Highly motivated and results-oriented AI/ML leader with 10+ years of experience driving business transformation through strategic implementation of AI solutions in the NBFC sector. Proven ability to manage and optimize AI/ML workloads on cloud platforms (AWS, Azure) for maximum efficiency and impact. Expertise in generating and operationalizing AI use cases focused on Traditional and Generative AI applications, while utilizing a KPI-driven approach to ensure measurable success.
Years: 2019 – Present
About: Orchestrated a 4-member team to spearhead end-to-end analytics solutions, crafting Delivery Lead Time Prediction and Vendor Score Card Model for a cognitive procurement software. • Implemented an analytical solution to predict the highest bid price of a scrap product auction to increase. the year-on-year revenue by 5%. • Designed and prepared an analytical solution for strategic improvement of sales of tailings (coal by- product) resulting in sales upliftment of 20cr (5.6%).
Years: 2021 – 2021
About: Conceptualized the implementation of BrewRIGHT's award-winning fraud detection technology, recognized by NASSCOM, Financial Times, American Lawyer, New York Law Journal, and Harvard Business School for revolutionizing risk management. • Directed the ML development activity for 10+ high-accuracy fraud detection ML models (Supervised) with more than 2.5TB of data. • Founded an analytics innovation wing. Pioneered in building MLOps, Feature Store (50+ Fraud Indicator) & CI/CD across the organization. • Managed, cultivated & facilitated a team of 6 talented Data Scientists.
Years: 2023 – 2023
About: Transformed the strategic design and rollout of MLOps architecture, orchestrated deployment of 50+ ML models on AWS Sagemaker and Databricks, 40+ Microservices on ECS-Docker; enhanced credit risk, collection, and customer service models, boosting business outcomes significantly, promoting responsible AI practices. • Headed the creation of a feature store with 2000+ features, optimizing real-time (sub 3 sec latency) and batch delivery for efficient processing of 30,000+ daily credit report hits. • Pioneered the development of an automated ML Model/Service deployment pipeline incorporating CI/CD and proprietary logging infrastructure, significantly advancing MLOps maturity to level 3.6 out of 5 on the Microsoft maturity scale. • Engineered a sales performance Chatbot powered by Azure OpenAI, handling 40k+ queries from 5k users, leveraging technologies such as Knowledge Graph, Dynamic Few Shots, and Prompt Engineering, with data generated from tabular sources. • Spearheaded an organizational Gen AI stack utilizing advanced technologies, including RAG, Vector DB, Prompt Engineering, and Knowledge Graph. • Coached 17-person MLOps and AIOps development team, mentoring them for career growth and peak performance.
