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Vetted Education Professionals in Virginia
Pre-screened and vetted in Virginia.
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.”
Emmanuel Ezeuko
Senior C++ Software Engineer specializing in embedded Linux, networking protocols, and game development
Shantnu Bhalla
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native FinTech
Kunal Mahato
Mid-Level Software Engineer specializing in full-stack systems and applied AI/LLMs
Quincy Cambrel
Mid-level Software Engineer specializing in Python, ML, and cloud observability
Aditya Reddy Sabbella
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.”
Sean Geddes
Intern Full-Stack Software Engineer specializing in workflow automation
Durga Shankar Kondaveeti
Junior Full-Stack Software Engineer specializing in Cloud, DevOps, and AI/ML
Tejaswi Samineni
Junior Full-Stack Software Engineer specializing in cloud-native and data-driven applications
Abhishek Paudel
Senior Robotics & Machine Learning Researcher specializing in planning under uncertainty
Ty Misiorek
Junior Software Engineer specializing in ML, NLP, and data systems
Sagar Parekh
Mid-level Robotics Researcher specializing in robot learning and human-robot interaction
Shantnu Bhalla
Mid-Level Full-Stack Software Engineer specializing in distributed systems and FinTech
Rutvik Dagadkhair
Junior Robotics Research Assistant specializing in autonomy, perception, and controls
Ellie Wang
Mid-level AI Research Scientist specializing in multimodal RAG and foundation models
Haoqiu Song
Junior AI/ML Researcher specializing in LLMs and healthcare informatics
Tejdeep Pathipati
Junior Software/Data Engineer specializing in AI/ML and cloud data platforms
Darshan Nere
Junior Full-Stack Software Engineer specializing in web, mobile, and AI-enabled collaboration tools
Abhish Khanal
Senior Robotics Researcher specializing in Embodied AI and learning-augmented planning
“Robotics software engineer with experience spanning safety-critical embedded medical hardware (low-cost neonatal baby warmer with PID temperature regulation) and advanced multi-robot planning research (belief-space planning with abstraction + MCTS to handle uncertainty). Strong ROS/ROS2 practitioner (Nav2/SLAM Toolbox/MoveIt) who builds custom packages (e.g., Insta360 panoramic imaging) and is hands-on debugging real robots from SLAM/frontier exploration to multi-robot collision avoidance and real-time performance.”
Roshan Dhakal
Mid-level Robotics & AI Researcher specializing in learning-augmented task and motion planning
Caleb Tate
Mid-level QA Tester specializing in game and web/mobile testing