About Me
I focus on building thoughtful, user-first software with clean architecture and performance in mind.
About me
I enjoy building across the stack and turning rough ideas into clean, usable products. I care about how things work behind the scenes and how they feel in the hands of real users, and I’m constantly working on improving both.
Philosophy
I think good software is built the same way good products are: with clarity, intention, and long-term thinking. I care about clean systems, predictable behavior, and writing code that another engineer can trust and build on without fighting it :)
Currently
Building and refining full-stack projects while experimenting with AI-driven tools. Learning how real-world systems evolve through usage, traffic, and constraints. Always open to meaningful problems and working with thoughtful, curious builders.
Master of Science
Computer Science
University of Maryland, Baltimore County
Bachelor of Technology
Information and Communication Technology
Pandit Deendayal Energy University
Tech Stack
Work Experience
Software Engineer - Platform & AI
Focused on identifying friction points in the business-plan workflow by introducing structured activity logging that exposed how users interacted with prompts and edits. Strengthened cost visibility by adding real-time token-spend tracking tied to sessions, helping identify inefficiencies early. Enhanced evaluation of AI output quality by implementing a comparison system that surfaced recurring gaps between generated content and user revisions.
Software Engineer
Resolved large-scale data inconsistency by creating a stable migration framework that standardized thousands of legacy healthcare contracts. Eliminated approval bottlenecks through adaptive workflow redesign that reduced turnaround time and improved reliability. Reduced configuration effort by automating contract-model setup, converting a slow, error-prone process into a fast and predictable one, supported by real-time review synchronization for distributed teams.
Full Stack Developer
Improved revenue and user flow by refining the storefront experience to remove friction during browsing and transactions. Strengthened retention and engagement through incentive systems that encouraged repeat activity and reduced churn. Increased discoverability and trust by addressing SEO, load-time, and accessibility issues, leading to stronger organic traffic and smoother user interaction.
Contributions
TokenWise Tracker
Built a lightweight npm package to track OpenAI API token usage, cost, and latency at the application level. Enabled per-user and per-feature cost visibility by logging structured metadata directly into developer-controlled databases.
Advent of Big Data Technology in Environment and Water Management Sector
Co-authored a comprehensive review paper exploring how Big Data technology is transforming environment and water management. The research discusses the integration of IoT devices, computational advances, and real-world applications of Big Data solutions in environmental monitoring and water resource management, along with current challenges and future scope.
Projects
Pole to Podium: Visualizing F1 Performance
Built a visualization tool to make Formula 1 race data easier to understand. F1 generates tons of data during races, but it's hard to make sense of it all in real-time. I processed and transformed the raw data to create clear visualizations that show driver and car performance in a way that's actually useful for fans.
Multi-Threaded Pollard's Factoring Algorithms
Architected and implemented a high-throughput parallel computing framework in C++ and GMP to execute advanced integer factorization algorithms (Pollard's rho, p-1), successfully factoring RSA moduli up to 140 bits and demonstrating a practical capability to identify and exploit cryptographic weaknesses.
Fault Analysis for Wind Turbines
Conducted data preprocessing and applied advanced machine learning techniques - Random Forest, One-Class SVM, and XGBoost - for classification and predictive analysis, focusing on detecting and diagnosing turbine faults.