Data Science Explorer | 4th Year M.Sc.
Specializing in Stable Diffusion personalization, Reinforcement Learning, and NLP. I build end-to-end data pipelines and AI-driven applications that bridge the gap between complex data and human-centric solutions.
Currently pursuing an Integrated MSc in Data Science at Amrita Vishwa Vidyapeetham. This journey has been about mastering the core principles of Machine Learning, Deep Learning, and Generative AI foundations.
A specialized toolkit for modern AI challenges.
Stable Diffusion, DreamBooth
CNN, LSTM, BERT, Transformers
Q-Learning, PPO
Python, SQL, Pandas, PyTorch
Developed a specialized chatbot using RL-based reward modeling and NLP to generate context-aware, emotionally supportive responses. This project focused on creating a dialogue system that learns to be more empathetic over time.
Built a time-series prediction model using a Hybrid LSTM-CNN architecture. Integrated LIME (Local Interpretable Model-agnostic Explanations) to solve the "black box" problem of deep learning in financial markets.
Implemented DreamBooth fine-tuning to personalize Stable Diffusion models. Created a pipeline for user-specific image generation, allowing for the seamless integration of specific faces or objects into AI-generated art.
With experience in research writing and hands-on ML engineering, I am now seeking a Data Scientist / ML Engineer internship to apply my analytical skills to impactful AI projects.
Whether it's discussing the nuances of RAG pipelines or exploring new frontiers in Generative AI, I'm always open to connecting with fellow data enthusiasts.