Ayushi Bansal is a founder and data scientist with 11 years of experience and a 7-year focus on applied machine learning, computer vision, and NLP to solve real-world fintech and automation problems. She co-founded Qubitrics, where she built invoice extraction (LayoutLM/CNN) and reconciliation systems now used by 500+ CAs and MSMEs, and led projects that reduced manual processing from hours to minutes. At TERA Finlabs she developed fraud-detection and residence-stability models that materially cut default and verification costs, and she has productionized credit-risk models and parsing pipelines across multiple lenders. Comfortable across the stack, she combines backend engineering (FastAPI, Docker, GCP/AWS) with hands-on ML deployment and product design informed by direct customer discovery. Now leading a stealth AI startup out of New Delhi, she blends entrepreneurial grit with a track record of shipping models that move businesses from prototypes to cost-saving production. A sport programmer at heart, she pairs competitive problem-solving with pragmatic engineering to rapidly iterate on impactful ML products.
11 years of coding experience
9 years of employment as a software developer
Machine Learning Specialization - Imperial College London Mathematics and Computer Science, Machine Learning Specialization - Imperial College London Mathematics and Computer Science at Coursera
Full Stack Web Development Certification Full Stack Web Developer, Full Stack Web Development Certification Full Stack Web Developer at freeCodeCamp
Regular Two Year Programme Physics Chemistry Mathematics, Regular Two Year Programme Physics Chemistry Mathematics at FIITJEE
High School Non Medical , High School Non Medical at Sanatan Dharam Public School
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Guru Gobind Singh Indraprastha University
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