I am Punit Arani, I'm a Computer Science major with a minor in Computational Mathematics. My expertise spanning embedded systems, distributed systems, and machine learning. Through continuously taking on projects that solve real problems, I build valuable skills and deliver tangible solutions. I aim to graduate with broad, in-demand technical abilities and a proven track record building things that matter.
- Computer Vision: Applying CNNs and deep learning for classification, detection and segmentation.
- NLP and LLMs: Developing and fine-tuning (large) language models for quantitative finance and scientific literature analysis.
- Reinforcement Learning: Creating self-learning systems to optimize predictions and decisions over time.
- Languages: Python, C/C++, JavaScript, Java, SQL
- Backend Frameworks: Django, FastAPI, and Express.
- Frontend Frameworks: React, SvelteKit and Next.JS.
- Machine Learning and Artificial Intelligence: JAX, OpenCV, PyTorch, and Scikit-Learn.
- Firmware Development: Bare-metal and RTOS with C for STM32, Renesas, and Arduino.
- Hardware Development: Circuit and PCB Design with Altium and Eagle.
- Cloud & DevOps: AWS, Azure, CircleCI, Docker, and Terraform.
I specialize in researching and developing Algorithms and ML systems to solve complex real-world problems. My focus areas are quantitative finance, scientific computing, and scalable AI systems.
| Hackathon | Project | Description | Tech Stack | Prizes |
|---|---|---|---|---|
| UC Berkeley AI Hackathon | Prosper AI | AI Powered Financial Advisor | Python and React | Grand Prize |
| PennApps 24 | DataDaddy | Autonomous ML and Exploratory Research Made Easy | Python and Next.JS | Best Financial Hack (sponsored by Capital One) |
| Hack@CEWIT2023 | WasteNot | AI Powered Food Donation and Delivery Platform | Python and React Native | AI Mastermind, Climate Action Hero, Hacking Hero, and HealthTech Hero |
| OuterEdge LA 2023 | LiquidPool | Add liquidity to PooledNFT | Next.JS | HiFi Bounty For Using Pooled NFTs |
| Stanford TreeHacks 2024 | Althea | AI Research Assistant for Scientific Literature | Python and Streamlit | |
| HackMIT 2023 | MedLingua | Medical Records with Superpowers | Python and SvelteKit | |
| Stanford LLM x Law Hackathon | LegalBERT | BERT embeddings fine-tuned for legal documents | Torch and Transformers | |
| SB Hacks IX | RabbitHole | Learn Anything and Everything Faster and Efficiently | Python | |
| AI SF 2023 | IntelliRate | Shopping Decisions and Reviews Simplified | Python | |
| Climate AI Hackathon | Sage | Research Faster, Better and Deeper | Python |
| Project | Description | Tech Stack |
|---|---|---|
| Cellular S&P 500 | S&P 500 Simulator with Neural Networks and Cellular Automata | Python (PyTorch) |
| Insider Trades Tracker | SEC Form 4 Tracker | Python (Plotly Dash) |
| Piqua | Equity and Options Quantitative Analysis Tool | Python (Pandas, Numpy, Streamlit) |
| Project | Description | Tech Stack |
|---|---|---|
| AgentML | Automated ML model research and development agent | Python and Streamlit |
| ClotScape | CT Scan Aneurysm Analysis Tool | Python and OpenCV |
| Project | Description | Tech Stack |
|---|---|---|
| MAT 494 | Mathematical Methods in Data Science | Python (Numpy, Pandas, Scipy) |
| MAT 421 | Applied Computational Methods | Python (Numpy, Pandas, Matplotlib) |
| CSE 360 | Pizza Ordering System | Java (JavaFX) |