Bibhushan

About Bibhushan

I design AI systems that help organizations make complex decisions at scale.Over the past 18+ years, I’ve worked at the intersection of data science, optimization, and decision intelligence, building production systems across aviation, energy, telecommunications, and global supply chains. My work focuses on translating ambiguous business problems into deployable AI architectures that combine machine learning, mathematical optimization, and increasingly, foundation models.At IBM Consulting, I currently lead data science initiatives and manage a team of data scientists delivering enterprise AI solutions. My work spans forecasting platforms, operational optimization, anomaly detection, and emerging generative AI applications for specialized business domains.What I specialize in - Designing end-to-end decision intelligence systems - Architecting scalable forecasting and optimization platforms - Applying GenAI and foundation models to enterprise workflows - Solving high-ambiguity operational problems using AI - Mentoring data scientists and shaping technical directionA recurring theme in my career has been building systems that move beyond prediction toward actionable decision-making. Many of the solutions I’ve led integrate ML, optimization, and domain knowledge to support planning, scheduling, and resource allocation in real-world environments.I’m particularly interested in- AI systems that augment human decision-making - Hybrid ML + optimization architectures - Domain-adapted foundation models - Large-scale operational intelligenceBefore IBM, I worked in product and consulting roles at Antuit and JDA (now Blue Yonder), contributing to enterprise supply chain optimization platforms used globally.I hold a Ph.D. in Industrial Engineering from IIT Delhi, where my research focused on optimization and decision systems.

Experience

1. Group Manager

   IBM

   Nov 2022 — Present · Bengaluru, IN

   Leading a team of data scientists specializing in Foundation Models, Advanced Analytics, and Machine Learning.• Recruiting top talent, managed team performance, and drove innovation in data-driven solutions.• Implementing strategies to optimize machine learning algorithms, resulting in enhanced efficiency and accuracy for projects.

Education

• Kendriya Vidyalaya

  10+2, Science

  1985 — 1997

• Indian Institute of Technology, Delhi

  M.Tech., Industrial Engineering

  2001 — 2002

• Delhi College of Engineering

  B.E., Production and Industrial Engineering

  1997 — 2001

• Indian Institute of Technology, Delhi

  Ph.D., Industrial Engineering

  2003 — 2009

Skills

• Application Optimisation
• Supply Chain
• Supply Chain Optimization
• Supply Chain Management
• Spss
• Supply Chain Strategist
• Enterprise Resource Planning (Erp)
• Machine Learning
• Discrete Event Simulation
• Cplex
• Optimization
• Product Management
• Object-Oriented Programming (Oop)
• Supply Chain Consulting
• Training
• Business Process
• Inventory Management
• Operations Research
• Data Analysis
• Simulations
• R
• Java
• Demand Forecasting
• Demand Planning
• Management
• Inventory Optimization
• Team Management
• Visual Basic for Applications (Vba)
• Network Optimization
• Life Skills
• Business Intelligence
• Analytics
• Business Analysis
• Business Strategy
• Software Project Management
• Vba
• Python
• Tableau
• Data Modeling
• Leadership