A*****i
About Candidate
M.Sc. graduate in Industrial Mathematics with Computer Applications specializing in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Generative AI. Proficient in Python, SQL, TensorFlow, PyTorch, Scikit-learn, OpenCV, FastAPI, and Streamlit with hands-on experience in developing, training, evaluating, and deploying end-to-end AI/ML applications.
Completed internships in AI/ML and Computer Vision, developing intelligent surveillance solutions using YOLOv8, implementing deep learning models for oil spill detection, and working on machine learning model development, feature engineering, hyperparameter tuning, cross-validation, and performance evaluation.
Built and deployed multiple AI-powered applications including Telecom Customer Churn Prediction, AI Resume Screening Assistant (RAG + LLMs), Enterprise AI Insurance Claim Processing Agent (LangChain, Gemini, OCR), AI-powered CCTV Crime Detection, Anime Recommendation System, Credit Card Fraud Detection, Recommendation Systems, and predictive analytics applications using Streamlit, FastAPI, and modern AI technologies.
Strong knowledge of Machine Learning, Deep Learning, Computer Vision, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, Hugging Face, AI Agents, Agentic Workflows, Embeddings, Vector Databases, Transformers, CNNs, RNNs, LSTMs, GANs, and MLOps. Passionate about designing scalable, intelligent, and production-ready AI solutions while continuously learning emerging AI technologies. Currently pursuing an Advanced Certification in Applied Data Science, Machine Learning & Artificial Intelligence from IIT Guwahati (E&ICT Academy).
Current Salary (₹)
Location
Education
Built a strong foundation in Mathematics, Statistics, Linear Algebra, Probability, Calculus, and Programming. Graduated with CGPA 9.87/10 from Savitribai Phule Pune University.
Specialized in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing, Optimization Techniques, Probability & Statistics, Python Programming, SQL, and Data Analytics. CGPA: 8.64/10.
Work & Experience
• Developed AI-powered CCTV Crime Detection System using YOLOv8, OpenCV, FastAPI, and Streamlit. • Achieved 91.31% Precision and 92.00% mAP@0.5 while developing AI-based surveillance, Gun Detection, and Accident Detection solutions.
Developing end-to-end Machine Learning pipelines involving data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation. • Comparing Logistic Regression, Random Forest, XGBoost, SVM, KNN, and Decision Tree using Cross-Validation, ROC-AUC, Precision, Recall, and F1-Score to identify the best-performing model.
