I create scalable machine learning systems, train large language models, and explore quantum-enhanced algorithms to solve real problems.
A comprehensive platform comparing GPU prices across various cloud providers, with an integrated MCP server and AI agent for intelligent GPU selection based on specific project requirements.
A custom 1.3B parameter GPT2-style language model pretrained on 500B tokens from diverse sources including Oscar, OpenWebText, Wikipedia, and ArXiv, achieving impressive perplexity scores.
An interactive Kalman filtering visualization tool with step-by-step influence diagram representation, illustrating the Bayesian update process with best-in-class educational interface.
Built an automated platform for fine-tuning LLMs with configurable Docker images (1k+ downloads). Fine-tuned Llama 3.1 8b achieving 48% MFU and improving MT-Bench scores by 28%, with load-balanced inference pipeline using vLLM.
Developed a sentiment analysis model leveraging D-Wave's quantum annealer for faster optimization, achieving 85% accuracy on tweet data using an optimized Naive Bayes Algorithm, outperforming classical optimizers by 3%.
Built gpufindr, a platform to compare GPU instance prices across various providers. Developed API and MCP and connected to AI agent to automatically find and rent the best instance for each project from a text input.
For BoilerMake XII: Developed platform to create AI agents on demand and connect them. Won 1st place for: Caterpillar best use of Cloud Computing, MLH Best use of Generative AI, Purdue Innovates: Most likely to become a business
Built an ETL pipeline to clean and process 34TB of Reddit text data into 5GB of high-quality training data using CAIOS and CKS filtering systems for machine learning applications.
Authored and published a comprehensive benchmarking toolkit for assessing quantum hardware performance using Grover's algorithm, with standardized metrics for quantum system evaluation.
Part of ARC (Autonomous Robotics Club), designed and built a fully autonomous campus drone delivery system for packages using PX4 flight controller and computer vision.
Simulate rigid bodies with integration for relativity, gravity, and special environments.
Helped launch a cloud policy engine with new business KPI dashboard and eight API endpoints, providing platform insights and metrics without increasing load times during two full-time internships.
Custom 1.3B parameter GPT2-style language model pretrained on 500B tokens with PyTorch and CUDA optimization.
View RepositoryPlatform to compare GPU prices across cloud providers with MCP server and AI agent integration.
View RepositoryOpen source PyPI package for Kalman filtering with influence diagram visualization (1.5k+ downloads).
View Frontend Repository View PyPip RepositoryScans 1 million+ news articles since 1970 and efficiently embeds and clusters (on gpu) into stories for LLM finetuning.
View RepositoryCalHacks 2025 submission: Agent ecosystem to create and connect AI agents on demand.
View RepositorySystem to turn text prompts into useful cad models for mechanical engineers.
View RepositoryFully autonomous campus drone delivery system using PX4 flight controller and computer vision.
View RepositoryAutomated platform for LLM fine-tuning with configurable Docker images and vLLM inference pipeline.
View Image View RepositoryETL pipeline processing 34TB of Reddit data into 5GB high-quality training corpus using CAIOS and CKS.
View RepositoryB.S. Computer Science - AI/ML Track
Minors in Physics and Mathematics
GPA: 3.95/4.0
Coreweave - Sunnyvale, CA
Sentra - Tel Aviv, Israel
Purdue's annual AI agent hackathon (500+ students)
MIT's quantum computing hackathon
Top 50 hackers worldwide (150k+ eligible)
Grover-based Benchmarking Toolkit for Quantum Hardware
I'm a Computer Science and Physics student at Purdue University with a passion for building scalable AI/ML systems and exploring the frontiers of quantum computing. My experience spans from fine-tuning large language models at Coreweave to developing quantum-enhanced algorithms for NLP applications.
I believe in building systems that not only perform well technically but also deliver real value to users - evidenced by my projects reaching thousands of users and downloads across multiple platforms.