London Area, United Kingdom
AI leader with 13+ years of global experience in enterprise technology, AI, and data science, delivering impactful solutions across Finance, Telecom, Retail, ERP/CRM, Insurance, and Supply Chain. Currently, as Vice President - AI Products, Strategy & Applied Research at Citi, I lead enterprise AI initiatives that combine GenAI, Agentic AI, and hybrid AI systems with real-world business outcomes. I drive AI product strategy, applied research, and platform development, translating research into scalable, production-ready solutions that deliver measurable value across global organizations. Previously, I contributed to AI strategy and advanced analytics at Accenture, product building at IBM, and Odoo, leading cross-functional teams and designing solutions in machine learning, NLP, computer vision, and predictive analytics for complex enterprise challenges. I am a co-inventor on an organization-filed patent application (pending), reflecting my commitment to innovative, defensible AI systems. I also mentor senior engineers and managers, cultivating future AI leaders while building high-performing, cross-functional teams. Core Expertise: - AI Product Strategy & Enterprise AI Platforms - Executive Stakeholder Management & Roadmap Planning - GenAI, Agentic AI & Multi-Agent Systems - LLMs, NLP, RAG, ML/DL Models - Applied Research, AI Innovation & Automation - AI Governance, Responsible AI & Risk Management Technical Stack: - LLM Orchestration & Agentic AI: LangChain, LangGraph, Haystack, Semantic Kernel - Autonomous Agent Prototypes: AutoGPT, SuperAGI - Knowledge & Retrieval (RAG & Memory): LlamaIndex, ChromaDB / FAISS - Core Programming & Cloud Platforms: Python, NLP, TensorFlow, PyTorch, Scikit-learn, SpaCy, Hugging Face Transformers, Pandas, NumPy, AWS (SageMaker, Lambda, S3), PostgreSQL, MongoDB Continuous Learning & Certifications: - Agentic AI - LinkedIn - AI Agents for Product Leaders - DeepLearning.AI - Deep Learning & Generative AI Specializations - IIT Kharagpur - Introduction to Machine Learning (NPTEL) - Microsoft Certified - Predictive Analytics with Spark - Active participation in AI research, industry conferences, and emerging technology trends I thrive at the intersection of AI innovation, product strategy, and enterprise leadership, building future-ready AI capabilities that drive measurable business outcomes and long-term competitive advantage.
- Define and lead enterprise AI product strategy and long-term roadmap - Drive GenAI, Agentic AI, and multi-agent system initiatives from research to production - Partner with executive leadership on AI portfolio expansion, governance, and platform strategy - Build scalable, responsible AI systems aligned with business outcomes and risk frameworks - Co-inventor on an organization-filed patent application (pending) - Mentor senior engineers and product leaders, developing future AI leadership capability
- Delivered AI/ML/NLP solutions for enterprise-scale finance and analytics use cases - Built and deployed LLM, RAG, NLP, ML/DL models for automation and decision support - Led cross-functional initiatives across AI research, data strategy, and governance - Developed scalable pipelines using Python, GenAI, TensorFlow, PyTorch, AWS, PostgreSQL, MongoDB
Main Goal of this project is to provide an insurance facility to end users. Users can online fill-up the form, pay premium amount, and claim for insurance etc. In this project back-end and admin site development using Python, Django, MySQL, Redis technologies. Enhancing admin module, adding new features and functionality in the LMS (Lead Management System) application for Call Center Agents. So, Agents can flexibly use our system and they can identify all leads with priorities, automated SMS and Email Functionality, Calling Functionality to solve the end user issues and complete process. Enhancing admin module, adding new features and functionality in the EMERGE (After Payment) application for Call Center Agents. So, Agents can follow up customers for premium policies, medical, discrepancy raised related issues. Automated SMS and Email Functionality, Calling Functionality to solve the end user issues.
R&D Team Member and Migration Team Member @ OpenERP I was involved in development of Odoo V7. In R&D, Worked on UI, Security, Access Rights, Domain, Filters, Workflow, Business logic related task developed using python. Developed and design many reports. Writing script for core modules in different versions.(v6.1, v7, v8). Fixed technical and functional issue related to Odoo modules. Good interaction and communication with client for any kind of support.
Email Marketing Module main purpose is to automate the process of qualifying leads out of customers, send response (in the form of emails) based upon criteria, and perform activities at regular time intervals. The emails once created can be saved as templates and be re-used later. The process too can be saved in the form of campaign and run on different segments. The activities can be reviewed and managed as required.