Building Intelligent AI Systems.
About Me.
I am an AI Researcher and Engineer deeply passionate about building intelligent, scalable systems. My journey in AI has led me through rigorous research environments, currently pursuing an MS (Research) in AI at IIT Delhi.
Right now, I'm working on inference-wise efficient vision foundation models, and my current approach involves pruning. Along the way, I've had the privilege of contributing to groundbreaking research at top institutions and organizations, including Sony Research, IISc, and various IITs. My work spans efficient Vision Language Models, multimodal recommendations, and autonomous robotics.
Beyond academia, I have experience as a Quantitative Researcher at STARLab Capital and actively mentor students to help them break into tech and research roles, driven by a belief in accessible, practical guidance.
Beyond the Screen
When I am not training models or writing code, you can find me exploring the world and staying active.
Professional Experience.
Quantitative Researcher
STARlab Capital
Researched and developed Alpha trading strategies for stocks, options, commodities, and forex (FX) markets. Designed and backtested quantitative models using Python, for high-frequency and systematic trading.
Machine Learning Intern
Charpixel Technologies
Led the development of real-time stock prediction models for NSE, achieving 87.9% accuracy with a 0.5% deviation. Directed time series and sentiment analysis to enhance market trend forecasting.
Summer Research Intern
Indian Institute of Science (IISc)
Worked on the integration of Large Language Models (LLMs) into four legged robots as the cognitive core of robot systems, leveraging Gen AI exceptional capabilities.
Machine Learning Intern
SONY Research India Private Limited
Developed a novel multi-modal recommendation system using LLMs. Implemented data augmentation pipeline using GPT-3.5 Turbo to address sparse user ratings, increasing data coverage by 3.5x.
Winter Research Intern
Indian Institute of Technology, Roorkee
Led groundbreaking research on stress detection and multilevel classification using ECG and EEG signals, pioneering a novel approach tailored to specified genders.
Summer Research Intern
Indian Institute of Technology, Patna
Developed state-of-the-art flood prediction system using hybrid CNN-LSTM architecture with Attention Mechanism, incorporating Bi-LSTM and Bi-GRU ensembles, achieving 76.5% reduction in prediction error.
Academic Background.
M.S. (Research) in Artificial Intelligence
Indian Institute of Technology Delhi
Jan 2026 - Dec 2028
Yardi School of Artificial Intelligence (MINDS). Departmental Rank: 3.
B.Tech in Computer Engineering
Aligarh Muslim University
Dec 2021 - June 2025
Strong foundation in computer science and machine learning. GPA: 8.76.
Selected Publications.
ABO Blood Type And Rhesus Factor Detection System : An Automated Approach
A novel automated system for fast and accurate blood typing and Rhesus factor detection using computer vision techniques.
Featured Projects.
Medical Chatbot
Engineered an AI-powered healthcare advisor using GPT-3.5 and RAG technology, enabling personalized medical analysis with 89% accuracy in symptom identification.
NaviData
Built an intelligent data analytics platform using GPT-4 that transforms natural language queries into SQL, achieving 95% query accuracy.
EmoSenseAI
Implemented NLP techniques and a hybrid ML + DL approach (SVM and LSTM) to optimize emotion recognition accuracy.
WalmartSalesLens
Led comprehensive analysis of Walmart sales data, extracting insights on top-performing products, sales trends, and customer behavior.
Entrepreneurial Ventures.
Building products and platforms from the ground up, driving real-world impact in the EdTech and Creator economy spaces.
Mentor Hive
A zero-commission infrastructure platform for creators, mentors, and educators.
The Problem: Many small creators and mentors have the knowledge and audience, but lack the proper infrastructure to monetize or showcase themselves professionally. Existing platforms charge high commissions, require upfront payments, or offer complex experiences.
The Solution: We are building a platform where creators can build their profile, showcase sessions, manage communities, and share resources—all without upfront costs. Our vision is to help small creators grow like big creators.
Eklavya School
Launched an advanced research and technology school aiming to bridge the gap in technical education.
VidyaKul 2.O
Started an offline coaching venture dedicated to providing high-quality foundational education.
Technical Arsenal.
A comprehensive toolkit spanning foundational languages to advanced AI frameworks and scalable deployment architectures.
Research Internships
Publications
Students Mentored
Hackathons Won
Notable Honors & Rankings
- »AIR 1114 in GATE Data Science and Artificial Intelligence 2025.
- »Rank 4 in Code Heat Coding Contest by CodeChef ZHCET. Top 0.5% coder at Coding Ninjas Studio (Rating 2700+).
- »5 Star in C++ at HackerRank, Rating 1620+ at CodeChef, and Rating 1530+ at Leetcode.
- »100% Scholarship and Rank 1 in Agra Baluni Spardha Test (2019, 2020).