Research & Major Projects
MTech Project - 'Brain Atlas Analysis using Artificial Intelligence' [cite: 1]
Prof: Manikandan Narayan | Jul 25-Present [cite: 1]
- Developing an Al model using Sudha Gopalakrishnan Brain Centre (IIT Madras) dataset to analyze age-wise brain evolution through imaging data. [cite: 1]
- Phase 1 of this project is to make an Model that can annotate the brain atlas, specially hippocampus formation. [cite: 1]
- Designing a deep learning pipeline to predict structural/functional brain changes between input age x and output age y. [cite: 1]
- Extract and track key neuroanatomical and functional parameters driving age-related variations. [cite: 1]
- Investigate causal factors behind observed parameter changes using statistical and ML-based interpretation methods. [cite: 1]
- Contribute towards mapping unexplored regions and structural patterns in brain atlas for advancing computational neuroscience research. [cite: 1]
BTech Project- 'A Deep Learning Approach: A Facial Recognition System on Real-Time Dataset' [cite: 1]
Jan-Aug 2023 [cite: 1]
- Built a real-time facial recognition system using deep learning on a dataset collected from DIATM college students. [cite: 1]
- Implemented and compared KNN and CNN models for facial identification tasks. [cite: 1]
- Trained and optimized CNN model, saved as .h5 file for deployment. [cite: 1]
- Integrated model with live video stream to perform face recognition in real-time [cite: 1]
Course Projects
GPU Programming (CS6023) [cite: 1]
Professor: Rupesh Nasre [cite: 1]
- Developed parallel convolution algorithms for matrices, by leveraging memory coalescing and shared memory in CUDA. [cite: 1]
- Designed and implemented a cost-effective network pathway using a parallel version of Boruvka's algorithm in C++ and CUDA. [cite: 1]
- Created an evacuation simulation for a group of cities, utilizing concepts like synchronization and thrusts. [cite: 1]
Introduction to Deep Learning (DA6401) [cite: 1]
Professor: Mitesh Khapra [cite: 1]
- Modeled Feed Forward Neural Network from scratch and reached 97% test accuracy on the MNIST dataset. [cite: 1]
- Designed a Convolutional Neural Network(CNN) model and trained it to get 42% accuracy on the iNaturalist dataset. [cite: 1]
- Implemented a Se2Se architecture using Recurrent Neural Networks (RNNs), LSTM, GRU, to perform English to Hindi transliteration. [cite: 1]
Natural Language Processing (CS6370) [cite: 1]
Professor: Sutanu Chakraborti [cite: 1]
- Built an Information Retrieval system using the Vector Space Model, and applied it to the Cranfield dataset. [cite: 1]
- Implemented text processing techniques like sentence segmentation, tokenization, stemming/lemmatization, and stopword removal. [cite: 1]
- Engineered a spell-checking component and integrated features of WordNet to enhance text analysis. [cite: 1]
Pattern Recognition and Machine Learning (CS5691) [cite: 1]
Professor: C. Chandra Sekhar [cite: 1]
- Implemented a regularized linear regression model with polynomial basis functions, analyzing its performance. [cite: 1]
- Developed and evaluated various classification models, including K-nearest neighbors, Bayes, and Naive-Bayes classifiers. [cite: 1]
- Engineered Multi-Layer Feedforward Neural Networks (MLFFNNs) for function approximation and classification. [cite: 1]
- Implemented Support Vector Machines (SVMs) with different kernels, along with a GMM-based classifier. [cite: 1]
- Applied Principal Component Analysis (PCA) to reduce data dimensionality for enhanced model performance. [cite: 1]
Principles of Distributed Software (E0209) [cite: 1]
Professor: K.V. Raghavan (IISC) [cite: 1]
- Designed and developed a microservice-based Movie Booking System using Spring Boot. [cite: 1]
- Containerized services with Docker and deployed on Kubernetes for scalability and fault tolerance. [cite: 1]
- Implemented actor-based concurrency and distributed coordination using Akka. [cite: 1]
- Applied distributed systems principles (service discovery, load balancing, fault recovery) for high availability. [cite: 1]
Interactive Course Directory
Click a folder to execute readout sequence...
M.Tech Courses [cite: 1]
B.Tech Courses [cite: 1]
Online & Electives [cite: 1]
Technical Skills Stack
Languages [cite: 1]
C C++ Python CUDA Qiskit Html CSS JavaScript SQL Java [cite: 1]
Tools & Libraries [cite: 1]
Python Flask Pandas Numpy Keras LATEX WandB AI GitHub Matplotlib OpenCV Docker Jupyter Notebooks Google Colab LangChain LangGraph Chromadb RAG Blue Prism (RPA) Prompt Engineering StreamLitUI Hugging face Canva [cite: 1]
Scholastic Achievements & Positions
Scholastic Achievement [cite: 1]
- Secured AIR 23938 (TFW-AIR 6362) in WBJEE 2019 [cite: 1]
- Secured AIR 1306 in IMU CET June 2019 [cite: 1]
- Secured AIR 938 in GATE CSE 2023 [cite: 1]
- Secured AIR 119 in JEE AME 2023 [cite: 1]
Teaching Assistant (June 2024- Present) [cite: 1]
- Introduction to Programming course (CS1100) under Prof. B.V. Raghavendra Rao (Aug 2024 - Nov 2024). [cite: 1]
- Object Oriented Algorithm Implementation and Analysis course (CS2810) under Prof. Rupesh Nasre (Jan 2025 - May 2025). [cite: 1]
- Pattern Recognition and Machine Learning for CS- PG course (CS5691) under Prof. Manikandan Narayan (Aug 2025-Nov 2025) [cite: 1]
Organiser [cite: 1]
- Volunteered Vivitsu Lab (Prof. Gugan Thoppe, IISc) Reinforcement Learning on IISc Open Day 2024. [cite: 1]
- Digital Team Organiser in 2025 Symposium on Artificial Intelligence and Pharmaceutical Medicine (AIPM-India) 10-11 Sept'25. [cite: 1]