Tanmoy Chowdhury
About Me
I am an engineer and researcher with a Ph.D. in Information Technology, specializing in Cross-Domain Reasoning, graph-based learning, and artificial intelligence. My work bridges scientific research and software development to solve complex real-world problems.
Throughout my career, I have worked across electrical engineering, bioengineering, and computing, from computational modeling and data-driven methods to production software and developer tools. I enjoy learning new domains, connecting ideas across disciplines, and turning them into useful technology.
Highlights & Updates
- Sep 2025
Founding Engineer, Arprax
Built and shipped Alnoms, an open-source performance governance platform for developers, featuring a Python (PyPI) package, CLI analyzer, VS Code extension, browser-based Live Analyzer, and automated CI/CD performance guardrails. Architected the underlying profiling, benchmarking, and analysis systems to evaluate execution scaling, computational bottlenecks, and algorithmic efficiency.
- Sep 2023
Sr. Programmer Analyst at Richland County Gov
Streamlined Assessor system data exchange via SSDT (optimizing ETL by 50-67%). Integrated state renewal platform with BSC via dual-layer data integration (API, SSIS). Supported server/database migrations and ensured .NET application stability.
- May 2023
Ph.D. in Information Technology
George Mason University, USA
Dissertation: Cross domain reasoning based on graph deep learning.
Presentation: Watch Defense
CGPA: 4.0/4.0
Featured Works
Alnoms
A Performance Intelligence Engine that analyzes and verifies algorithmic performance before code reaches production.
Graph Learning & Network Dynamics
Focus: Influence maximization, source localization, and graph neural networks.
Predictive Analytics in Complex Systems
Focus: Forecasting events in dynamic environments (Healthcare, Spatial data).
Security, Hardware & Systems
Focus: Applied cryptography, VLSI timing analysis, and secure biometric sketches.
unixLiveResponseTools
Automated forensic data collection toolkit for Unix systems. Arctic Code Vault Contributor ❄️.
State-of-the-Art AI Reviews
Focus: Major survey papers on LLMs and Neural Reasoning.
Let's Connect
I enjoy exploring challenging problems at the intersection of research, engineering, and emerging technology.
I am always open to exchanging ideas, discussing research or engineering challenges, and connecting with people working on interesting problems. If you would like to discuss my work, explore a potential collaboration, or simply start a conversation, feel free to reach out.