• I'm a passionate Full-Stack Developer with strong Knowledge in Java, Python, Spring Boot, React, Next.js, MySQL, Mongodb, HTML, CSS, JS, TS, Fast api, Flask, Data Structures & Algorithms, Multithreading, Design Patterns, Object oriented analysis and design and LLD. I'm diving deep into System design refining my ability to architect scalable and efficient solutions. I thrive on solving complex problems, writing clean and maintainable code, and continuously learning to improve my craft. Whether it's backend services, frontend websites, or database optimization, I love building seamless experiences that make a real impact.
• I am also an expert in Artificial Intelligence, Machine Learning, Deep Learning, Agentic Ai, RAG — building a strong foundation in model development, data preprocessing, model training and model evaluation.I have hands-on experience with technologies ranging from basic libraries to advanced frameworks(numpy, pandas, matplotlib, seaborn, PyTorch, Scikit-learn, Langchain, Langgraph and Vector DBs like chromadb, Faiss). I Apply these capabilities to create intelligent, scalable applications.

portfolio

• I completed a 3‑month internship as an AI/ML Intern at iOPEX Technologies, Guindy, Chennai, where I gained hands‑on experience in machine learning and generative AI. In the first month, I trained on core ML concepts such as supervised vs. unsupervised learning, regression, classification, bias‑variance tradeoff, cross‑validation, and evaluation metrics, applying them to the Titanic dataset through data cleaning, EDA, feature engineering, model training, and evaluation using scikit‑learn pipelines. In the second month, I worked on a telecom customer churn dataset, handling imbalanced and noisy data with SMOTE, scaling, and encoding, then trained models including Logistic Regression, Decision Trees, Random Forest, KNN, SVM, AdaBoost, XGBoost, and CatBoost, applying hyperparameter tuning to build an optimized churn prediction model. In the third month, I collaborated with a team of six to develop a RAG pipeline indexing tool using LangChain, FastAPI, ChromaDB, FAISS, and embeddings from Sentence Transformers and Gemini, supporting multiple chunking strategies and vector DB storage with a retrieval UI. Additionally, I completed a one‑week hands‑on training in RPA using Blue Prism.
• Certificate:

• Certificate