A Software Engineer passionate about building AI-powered systems that bridge innovation and real-world impact. For the past 3 years, Iβve developed solutions using Generative AI β with a focus on Large Language Models (LLMs) β to help businesses optimize workflows, uncover insights, and improve decision-making.
- π§© LLM Applications β Creating AI agents that deliver efficiency, adaptability, and intelligent interaction
- π¬ Prompt / Context Engineering β Building structured context flows that improve LLM precision and relevance
- π Retrieval-Augmented Generation (RAG) β Powering grounded reasoning with embeddings and vector databases
- π§ Speech & Text Intelligence β Building Speech-to-Text pipelines and analytics systems to extract insights from voice data
| Category | Tools |
|---|---|
| Programming Language | Python |
| Machine Learning | Scikit-learn, Pandas, Numpy |
| Data Visualization | Matplotlib, Seaborn |
| Deep Learning | TensorFlow |
| Frameworks | LangChain |
| Audio Processing | Librosa |
| Version Control | GitHub |
| IDE | PyCharm, VSCode, Cursor |
| Cloud Architecture | Microsoft Azure, AWS |
| Others | Streamlit, GPT, APIs |
- π€ Agentic workflows & multi-LLM orchestration
- π§© Lightweight fine-tuning and adapters (LoRA / PEFT)
- π οΈ Evaluation frameworks for LLM reasoning
When Iβm not working on AI projects, youβll probably find me making music πΆ or playing tennis πΎ β my go-to ways to unwind and recharge.

