Eeshan Umrani

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.

Country

India

City

Pune City

Industry

Information Technology & Services

Skill

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

NetSecureLab, Virginia Tech

Research Assistant

NetSecureLab, Virginia Tech

2025-2 - 2025-8 · 7 mos

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.

Dataism Laboratory for Quantitative Finance

Quantitative Researcher

Dataism Laboratory for Quantitative Finance

2024-10 - 2025-2 · 5 mos

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.

Wipro

Software Engineer Intern

Wipro

LinkedIn
2024-1 - 2024-5 · 5 mos

Designed and developed cloud-native backend systems and internal AI tools on AWS, working across serverless infrastructure, CI/CD automation, and semantic search applications to improve scalability and engineering workflows.

Education

Virginia Tech

Virginia Tech

LinkedIn

Computer Engineering

2024-8 - 2026-5 · 1 yr 10 mos

Relevant Coursework: Advanced Machine Learning, Applications of Machine Learning, Natural Language Processing, Computer Vision, Network Security, Network Architecture and Protocols

Vishwakarma Institute Of Technology

Vishwakarma Institute Of Technology

LinkedIn

Computer Engineering

2020-8 - 2024-5 · 3 yrs 10 mos

Eeshan Umrani's Contact Information

Email

******@***.com

Phone

(**) *** ****

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