- ๐ Pursuing M.Tech in Artificial Intelligence and Machine Learning at VIT Vellore.
- ๐ค Building practical AI/ML applications involving machine learning, speech processing, and large language models.
- ๐๏ธ Developed an Offline Conversational AI Assistant using Faster-Whisper, Ollama, and Piper TTS.
- ๐ Worked on machine learning projects involving predictive modeling, data analysis, and model evaluation.
- ๐ง Interested in speech recognition, Retrieval-Augmented Generation (RAG), LLM evaluation, and AI system development.
- โ๏ธ Exploring backend development, API integration, and deployment of AI applications.
- ๐ฌ Research interests include reliable AI systems, hallucination detection, computer architecture, and hardware/software co-design.
- ๐ฑ Currently strengthening my skills in Python, FastAPI, LLM applications, model evaluation, and production-oriented AI development.
- ๐ค Interested in AI research, open-source contributions, and opportunities to build useful AI-powered products.
A local conversational assistant integrating speech recognition, language-model responses, and text-to-speech.
Technologies: Python, Faster-Whisper, Ollama, Piper TTS, Gradio
A machine learning project for predicting air quality using pollutant and environmental data.
Technologies: Python, XGBoost, Flask, Streamlit, Machine Learning
A Retrieval-Augmented Generation project for retrieving relevant information from medical documents and generating responses.
Technologies: Python, FAISS, Sentence Transformers, document processing, LLMs
- IEEE Research Publication: Verilog-based digital hardware design and implementation.
- Interested in research on reliable LLM applications, hallucination detection, speech AI, and computer architecture.
Programming: Python, Java, C, C++
AI and Machine Learning: Scikit-learn, XGBoost, model evaluation, predictive modeling, data preprocessing
Speech AI and LLMs: Faster-Whisper, Ollama, Piper TTS, Retrieval-Augmented Generation, FAISS
Backend and Deployment: FastAPI, Flask, REST APIs, Gradio, Git, Docker
Data and Visualization: SQL, Pandas, NumPy, Streamlit, Power BI
Cloud and Systems: AWS fundamentals, Microsoft Azure fundamentals, Linux, Verilog, TL-Verilog, RISC-V fundamentals
- GitHub: https://github.com/chillakalyan
- LinkedIn: https://www.linkedin.com/in/chilla-kalyan-sai-kumar-reddy/
- Medium: https://medium.com/@chillakalyan78
- LeetCode: https://leetcode.com/u/chillakalyan/
- Email: chillakalyan78@gmail.com
To build reliable AI applications, contribute to meaningful research, and develop practical machine learning and speech AI systems that solve real-world problems.