Exploring the intersection ofAI, Finance & Entrepreneurship
With a strong foundation in AI/ML research, software development, and fintech, I thrive on solving real-world challenges through technology and innovation.
My Background
1.5+ years of internship experience across 4+ companies in AI, ML, data science, quant finance, and full-stack development, building systems that served 2M+ users, processed $10M+ in financial datasets, and sustained 95% uptime under 10K+ concurrent users.
Featured Projects:
- →QuantIQ India (live NSE equity platform, 6-tab analysis, streaming AI research agent)
- →Monte Carlo Portfolio Simulator (10,000+ paths, 40% faster risk insights)
- →AutoRFP (5-agent autonomous procurement pipeline, live CME/BLS pricing, ML forecasting)
- →NutriCam (iOS app with Gemini and custom YOLOv8, App Store testing phase)
- →Generative model research (96% precision under a Microsoft Senior Director)
Served as Advisor and Lead for Microsoft Learn Student Ambassador, Google Developer Groups, and Perplexity Campus Partner. Mentored 750+ students and volunteered with Smile Foundation. Competed and placed in 3x hackathons across 2,500+ participants.
Technical Expertise
Languages & Databases
AI, ML & Data Science
Frameworks & Libraries
Cloud, DevOps & Tools
Finance & Analytics
Product & Methodologies
Professional Journey
Software Engineer Intern
Dec 2025 - Present
BetterCampus · New York, United States
- Improved Chrome and Firefox extension stability for 2M+ students by fixing responsive layouts, dark mode, and interactions using React, TypeScript, and Tailwind CSS, reducing UI regressions across 10+ core surfaces
- Increased planner and navigation engagement for 2M+ active users by building 5+ reusable React components with state management and CSS animations, accelerating feature rollout and improving discoverability
- Enabled AI-powered Study workflows by implementing a Canvas API integration in TypeScript, handling pagination, permissions, and errors to reliably ingest 100+ files per class while preserving 8+ metadata fields
McKinsey Forward Program
Apr 2025 - Aug 2025
McKinsey & Company United States (Remote)
- Collaborated with a global cohort to develop an AI-driven financial risk analysis tool using Python, AWS Lambda, and DynamoDB, improving forecast accuracy by 12% on $10M+ SME financial datasets
- Enhanced team efficiency by 20% by applying machine learning models, AWS cloud services, and Agile methodologies to optimize financial data workflows and collaborative resolution of technical challenges
Research Assistant
Apr 2025 - Present
NYU Stern School of Business New York, NY
- Engineered an iOS app powered by AI/ML APIs with a Flask, achieving 90% accuracy in sub-2-second meal analysis
- Architected a MongoDB-backed system with robust API integration, sustaining 95% uptime for 10K+ concurrent users
Teaching and Research Assistant
Dec 2021 - Jun 2024
SRM's Directorate of Learning and Development · Chennai, India
- Developed an AI grading tool for 8,000+ student submissions with BERT and BM25, achieving 98.1% accuracy and boosting efficiency
- Created a mathematical model for testing validity, implemented as a parallel entity to traditional evaluations
- Introduced as a supplementary evaluation tool to enhance accuracy and scalability for evaluating large volumes of papers
- Ranked 1st out of 2,800+ students in both C Programming and Object Oriented Programming
Web Designing and Software Development Intern
Apr 2023 - Aug 2023
Launchr Tech Delhi, India (Remote)
- Transformed and maintained client websites; guided SaaS tools for e-commerce with SEO and AI features
- Automated feature selection process for ML models, reducing model training time by 30% and increased traffic by 20%
Industrial Research Mentorship
Mar 2023 - May 2023
Microsoft Redmond, WA (Remote)
- Conducted Generative AI research on GLIDE model under Senior Director, achieving 96% precision in image generation
- Designed and optimized cGAN models, improving image diversity 30% through feedback and training over 80k steps
- Enhanced generative model reliability by 25%, ensuring ethical generative art with high-fidelity outputs
Software Development Intern
Nov 2022 - Apr 2023
VCOM Technologies PVT LTD Mumbai, India
- Developed AI-based SD-WAN optimizer using Python and Logistic Regression to improve routing and latency
- Built WAN analytics tools with Flask and Pandas, reducing transmission costs by 15%
- Integrated real-time anomaly detection via Decision Trees, deployed with Docker on AWS, cutting downtime 18%
Machine Learning Research Team Member
Jan 2022 - Mar 2022
Blackbox Singapore (Remote)
- Crafted Bayesian cross-validation models using Python, PyMC3, and NumPy to enhance predictions
- Optimized model selection with BIC and posterior checks, cutting interpretation errors by 15%
- Improved accuracy to 80.83% with 10-fold cross-validation using scikit-learn, ensuring consistency
Academic Background
Featured Work
NutriCam
App StoreAI-Powered Nutrition Tracker
iOS app with Google Gemini and custom YOLOv8 for real-time food recognition. Live on App Store.
AutoRFP
Procurement Automation Platform
Full procurement automation with Next.js, Groq LLaMA 3.3 70B, 5-agent SSE negotiation pipeline, and ML price forecasting with CME/BLS data.
Monte Carlo Simulator
Portfolio Risk Analysis
10,000+ return paths simulation with Sharpe ratio, VaR, and volatility calculations. 40% faster risk insights.
QuantIQ India
Indian Equity Analysis Platform
Full NSE analysis with live market data, 6 technical indicators, 3-source fallback chain, and Groq LLaMA 3.3 70B agentic research pipeline.
Risk Dashboard
Quantitative Risk Metrics
Real-time VaR, stress tests, and correlation analytics dashboard. 40% faster risk insights.
Self-Driving CV
Computer Vision for Autonomous Vehicles
Road segmentation, object detection, and tracking achieving 80% autonomous capability.
pix2pix GANs
Image-to-Image Translation
Conditional GAN with 90%+ accuracy under Microsoft Senior Director mentorship. 96% precision.
Bayesian ML
Cross Validation Classifier
Gaussian Naive Bayes with Bayesian validation achieving 80.83% accuracy on income prediction.
NLP Autograder
PrivateAI Answer Evaluation System
BERT and BM25 NLP autograder scoring 8,000+ papers with 98.1% accuracy across 80,000+ submissions.
Additional Information
Get In Touch
Interested in collaborating or have a project in mind? Feel free to reach out through any of the channels below or use the contact form.
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