Solving problems I live in. Zero to one. And that's why I co-founded Hapticware.
Founder and CEO at Hapticware, building AI systems that solve real business problems. I focus on the full stack: from AI research and product strategy to GTM and scaling.
Previously co-founded GRCO Consulting, where I led AI/ML architecture for enterprise clients. I'm interested in problems where better algorithms directly unlock value and improve business outcomes.
Smart India Hackathon winner. Recipient of the Charpak Exchange Scholarship from the French Government.
Handling the technical architecture, core development, and business direction. Managing the intersection of product and strategy from the ground up. Hapticware was legally incorporated in May 2025; before that, I was experimenting with the industry while doing consultancy.
Technical co-founder. Focused on building and shipping AI-driven financial workflows and custom AI/ML models for clients. Handled the architecture and dev side of the house during the early AI days, before it was a buzzword, while handling university.
Part of the core team. Worked on the sponsorships, finance, and logistics side of things for the 2020 event.
Did this right after 12th grade. Managed to get the main site onto Google’s first page for a few key industry terms. Mostly involved technical audits, keyword research, and cleaning up metadata to fix organic reach.
Grade: 12
Grade: 10
Contributed core functionality to Pipecat, an open-source framework for building real-time AI systems. Enhanced the framework with features that improve developer experience and system reliability.
Data-engineered a solution using 20+ Valorant metrics to optimize team composition and IGL placement.
Built a Streamlit-based platform integrating OpenAI's GPT-4 and ChromaDB to enable businesses to interact with documents using AI. Key features include real-time Q&A with document collections, PDF-to-structured-data conversion with MongoDB, and a financial intelligence dashboard for insights from quarterly reports. Integrated PDF processing, semantic search, and data visualization tools (Plotly) to enhance user experience.
Built a Raspberry Pi-integrated system using color and environmental sensors to calculate NPK nutrient ratios in real-time. Developed for the Google Solution Challenge 2024.
Developed a multi-functional platform using Streamlit, Plotly, and machine learning tools to analyze global CO₂ emissions data. Key features include an analytics dashboard for emissions trends, a geographic visualization of CO₂ levels, future emissions predictions, and industrial impact analysis by country. Integrated KNN Imputation for data preprocessing and advanced AI models for conversational insights. Designed for dynamic data exploration, interactive visualizations, and environmental impact analysis.
Engineered a demand-feasibility model for Tier-2 Indian cities using DGCA data. Runner-up out of 1,500+ teams. Developed for the Rolls Royce R² Data Labs Responsible Growth Hack 2023.
ML-based model for ground protection missile placement. Achieved 100% success rate across 500+ test runs. Project was halted/acquired due to data sensitivity.
Core contributor to Pipecat, an open-source framework for building real-time AI systems.
Part of the runner-up team in the Rolls Royce Data Labs Responsible Growth Hack.
Developed an animated video resolution upscaling algorithm.
Charpak Exchange Scholarship and French Government Scholarship recipient.
Developed an ML solution for a defense-based problem statement, achieving 95% accuracy.