Tanmoy Chowdhury
About Me
I am an engineer and researcher with a Ph.D. in Information Technology. My work focuses on Cross-Domain Reasoning and AI, with research published in top-tier venues like ACM SIGKDD and IEEE TKDE. Throughout my career I have worked across electrical engineering, bioengineering, infomration technology, software engineering, and artificial intelligence, building practical systems informed by research.
As Founder of Arprax, I enjoy turning complex ideas into developer tools and software systems. My interests span machine learning, graph-based reasoning, performance engineering, and cross-domain problem solving.
Highlights & Updates
- Sep 2025
Founder, Arprax
Established Arprax, an AI Engineering & Developer Tools Lab focused on building high‑performance systems. Designed and developed core technology stacks, scalable architectures, and advanced analysis pipelines for complex software workflows.
- 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 am passionate about bridging the gap between theoretical research and industrial execution, turning complex ideas into practical software systems.
I am always open to discussing new ideas, research collaborations, or building impactful technology together. Whether you have a question about my work, Arprax, or just want to explore how research and engineering can solve complex problems, feel free to reach out.