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Vetted Education Professionals in Virginia
Pre-screened and vetted in Virginia.
Popular Titles
Executive IT Leader specializing in enterprise transformation and cybersecurity
Ebtesam Haque
Mid-level AI Researcher specializing in LLMs, developer tools, and human-centered AI
“Research-focused AI engineer who built an agentic pipeline to automatically extract Sphinx-based API documentation/changelogs and generate synthetic tasks for a dynamic LLM code benchmark targeting real-world API evolution and deprecations. Experienced with multi-agent orchestration (AutoGen, LangChain, CrewAI) and rigorous evaluation methods, and has prior multi-agent work from a Microsoft Research internship.”
Shriya Challapuram
Mid-Level Software Engineer specializing in LLM-powered developer tools
“Built and owned "Cortex," an AI agent that helps users understand large GitHub repositories by mapping architecture and relationships between files/folders in minutes. Implemented an agentic, multi-stage prompt decomposition approach and validated it across open-source repos, while also doing legacy service modernization work involving dependency upgrades and refactors.”
Senior C++ Software Engineer specializing in embedded Linux, networking protocols, and game development
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native FinTech
Kunal Mahato
Mid-level Software Engineer specializing in AI, full-stack systems, and platform engineering
“Full-stack/AI engineer with experience spanning supply-chain product deployments, biomedical agentic search, and research-grade RAG evaluation. Stands out for owning customer-facing migrations at scale (including 216,000 historical shipments), building measurable LLM systems, and pairing AI experimentation with rigorous evals, rollout controls, and auditability.”
Mid-level Software Engineer specializing in Python, ML, and cloud observability
Mid-Level Software Engineer specializing in cloud-native distributed systems and DevOps
Daniel Berhane Araya
Senior AI/ML Engineer specializing in production-grade LLM systems for regulated finance
“AI/LLM engineer with published work who built FinVet, a production financial misinformation detection system using multi-pipeline RAG, confidence-based voting, and evidence-backed outputs (F1 0.85, +37% vs baseline). Also built NexusForest-MCP, a Dockerized Model Context Protocol server exposing structured global deforestation/carbon data via SQL tools for reliable LLM tool use. Previously delivered borrower risk-rating (PD) models at BMO Financial Group that were validated and integrated into an enterprise credit system through close collaboration with credit officers and portfolio managers.”
Intern Full-Stack Software Engineer specializing in workflow automation
Junior Full-Stack Software Engineer specializing in Cloud, DevOps, and AI/ML
Junior Full-Stack Software Engineer specializing in cloud-native and data-driven applications
Senior Robotics & Machine Learning Researcher specializing in planning under uncertainty
Junior Software Engineer specializing in ML, NLP, and data systems
Mid-level Robotics Researcher specializing in robot learning and human-robot interaction
Mid-Level Full-Stack Software Engineer specializing in distributed systems and FinTech
Junior Robotics Research Assistant specializing in autonomy, perception, and controls
Mid-level AI Research Scientist specializing in multimodal RAG and foundation models
Junior AI/ML Researcher specializing in LLMs and healthcare informatics
Junior Software/Data Engineer specializing in AI/ML and cloud data platforms