior Full-Stack Developer specializing in Python, AWS, and data/ETL systems
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Vaughn Eugenio
Mid-Level Software Engineer specializing in distributed microservices and real-time systems
“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”
NEHA KOLAN
Mid-Level Software Engineer specializing in microservices and cloud data pipelines
“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”
Saffinah Shi
Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems
“SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.”
Mounika Gunturu
Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms
“Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.”
keerthana medaveni
Mid-Level AI/ML Software Engineer specializing in agentic LLM systems
“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”