Vivekanand Education Society's Institute of Technology, Mumbai

Dec 2021 - May 2025

B.E. in AI & Data Science, Honours in Cybersecurity

• AI Courses: Artificial Intelligence, Maachine Learning, Deep Learning, Reinforcement Learning

• Data Science Courses: Data Warehousing and Mining, Big Data Analytics, Social Media Analytics, Statistics

• CS Courses: Data Structures, Algorithms, DBMS, OS, Web Development, Software Engineering

GPA: 9.6/10

Christ Academy, Navi Mumbai

July 2021

Completed HSC Class 12 with Distinction

Percentage: 97.67%

Christ Academy, Navi Mumbai

May 2019

Completed SSC Class 10 with Distinction

Percentage: 89%

Veermata Jijabai Technological Institute

Research Intern

Jan 2025 - April 2025

• Contributed to an autonomous vulnerability patching system by developing AI agents that analyze code snippets and identify security vulnerabilities with a detailed analysis using a CVE-based knowledge base.

• Fine-Tuned CodeT5 models for classifying vulnerable and safe code.

Reliance Industries Ltd.

ML/Data Science Intern

May 2024 - July 2024

• Worked on creating a Bidirectional LSTM model for Gas Sales Forecasting.

• Used Angular, OpenAI API, and Selenium to implement a RAG System for Dashboard Analysis & Interpretation.

Spartificial

ML Research Intern

May 2023 - July 2023

• Worked on the research project titled: 'Detecting Volcanoes on Venus'.

• Created a labeled dataset of volcanoes on Venus using satellite images from NASA.

• Built a CNN-based computer vision model with transfer learning to detect volcanoes.

• Report: Detecting Volcanoes on Venus.

• [1] S. Oswal, R. Bhalerao, A. Kulkarni, “Optimizing Biomass Forecasting and Supply Chain: An Integrated Modelling Approach,” Advanced Computing, IACC 2023. Communications in Computer and Information Science, vol. 2053, Springer, Cham, pp. 57-71, 2024.

ISTE-VESIT

Chief Technical Officer

Jan. 2023 - April 2025

• Speaker for a workshop on React, Flask, and a simple recommendationation system; attended by 100+ people.

• Developed a full-stack web application: Spotify Clone, using Flask & React along with a recommendation system.

• Speaker for a workshop on creating and publishing an AR game using Meta's Spark AR.

• Organized a 24-hour hackathon with over 400 participants.

Democratizing AI for MSMEs with Small E-commerce Language Models

• Developed and fine-tuned Small Language Models (SLMs) for Micro, Small, and Medium Enterprises (MSMEs), achieving competitive performance with lower resource requirements compared to larger models.

• Implemented scripts for data preprocessing, model fine-tuning using HuggingFace transformers and PEFT, and evaluation of SLM performance.

• Generated an augmented reasoning dataset from ECInstruct using quantized DeepSeek-R1 models to enhance model training and evaluation.

Techonologies Used: React, Node.js, Express, MongoDB, Unity

NeuroCogniTrainer

• Developed an integrated system aimed at enhancing cognitive retraining for children with developmental disabilities.

• Implemented features that provides retraining to the patients in the form of interactive games using Unity.

• Developed systems for therapists to assist them in making more effective analysis by presenting summarized visual representations of patients activities.

Techonologies Used: React, Node.js, Express, MongoDB, Unity

• Created an AI based community platform for Persons with Disabilities (PwD) with various AI based accessibility features, allowing for easy use for the PwDs.

• Presented the idea and app at the regional conference finals as a part of eYantra eYIC competition held by IIT Bombay.

Techonologies Used: E-Yantra, AI, Flutter, Ideation

• Made a full fledged template for a generic quick setup of Session Based Authentication.

• Implemented protected routing with a clean UI interface with proper backend implementation of cookies and storing sessions.

• Added support for HTTPS testing by enabling a flag and providing the appropriate certificates.

Techonologies Used: React, Node.js, Express, MongoDB

Predicting Forest Fires using AI/ML

Aug 2022 - Apr 2023

• Explored and understood time series forecasting and analysis using variuos supervised ML algorithms.

• Implemented models using various ML Algorithms such as XGBoost & fbProphet.

• Built a model that could predict a forest fire with 99.2% accuracy within India over the course of 2022.

Techonologies Used: Scikit-learn, AI, ML, XGBoost

• Implemented a basic tree walk interpreter in Java followed from Crafting Interpreters.

• Learned about various design patterns used in compilers.

• Can interpret basic control flow statements.

Techonologies Used: Java

• Made an agent that learns how to play the snake game using Reinforcement Learning.

• Used Deep Q Learning for the agent to learn how to play snake.

• Implemented the game using PyGame which acts as the environment for the agent.

Techonologies Used: Python, PyTorch, Reinforcement Learning

• Created a Simple Desktop Application that interacts with a database for auto filling the cost of drugs.

• Implemented the option to print invoices.

Techonologies Used: Java, Swing, Apache, MySQL

E-Yantra Innovation Challenge

April. 2023

Regional Conference Finalist

Shell.ai Hackathon for Sustainable and Affordable Energy

October. 2023

Ranked 12th in University Edition

IIIT Sricity National Healthcare Hackathon

December. 2023

1st Runner Up in IIIT Sricity National Healthcare Hackathon

Organized and Assisted the Placement Cell with conducting On-Campus Placement Drives

Participated in various Inter College Events as a part of the college basketball team