Hello! I'm a student at IIT Bombay, a place where innovation meets tradition.
My passion lies in the realms of Machine Learning & Cyber Security. These fields are not just my academic interests; they are the driving forces behind my curiosity and my pursuit of knowledge.
As an avid learner, I'm always on the lookout for new challenges and opportunities to expand my horizons. Each day brings a new adventure in the world of technology, and I'm excited to explore what the future holds. Learn More
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Bachelors's Degree 2021 - 2025B. Tech, Chemical Engineering
Indian Institute of Technology Bombay -
12thScience and Mathematics, CBSE (94.80%)
The Doon Valley Public School, Deoband -
10thScience, CBSE (93.60%)
The Doon Valley Public School, Deoband
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AthleticsPart of Athletics team IIT Bombay
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Cyber SecurityPassionate about cybersecurity, where every challenge is a step towards safeguarding the digital world
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Inter IIT playerSelected for INTER IIT SPORTS MEET '23 in the institute Athletics team of IIT Bombay
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Tech Competition ParticipationParticipated in Wifi Controlled Racing Bot (XLR8) & Radio Control Plane competitions organized in IIT Bombay
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Coordinator — Media and Public Relation, Abhyuday IIT BombayModerating & assisting the publicity plans of various initiatives being organised for diverse target audience
Dec 2023
DeNA, Tokyo - Japan
- Developed a bot-detection algorithm that effectively capture existing & newly created bot accounts on Pococha app
- Banned 15,000+ bots from Pococha Live app with 50L+ downloads in India, enhancing revenue potential for the platform
- Leveraged network science tools to decode user behavior, revealing latent connections & insights from app usage patterns
Dec 2023
AiProff
- Received a Letter of Recommendation from the CEO of the company
- Developed a computer vision-based Machine Learning model to prevent animal intrusion in the agricultural fields
- Applied advanced computer vision techniques of Vision Transformers to address real-world challenges in agriculture
- Improved model accuracy through successful implementation of data collection & data augmentation techniques
May-Dec 2023
Guide: Prof. Milind Sohoni, Department of Computer Science & Engineering, IIT Bombay
- Contributing to the development of a sustainable transportation system to serve larger population in Maharashtra
- Conducted a field visit and engaged with depot manager to closely observe operations and identify the challenges
- Applied advanced computer vision techniques of Vision Transformers to address real-world challenges in agriculture
- Utilized QGIS to create an integrated MSRTC bus routes network layer with OpenStreetMap visualization
June 2022
Guide: Prof. S Akshay, TA Karan Agarwalla
- Develop a program to decode the encoded text using the ETAI strategy, dictionary closure & secret word enumeration
- Implemented dictionary attack & brute force mechanisms that finds key in the event of failure with primary techniques
- Utilized OOPs, STL, and File handling as fundamental concepts in C++ to develop robust and efficient algorithm
Apr 2023
Deep Learning
- Trained the model on a vast publicly available dataset of 150 songs (100 Training set , 50 Test set) named MUSDB
- Employed diverse range of Spectrogram & Masking techniques for high-quality isolation of Drums, Bass, Vocals sounds
- Applied advanced data preprocessing techniques using Fourier Transform (STFT) to enhance the model’s accuracy
Dec 2023
Computer Vision
- Developed an ANPR model using computer vision, integrating Vision Transformers for superior accuracy & performance
- Improved ANPR accuracy via advanced image processing & object detection across various colors & plate sizes
Dec 2023
Computer Vision & NLP
- Leveraged the VGG16 model to fine-tune ICG, achieving high accuracy in generating contextually relevant captions
- Implemented a CNN-RNN architecture, combining CNN for feature extraction & LSTM for generating image captions
Mar 2023
Computer Vision
- Developed an innovative app utilizing a neural network to accurately detect potato plant disease using leaf image
- Integrated the model with a frontend webpage & utilizing FastAPI as the backend framework to fetch the model
- Successfully deployed the model on the Google Cloud Platform (GCP), enabling seamless accessibility to users