Certified AI and ML professional with hands-on experience in deep learning, computer vision, and NLP. Proficient in Python, TensorFlow, and PyTorch, with strong problem-solving skills and deployment experience using Flask and Gradio. Currently pursuing advanced certification in Generative AI and LLMs from IIT Kharagpur & TCS iON.
I am a certified AI and Machine Learning engineer with a B.Tech in Computer Science and Engineering. With hands-on experience in deep learning, computer vision, NLP, and data-driven application development, I specialize in building scalable and practical AI solutions. I have developed and deployed multiple end-to-end machine learning projects using Python, TensorFlow, PyTorch, Flask, and Gradio, including real-time emotion detection and neural machine translation systems.
Currently pursuing advanced certification in Generative AI and Large Language Models (LLMs) from IIT Kharagpur and TCS iON, I am eager to apply my skills in a dynamic and innovation-focused environment. Known for being a quick learner with strong communication, leadership, and problem-solving abilities, I am passionate about transforming complex problems into impactful, real-world applications.
Bachelor of Technology (B.Tech) in Computer Science & Engineering
Govt. College of Engineering & Textile Technology, Behrampore (Maulana Abul Kalam Azad University of Technology)
Passed 2019 | 7.31 CGPA
Senior Secondary School (Class XII)
Kendriya Vidyalaya, Burdwan (CBSE)
Passed 2015 | 65%
Higher Secondary School (Class X)
Kendriya Vidyalaya, Burdwan (CBSE)
Passed 2013 | 8.4 CGPA
Tools: Python, TensorFlow, Keras, OpenCV, Gradio
Developed a CNN model using VGG16 and ResNet50v2 on the FER-2013 dataset. Addressed class imbalance with augmentation and class weighting. Deployed for real-time emotion detection using Gradio and OpenCV.
Tools: Python, PyTorch, TorchText, Indic NLP
Built a Hindi-English translation system using GRU-based encoder-decoder with attention. Preprocessed IITB dataset, created custom DataLoader with teacher forcing, and tracked training with live loss plots and checkpoints.
Tools: Python, Pandas, Scikit-learn, Flask
Trained a regression model to predict house prices using real-world Bangalore housing data. Integrated the model into a web app using Flask with dynamic form inputs for features like location, BHK, size, etc.
Tools: Python, Pandas, Matplotlib, Streamlit, Heroku
Created a web-based tool to analyze WhatsApp chat histories. Extracted message-level stats, visualized message distribution, emoji usage, and participant activity. Deployed using Streamlit on Heroku.
Tools: Python, Pandas, Scikit-learn, KNN
Built a content-based book recommendation system using K-Nearest Neighbors. Leveraged book rating data and cosine similarity to suggest books similar to a user’s favorites.
I am currently exploring exciting opportunities in AI/ML, data-driven software development, and innovative tech-driven projects. If you're looking for a passionate engineer with experience in deep learning, NLP, or full-stack ML deployment, feel free to connect — I'm open to roles, research collaborations, or freelance AI projects.