Sahil
Undergraduate from Indian Institute of Technology Bombay
About
An undergraduate student from IIT Bombay exploring the intersection of startups, product, AI, and problem solving. Over the last few years, I’ve worked across research labs, manufacturing, product growth, and entrepreneurship, from building a mycelium based sustainable materials startup backed by IIT Bombay to creating AI workflows and product experiments for fast-moving startups. Enjoy solving messy problems, building from 0 to 1, and working in environments where curiosity matters more than job titles.
Experience
CEO’s Office
CurrentTBX(Transbnk)
Jun 2026 – Present
Awarded a PPO based on exceptional performance & ownership of cross functional automation project. Architected a scalable Enterprise Billing Platform, streamlining 100+ client billing workflow. Standardized 200 client specific billing rules into a centralized billing automation framework. Reduced monthly billing time by 90% and manual effort from 8+ hours to under 10 minutes. Eliminated revenue leakage risks by billing validation & ensuring 100% transaction coverage.
Founder
Alt Matter
Jan 2025
Building a sustainable future by developing Mycelium-based living solutions as an alternative to plastics. Secured an incubation grant of INR 0.5 Mil from D.S.S.E. IITB, registering as domain of Virevo Solutions. Validated market insights from 300+ user surveys & 30+ interviews, shaping product roadmap & G.T.M. Awarded dedicated lab space under IIT Bombay B.S.B.E. Dept. for advanced R&D & created a prototype.
Product Intern
Internship
Projects
American Express Data Science Track
Designed and implemented an end to end Click-Through Rate (CTR) Amex prediction model from scratch. Processed over 7M+ user interaction records, and extracted patterns to enhance ad targeting strategies. Achieved 12% lift in MAP by training 300 parameters on XGBoost model using hyperparameter tuning.
XGBoostPythonMeesho Dice Challenge
Chosen as one of the top 7 teams (50+) from IIT Bombay for the pen-ultimate stage for the competition. Built a scalable model to onboard 2.75Cr non-GST sellers that unlocked a total of ₹3,500+ Cr in revenue. Drove 10x growth potential in Tier2/3 markets by deploying AI tools & WhatsApp based GTM strategies.
AIWiDS IIT Bombay
Developed credit card fraud detection model by dimensionality reduction and classification algorithms. Achieved results using Logistic Regression by attaining an accuracy of 96.2% and a high F1-score of 0.95. Recommended efficiency measures via supplier consolidation, part standardization, & asset liquidation.
Logistic Regression
Education
IIT Bombay
Bachelors of Technology, Chemical Engineering
Jan 2026
Skills
Accomplishments
1st: Halloween Championship
Amongst 10 hostels
1st: Sustainability Hackathon
HILTI
3rd: Treasure Hunt Competition
From 50+ teams