Eeshan Umrani
Research Assistant
About
M.S. Computer Engineering graduate from Virginia Tech with experience building AI-native applications, large-scale data pipelines, and cloud systems.My work spans multi-agent workflows, LLM applications, semantic retrieval, backend systems, and distributed infrastructure. I enjoy solving ambiguous problems and building end-to-end systems, from data ingestion and model integration to deployment and evaluation.Interested in Agentic AI, intelligent systems, cloud infrastructure, and scalable backend engineering.
India
Pune City
Information Technology & Services
Back-end Operations, TensorFlow, Probabilistic Models, Security Testing, Metadata Modeling, Technical Reports, Named Entity Recognition (NER), Workflow Engines, Deep Reinforcement Learning, Accelerated Testing, Semantic Search, Machine Learning, Engineering Outsourcing, Express.js, AWS Lambda, Data Scraping, Variational Autoencoders (VAEs), FastAPI, Computational Intelligence, Autonomous Systems (Internet)
Experience

Research Assistant
NetSecureLab, Virginia Tech
Built and maintained large-scale internet measurement and AI pipelines for organizational mapping research, including high-throughput web crawling, NLP/LLM-based inference systems, and semantic retrieval workflows that supported internet-scale analysis and publication at IMC Student Workshop 2025.

Quantitative Researcher
Dataism Laboratory for Quantitative Finance
Developed and evaluated machine learning models for statistical hypothesis testing on large financial datasets, designing data-processing pipelines and conducting experiments to improve model performance and research iteration speed.
Education
Eeshan Umrani's Contact Information
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