Work History
Full Stack Software Developer and AI/ML Engineer with an M.S. in Computer Science from the University of Virginia (GPA: 3.94). I specialize in building scalable data pipelines, AI-powered applications, and full-stack solutions that solve real-world challenges.
Currently working as a Data Engineering Research Assistant at UVA Darden School of Business, implementing automated scalable data pipelines processing 10TB+ of raw data and integrating Large Language Models using the OpenAI API. Previously contributed to mission-critical applications at Rhombus Power Inc. and served as a Founding Engineer at Lab Systems (I) Pvt. Ltd., architecting cryptocurrency forensics and disk forensics solutions.
Technical expertise spans Python, JavaScript, C/C++, SQL/NoSQL, and modern frameworks including ReactJS/NextJS, Flask, and Docker. Hands-on experience with LLM fine-tuning, Retrieval Augmented Generation (RAG), AI Agents, and distributed systems. Granted aGerman patent for a Blockchain-based pharmaceutical supply chain management system.
Aug 2025 - Present
University of Virginia Darden School of Business
Data Engineering Research Assistant
Engineered scalable data pipelines and AI-powered systems to support faculty research and large-scale data analysis.
Implemented and automated scalable data pipelines processing 10TB+ of raw data, improving overall workflow efficiency by 70%.
Built robust data ingestion and web scraping systems to collect millions of structured and unstructured records.
Integrated LLMs using the OpenAI API to streamline data processing and enable automated insights from large datasets.
May 2025 - Aug 2025
Rhombus Power Inc.
Full Stack Development Summer Intern
Contributed to full-stack development and data solutions for mission-critical applications.
Developed a data solution to parse, predict, and generate GeoJSON data from active satellites, reducing runtime by 40%.
Contributed to full-stack development across multiple applications, ensuring performance, scalability, and security.
Identified and resolved critical issues in production deployments, improving stability and reliability of client applications.
Worked with tech stack including PHP, CodeIgniter, Node.js, ReactJS, Apache Airflow, Docker, S3, Vault, and JIRA.
Sep 2024 - Nov 2024
University of Virgina (UVA) CS Department
Graduate Research Assistant
Research Assistant in Machine Learning And Systems Security.
Worked on threat detection and SIEM Rulesets for Windows and generating datasets using SOCBED and AMIDES machines.
Evaluated and analysed various research based systems for threat detection using machine learning and security principles.
Replicated multiple projects using reverse engineering and research paper principals, proving SIGMA ruleset ineffective.
Aug 2023 - Jul 2024
Lab Systems (I) Pvt. Ltd.
Founding Full Stack Software Developer
Founding engineer of the Karpuragaurai Development Wing, driving core platform development and initial technology roadmap.
Architected and implemented a scalable cryptocurrency forensics and disk forensics web applications in a startup environment.
Built User Interface and API services in C++ and Python, enhancing software performance by 70% via multiple optimization.
Developed AI-driven forensic agents to automate evidence analysis, anomaly detection, and investigation workflows.
Lead a Product Development team to optimize workflows and usage of system architecture design to devise solutions for clients.
Streamlined deployment by implementing DevOps, optimizing cloud and Linux servers with network topology and containerization.
Aug 2022 - Jul 2023
Lab Systems (I) Pvt. Ltd.
Full Stack Software Developer Intern
Gained expertise in cryptocurrency forensics and blockchain technology in a startup environment.
Gained expertise in cryptocurrency forensics using OSINT techniques, training a team to provide comprehensive forensic services.
Engaged in high profile cases involving over USD 20 million in cryptocurrencies such as Bitcoin in multiple countries.
Jun 2022 - Jul 2022
Amazon Web Services (SLRTCE)
Cloud Intern
Gained Expertise in AWS Cloud Internship.
Completed a training internship focusing on deploying end-to-end solutions on AWS Cloud services.
Deployed solutions using AWS Cloudfront, Amplify, IAM, WAF, EC2, CI/CD Pipeline, Lambda, S3, RDS, and DynamoDB.