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Vetted Software Engineers in Washington
Pre-screened and vetted in Washington.
Junior Backend Engineer specializing in data pipelines and distributed systems
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Junior Full-Stack Software Engineer specializing in web apps, automation, and cloud
Senior Full-Stack Engineer specializing in cloud-native web apps and ML-enabled analytics
Mid-Level IT Support Specialist and Full-Stack Engineer with DevOps and QA automation experience
Senior Full-Stack Engineer specializing in AI products and SaaS platforms
Mid-Level Software Engineer specializing in full-stack and data/ETL systems
Mid-Level Software Engineer specializing in cloud, networking, and full-stack applications
Mid-Level Software Development Engineer specializing in Java, React, and AWS
Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and React
Mid-Level Software Engineer specializing in backend, cloud, and data engineering
Mid-level Software Engineer specializing in FinTech and AI platforms
Mid-level Software Engineer specializing in backend APIs and data pipelines
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Abhishek Namdev Sawant
Mid-Level Backend Software Engineer specializing in Java microservices and cloud platforms
“Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.”
Srinivasan Gomadam Ramesh
Mid-level AI/Data Engineer specializing in agentic AI and data platforms
“AI/LLM engineer who built a production resume-parsing and candidate-matching platform at Quadrant Technologies, combining agentic LangChain workflows, VLM-based document template extraction (~85% accuracy), and a hybrid RAG backend for resume-to-JD search. Notably integrated automated LLM evals and metric-based CI/CD quality gates to catch silent prompt/model regressions, and led a 3-person team across frontend/backend/testing.”
Ayushi Patel
Mid-level Software Engineer specializing in cloud data platforms and serverless ETL
“Data/ML engineer from HCLTech who modernized enterprise data by linking fragmented financial and supply-chain data across SAP/SQL Server/Snowflake using NLP entity linking and embeddings (FAISS). Delivered measurable impact including ~40% reduction in manual error-log triage and entity-linking accuracy improvements from ~86% to ~93%, with results surfaced in Power BI for real-time analytics.”
Mid-Level Software Engineer specializing in backend microservices and cloud infrastructure
Mid-Level Full-Stack Software Engineer specializing in LLM apps and MLOps
Mid-level Software Engineer specializing in cloud infrastructure and blockchain systems
Mid-level Software Engineer specializing in backend microservices, cloud infrastructure, and LLM agents