"I don't just build applications; I build intelligent experiences. My passion lies at the intersection of Generative AI, robust software architecture, and collaborative open-source development." 🚀
I am a dedicated AI/ML Engineer specializing in Generative AI and a firm believer in the power of open-source collaboration. I thrive on solving complex problems and transforming innovative ideas into practical, scalable solutions.
I go beyond just using models; I build end-to-end solutions. My expertise lies in architecting systems that leverage Large Language Models (LLMs) for complex tasks.
- RAG (Retrieval-Augmented Generation): Building smart systems that reason over private data.
- AI Agents: Designing autonomous agents that can plan, execute, and solve problems.
- Fine-Tuning: Customizing models to excel at specific, domain-oriented tasks.
I believe code is meant to be shared, improved, and built upon collectively. Contributing to open-source projects is not just about writing code; it's about being part of a global community that drives innovation forward.
- Active Contributor: I actively seek out opportunities to contribute to AI/ML libraries and tools.
- Collaborative Problem-Solving: I enjoy tackling issues, refining features, and improving documentation for the benefit of all users.
I'm fascinated by creating seamless, intelligent workflows. Using tools like N8N, I design and implement automation pipelines that save time, reduce errors, and allow humans to focus on more creative tasks.
| Category | Technologies |
|---|---|
| 🤖 AI/ML & GenAI | Python, LangChain, Hugging Face Transformers, PyTorch, Scikit-learn, TensorFlow |
| 💻 Backend & Languages | Java (SE/ME), FastAPI, Spring Boot, SQL (MySQL), NoSQL (MongoDB) |
| ☁️ Tools & Platforms | Docker, Git, GitHub Actions, N8N, Jupyter, NetBeans, AndroidStudio, Colab |
- BusinessAI: An AI-powered business intelligence tool that leverages LLMs to provide actionable insights from company data, demonstrating a practical application of RAG and AI agent architecture.
- Fit_Ai: Frist ever contribution to a Full-Stack project.
- PyEveryday: Added and implemented the Prediction model, improving performance by 15%.
I'm always open to collaborating on exciting projects, discussing new ideas in AI, or exploring opportunities. Feel free to reach out!
"Great innovations happen when passionate people come together. Let's build something amazing!" 🌈