Innovative engineering leader with over 20+ years of experience in driving globally distributed, cross-technology AI and Data engineering teams to deliver large-scale AI/ML, and data-driven products and platforms to serve billions of users worldwide.
Widely recognized for exemplary leadership, technical and strategic acumen and promoting continuous learning culture in the organization while fostering collaboration with internal/external partners.
• Core competencies
o AI and Data Transformation
Vision and Strategy – Collaborate with CTO org for formulating the vision and the strategy across the company
Roadmap – Collaborate with all BUs Product leaders for finalizing the roadmap to align with the vision and the strategy
Execution – Collaborate with all BUs R&D leaders for integrating AI and Data natively within their products as per the roadmap
o AI-Native Product building with traditional AI/ML
Supervised, AI-Native Product building Unsupervised, Regression, Classification, Clustering
Deep Learning (DL), Reinforcement Learning (RL), Time Series
Conversational AI/NLP (Chat/Voice bots) and Computer Vision
Recommendation Systems (Collaborative and Profile based)
o AI-Native Product building with Generative AI
LLMs - Prompt Engineering, Custom Domain GPTs with Fine Tuning (PEFT, Q-LORA) and Reasoning (RL GRPO)
RAG with Vector Stores and Knowledge Graph
Autonomous/Agentic (multi-Agent)
o AI-Native Platform building for operationalization of AI
ML Ops (Model Lifecycle, Serving, Monitoring and Level 4 CT-CD)
Gen AI Ops (Guardrails, Evaluation, Bias, Security)
Agent Ops (Orchestration, Frameworks, Monitoring, Security)
o Generative AI for productivity improvement across the company – Coding, Documentation, RFP/Bid Proposals, and Automation.
o Data-driven Product and Platform building - OLTP, OLAP, Operational, Real Time, Streaming, Batch Analytics, Warehouses, Fabric and Lakes.
o Establishing Practice/Team for Data and AI Execution comprising of Data Scientists, Data Analysts, Data Engineers, ML Engineers, Software Engineers, UI Engineers, Architects and Leaders (Managers, Directors, VPs).
o Partner Engagement for Data and AI Platforms/Stacks management.
Heading globally distributed cross technology AI/Data Science practice, Data Analytics and Data Engineering R&D Organization for building huge scale AI/ML and data-driven products/platforms to serve 2.5B+ users.
Responsibilities:
• Collaborate with CTO to formulate AI strategy for AI transformation across the company – monetization, optimization and productivity enhancement.
• Lead Data and AI transformation across the company, covering 100+ customers, 50+ products, millions of transactions per second, and 100+ petabytes of storage bringing in cumulative revenue of $300M+ while serving billions of users.
• Spearhead development of innovative Data/AI products and platforms
o Award-winning cutting-edge “Network Intelligence as a Service” (NIaaS) for operational efficiency and recommendations (RL).
o RAN Intelligent Controller and Network Data Analytics Function products for Network optimization improving major KPIs by 40%+.
o Edge AI products (Intelligent Video Analytics, IIoT) for Industry 4.0.
o Highly scalable Data and AI platforms (DBaaS, MLOPs, Gen AI Ops, and Agent Ops – under development) for fast tracking operationalization across 100+ customers.
• Engage and collaborate with internal and external partners for end to end delivery.
• Coach and mentor a high-performance team of Data and AI leaders.