About Me
Result-driven Machine Learning Engineer with 5+ years of experience designing, deploying, and optimizing ML/DL/GenAI solutions. Passionate about solving real-world problems through AI innovation.
Skills
Languages/Tools: Python, SQL, Git, Bash
Libraries/Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, XGBoost, NLTK, SpaCy
Deployment & Web: Flask, Streamlit, FastAPI, Docker, AWS (EC2, S3), Azure
Concepts: Supervised & Unsupervised ML, NLP, CNN, RNN, OCR, LLMs, RAG, Chatbot
Projects
Telecom Churn Prediction - Built a predictive model using XGBoost and Scikit-learn with an AUC-ROC of 0.85. Deployed using Flask on AWS.Wound Image Classification - Improved accuracy from 50% to 85% using CNN and OpenCV, deployed on AWS.RAG-Based Chatbot - Retrieval-Augmented Generation chatbot using LangChain and LLMs, integrated OCR, and deployed with Streamlit on AWS.
Experience
Freelance Data Scientist (Upwork) - 90% Job Success Score, delivering exceptional results for global clients.
Machine Learning Engineer (Qvantel, Hyderabad) - Developed AI/ML solutions for smart cameras and embedded systems.
