I am a developer specialized in Machine Learning and AI Engineering, currently exploring the intersection of high-performance computing and LLM optimization. My work focuses on building scalable AI systems using RAG, fine-tuning, and hardware-level optimizations on Intel architectures.
- I’m currently working on: Continuous workspace snapshotting (Rewind) and AI inference optimization.
- I’m currently focused on: LoRA/QLoRA, KIVI 2-bit quantization, and SYCL/oneAPI performance.
- Future Goal: Advancing Open Source AI tools and contributing to high-impact research.
- Languages: English, Japanese (JLPT N5).
| Languages |
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| Backend |
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| Data & ML |
Pandas • NumPy • Matplotlib • Seaborn • spaCy • NLTK • Jupyter |
| Frontend |
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| Tools |
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| Project | Description | Tech Stack | Links |
|---|---|---|---|
| anIsland | A modern C++ OpenGL application featuring procedurally generated terrain, dynamic lighting, and advanced visual effects. | C, OpenGL, Modular Arch |
GitHub |
| terminus | Hybrid Web3 full-stack app: cryptographically secure Digital Time Capsule via Ethereum Smart Contracts. | JavaScript, Ethereum, Ganache |
GitHub |
| Finance_trader | Autonomous trading system using real-time data from 5 sources & 6 AI-driven engines; paper trading via Alpaca. | Python, AI, Alpaca |
GitHub |
| scem-evMan | Event hosting and management platform. | TypeScript |
GitHub |
| ringo | Open-source cross-platform AI chat app supporting text and voice, built with modern OSS. | TypeScript, AI, Multi-platform |
GitHub |
| llama.cpp | LLM inference in C/C++. | C++, LLM |
GitHub |
| intel_kivi_hybrid | KIVI algorithm on Intel XPU via SYCL/oneAPI, integrates with HuggingFace Transformers. | Python, HuggingFace, SYCL |
GitHub |
| F1_predictor | ML system for predicting F1 race outcomes using historical data, FastAPI, XGBoost. | Jupyter Notebook FastAPI XGBoost |
GitHub |
| sosc-website-v2 | Astro |
GitHub | |
| Cache_replacement | Compares FIFO, LRU, RL, XGBoost cache policies; reports hit rates against optimal baseline. | Python, RL, XGBoost |
GitHub |
| EarnEasy | ECommerce application for Students | JavaScript |
GitHub |
| Monte-carlo-simulation | Modern Portfolio Theory via Monte Carlo for Indian equity markets. | Jupyter Notebook |
GitHub |
| LLM_translation | Kannada Finetuning practise | Jupyter Notebook |
GitHub |
| tcp-messenger | E2E encrypted TCP chat app using Java 21+ Virtual Threads (Project Loom). | Java |
GitHub |
| CNN_ImageClassification | CNN on CIFAR-10, built with TensorFlow and Keras. | Python TensorFlow |
GitHub |
| Comment_analysis | Sentiment analysis of social media comments; FastAPI web API & ready-to-use notebooks. | Jupyter Notebook FastAPI |
GitHub |
To see more projects, visit your GitHub: View all repositories
| Certification | Issued By | Date | Link |
|---|---|---|---|
| Google Cloud Certifications | Google Cloud | 2025 | View Credly Profile |
| Microsoft Learn Achievements | Microsoft | 2025 | View Profile |
| Complete Tensorflow Course | GeeksforGeeks | Jul 2025 | View Credential |
| Learn JavaScript | Coursera | May 2025 | View Credential |
| Intermediate Machine Learning | Kaggle | Apr 2025 | View Credential |
| Foundational C# with Microsoft | FreeCodeCamp | Aug 2024 | View Credential |
| Java Fundamentals | Infosys Springboard | Dec 2024 | View Credential |


