MSc Data Science graduate from CHRIST University (2026) with a BSc in Statistics and hands-on AI/ML engineering experience across internships and independent production-grade projects. IEEE-published researcher and Government of India Design Patent co-holder.
Experienced in end-to-end machine learning and deep learning — from data preprocessing, feature engineering, and model training to deployment, monitoring, and retraining. I build Generative AI applications, LLM-powered systems, RAG pipelines, and agentic AI workflows using LangChain, LlamaIndex, and model APIs.
Strong statistical foundation with applied experience in hypothesis testing, A/B testing, predictive analytics, and data-driven decision making. I follow MLOps best practices with CI/CD, experiment tracking, and model versioning.
PythonTensorFlowPyTorchLangChain
RAGLLMOpsPower BISQL
AWSDockerStreamlitGitHub Actions
Scikit-learnApache Spark
Machine Learning & AI
CNN, LSTM, GRU, Transformers, XGBoost, Random Forest, Transfer Learning, A/B Testing, Time Series
Generative AI & LLMOps
LLMs, RAG, AI Agents, LangChain, GANs, VAE, Diffusion Models, Prompt Engineering, FAISS
Data Science & Analytics
EDA, Hypothesis Testing, Predictive Analytics, Statistical Modelling, Power BI, Tableau, Plotly
Cloud & Infrastructure
AWS, Google Cloud, Docker, Flask, FastAPI, GitHub Actions CI/CD, MLOps, Streamlit Cloud
