I'm a Computer Science undergraduate at SRM Institute of Science and Technology, specializing in Cloud Computing, with a strong interest in building intelligent systems that solve real-world problems.
I work across AI/ML, computer vision, data engineering, cloud infrastructure, and algorithms, while exploring the intersection of technology and space systems.
Currently, I'm interested in:
- 🤖 Artificial Intelligence & Machine Learning
- 👁️ Computer Vision & Deep Learning
- ☁️ Cloud Computing & Data Engineering
- 🛰️ Space Robotics & Astrobiology
- ⚙️ Algorithms & Intelligent Systems
Postpartum Depression Risk Prediction
An ML pipeline analyzing 1,500+ postnatal records to identify postpartum depression risk, benchmarking XGBoost, SVM, neural networks and ensemble approaches.
Python · XGBoost · SVM · Neural Networks · Hadoop · HTML
Computer Vision · Assistive Technology
A real-time hand-gesture recognition system built using a self-curated webcam dataset, TensorFlow Object Detection API and OpenCV to translate sign language gestures without specialist hardware.
Python · TensorFlow · OpenCV · Computer Vision
👗 MoodFit
GPU-Accelerated Intelligent Outfit Recommendation
A context-aware AI styling assistant that considers mood, weather and occasion to generate personalized outfit recommendations, with persistent memory for user preferences.
Python · AI/ML · GPU Computing · API Integration · HTML · CSS
📄 Research publication: MOODFIT — GPU Accelerated Intelligent Outfit Recommendation System
Graph Algorithms · Optimization · Visualization
An interactive airport flight-path optimizer implementing Prim's Minimum Spanning Tree algorithm to model route optimization and visualize the resulting network.
HTML · CSS · JavaScript · Graph Algorithms
Astrobiology Expedition · Computer Vision · Space Robotics
Contributed to rover-based astrobiology systems for the International Rover Challenge 2026, supporting environmental sample collection, analysis and characterization under Mars-analog mission conditions.
🏆 IRC 2026 — 4th Place Globally 🏆 Astrobiology Expedition — Winner
Python Java C SQL HTML/CSS
TensorFlow XGBoost SVM Deep Learning Computer Vision NLP Generative AI
AWS Data Engineering Data Analytics Data Visualization Hadoop
Git Linux MS Excel Canva PPT
- AWS Certified AI Practitioner
- AWS Certified Cloud Practitioner
- AWS Certified Data Engineer – Associate
- AWS Certified Solutions Architect – Associate
- IBM Python for Data Science
- IBM Cloud Essentials
- IBM Containers & Multicloud
As Corporate Lead of Team RUDRA, SRM's Mars Rover Team, I work across external communication, PR, social media and technical documentation, including competition documentation for international rover events.
I enjoy working at the intersection of technology, communication and space exploration.
🏆 International Rover Challenge 2026 — 4th Place Globally 🏆 Astrobiology Expedition — Winner 📄 Best Paper — ICCPCT 2026 ⭐ NPTEL Star — April 2026
MOODFIT: GPU Accelerated Intelligent Outfit Recommendation System ICCPCT 2026
PsyPredict: An EVM Based Postpartum Depression Predictor IEEE Publication
Chapter on Data Structures and Algorithm Applications Contemporary Research in Engineering, Management and Science
Building intelligent systems, solving meaningful problems, and exploring what's possible beyond Earth. 🚀