Independent AI researcher and engineer exploring legal tech, analytics, and infrastructure optimization
Clean, intuitive interfaces built for clarity and performance using modern frameworks like Django, Flask, React, Streamlit, and WebGL.
Optimized SQL Server, MySQL, PostgreSQL, MongoDB, and vector-search architectures for AI, analytics, and secure data storage.
GitHub-based collaboration, CI/CD automation, and version tracking for transparent and secure development.
Design, optimize, and maintain relational and modern data systems.
Dockerized deployment, Azure/AWS integration, and GPU-ready environments for seamless scalability.
I design intelligent systems that merge data, design, and decision-making. From prototypes to research projects, my work explores AI across different domains.
Building intelligent, adaptable systems that align technology with purpose.
An OTT integration built with C#, Python, SQL Server, OpenAI, IBM Watson, FastAPI, Mistral, MongoDB, Pinecone, PowerBI, Unity, that connects live data pipelines to conversational AI.
View on GitHub
A virtual courtroom simulation framework integrating large-language models, legal analytics, and VR to advance legal training, education and AI-assisted judicial reasoning.
This prototype is not deployed, monetized, or used in production environments.
View on GitHubAn AI-powered city-parking dashboard using Python, PostgreSQL, MongoDB, and Power BI to optimize traffic flow and civic insight.
Learn MoreA diagnostic engine that analyzes query performance, execution plans, statistics, parameter sniffing, fragmentation, and index health to optimize enterprise SQL environments.
Learn MoreI build applied AI systems for truth, intelligence, and infrastructure—tools designed to analyze, decide, and act with clarity.
All work shown is exploratory and fully separate from any current or prior employer systems, data, clients, or intellectual property.
Applied Intelligence with Infinite Outcomes.
Interested in collaborating or want to learn more? Let's connect.