I’m a full-stack developer, AI researcher, and simulation enthusiast passionate about building high-performance systems that integrate machine learning, automation, and real-time control. My interest in technology started with programming in Java and Python, and has since expanded to include deep learning, mathematical simulations, and AI-driven automation.
I enjoy working on projects that push the limits of computational efficiency, model optimization, and real-world applications of AI. Whether it's automating workflows, optimizing neural networks, or designing intelligent systems, I strive to create impactful solutions that enhance productivity and innovation.
AI/ML:
Backend:
Automation & Deployment:
Data Science:
📄 PDF Summarizer (Django • NLP • Milvus)
A semantic search engine for documents that helps users quickly extract key insights from research papers and long reports.
✅ Uses RoBERTa and BART for intelligent summarization.
✅ Generates citation-backed answers via Milvus vector DB, ensuring verifiable research results.
✅ Features a Django backend with asynchronous processing, making the system highly responsive.
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A next-gen AI-powered personal assistant that will:
🔍 Learn from user workflows and suggest automations.
🧠 Run entirely on-device for privacy (no cloud dependency).
🌐 Be cross-platform, supporting Windows, Linux, and Android.
This project aims to make daily tasks effortless, allowing users to focus on what truly matters.
🚧 Currently in research & planning phase 🚧
🏎️ MicroMouse (Robotics • AI)
A maze-solving AI-powered robot that:
🤖 Uses A and Deep Flooding algorithms* to efficiently navigate mazes.
⚡ Implements real-time control using Python and Arduino, ensuring precise movement.
🧠 Adapts to different maze layouts, improving performance over time with optimization techniques.
- AI-Driven Automation: Developing smarter, privacy-focused task automation without compromising user control.
- Optimizing Transformers: Experimenting with JAX and CUDA to improve model efficiency.
- Mathematical Simulations: Exploring vector calculus, differential equations, and numerical methods for real-world applications.
| Goal | Key Technologies | Key Milestones |
|---|---|---|
| AI Automation Platform | Python, ONNX, Django | Develop automation engine, integrate with apps |
| ML-Powered Search Engine | FAISS, Transformer Models | Optimize indexing, improve accuracy |
| Simulation-Based Learning | NumPy, Python, TensorFlow | Create physics-based AI training environments |
I’m open to working on:
- AI/ML: Transformer model optimizations, novel architectures.
- Mathematical Simulations: Real-world physics modeling using AI.
- Automation: AI-driven workflow improvements and productivity tools.
🚀 Let’s push the boundaries of AI, automation, and simulation together!