Kaushik Deb
EnglishAsia/Kolkata Asia/Kolkata
About
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.
Skills & Expertise
Work Experience
Associate Director- AI Engineering
Piramal Capital & Housing Finance Limited
Financial Services
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.\r\n• 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.\r\n• 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.\r\n• 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.\r\n• Spearheaded an organizational Gen AI stack utilizing advanced technologies, including RAG, Vector DB, Prompt Engineering, and Knowledge Graph.\r\n• Coached 17-person MLOps and AIOps development team, mentoring them for career growth and peak performance.
Analytics Manager- Compliance Analytics
AB InBev India
Beverage & Brewing, FMCG
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.\r\n• Directed the ML development activity for 10+ high-accuracy fraud detection ML models (Supervised) with more than 2.5TB of data.\r\n• Founded an analytics innovation wing. Pioneered in building MLOps, Feature Store (50+ Fraud Indicator) & CI/CD across the organization. \r\n• Managed, cultivated & facilitated a team of 6 talented Data Scientists.
Senior Data Scientist
Tata Insights and Quants
Advanced Analytics and Data Engineering
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.\r\n• Implemented an analytical solution to predict the highest bid price of a scrap product auction to increase. the year-on-year revenue by 5%.\r\n• Designed and prepared an analytical solution for strategic improvement of sales of tailings (coal by- product) resulting in sales upliftment of 20cr (5.6%).
