Pre-screened and vetted in Washington.
Mid-Level Software Development Engineer specializing in Java, React, and AWS
Mid-level Quality Engineer specializing in web and API testing
Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and React
Staff Full-Stack Software Engineer specializing in automation and AI-driven workflows
Mid-Level Software Engineer specializing in backend, cloud, and data engineering
Mid-level Robotics Software Engineer specializing in C++ and ROS2 for autonomous systems
Mid-level Software Engineer specializing in FinTech and AI platforms
Mid-level Full-Stack Engineer specializing in scalable web applications
Executive Startup Founder & Ecosystem Architect specializing in developer and venture partnerships
Senior Robotics Engineer specializing in human-robot interaction and teleoperation
Mid-level Software Engineer specializing in backend APIs and data pipelines
Senior QA Engineer specializing in automation, accessibility, and cross-platform testing
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Software Engineer specializing in full-stack systems and applied AI
“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).”
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.”
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.”
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.”
Executive software architect specializing in AI, Azure, and enterprise platforms
“Founder of NeuroCoreTech, an AI startup that has generated about $70K in under a year while building products including an interactive story platform, spam detection, and custom AI solutions. Brings startup experience dating back to 2009, exposure to $130M+ in fundraising, and a US patent, with a clear focus on revenue-first, privacy-conscious AI for PII/HIPAA-sensitive customers.”
Senior QA Lead specializing in game and cross-platform software testing