Jitendra Maan
Head, Artificial Intelligence and GenAI, Growth Markets @ Tata Consultancy Services Ltd.
- Role
- Head, Artificial Intelligence and Cognitive Experience at Tata Consultancy Services
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Jitendra Maan
A versatile and results-oriented techno-functional AI leader and Enterprise Architect with over 26+ years of industry experience spearheading digital transformation, AI Strategy and AI technology enablement across multiple industries, including software, electronics, computer platform, professional services, healthcare, media, insurance and financial services. A technology evangelist, recognised thought leader, accomplished enterprise architect and frequent Industry speaker having specializing in driving AI/ML, Deep learning, Generative AI and Agentic AI Frameworks along with strategic insights on other emerging platforms and tools- Driving digital technology enablement and IT transformations initiatives across various professional services and software companies- Leading Artificial Intelligence, Machine Learning, Mobile & Computing technologies for global distributed clients. A thought leader, enterprise architect, technology consultant, seasonal vibrant speaker and member of many professional bodies- Won multi-million opportunities, added new logos and influence additional revenue through medium-large transformation programs and shared services support- Provided strategic direction and technical leadership to teams, driving the successful implementation of multi-agent generative AI applications. Facilitated the adoption of agentic AI frameworks (CrewAI, LangChain, LangGraph, Vertex AI, AgentiveHub ) with Retrieval Augmented Generation (RAG) pipelines, diverse LLMs (Gemini, LLaMa, Claude, Open AI GPT etc.), and, integrating FAISS vector DBs for vector search and Case Management tools (ServiceNow, Scribd) which resulted in enhanced knowledge retrieval, streamlined operations, and improved decision-making- Provided advisory services on AI governance and responsible AI frameworks addressing ethical concerns using responsible AI guardrails/best practices (i.e. Adversarial Neural Networks for model fairness, transparency and interpretability)- Took end to end ownership for development/enhancement of various platform IP solutions like Merger and Acquisition (M&A) platform, Cognitive Redactor and Global Demand Visibility.
Experience
Head, Artificial Intelligence and Cognitive Experience
Dec 2016 — Present · Gurugram, IN
a. Provided strategic direction and technical leadership to teams, driving the successful implementation of multi-agent generative AI applications. Facilitated the adoption of agentic AI frameworks (CrewAI, LangChain, LangGraph, Vertex AI, AgentiveHub ) with Retrieval Augmented Generation (RAG) pipelines, diverse LLMs (Gemini, LLaMa, Claude, Open AI GPT etc.), and, integrating FAISS vector DBs for vector search and Case Management tools (ServiceNow, Scribd) which resulted in enhanced knowledge retrieval, streamlined operations, and improved decision-making.b. Drive development of AI-powered Conversational agents and Intelligent Virtual assistants (IVAs) using industry leading Cognitive AI platforms, like Google Vertex AI and Dialog flow, IBM Watson on Bluemix Cloud, Amazon Lex, Amazon Poly, Microsoft Azure AI Bot, LUIS and Cognitive services with specialized APIs for tasks like text-to-speech, speech-to-text, sentiment & emotions, content moderation and summarization thereby deploying on cloud platforms - Groq Cloud, Google GCP, IBM Bluemix Cloud and AWS Cloud services. c. Pioneered AI-driven self-help, self-service automation for various use cases including Contact Centre/Service support, printer loyalty, Product Purchase Advisory, Assembly-to-Order (ATO) status tracking, HR payroll assistance, Sales Annuity and Renewal Assistant (SARA), CogniSearch, a virtual assistant for candidate profile search, job matching and interview scheduling and so on.d. Spearhead AI innovation across business and IT functions, driving successful implementation of AI use cases by leveraging both, supervised and unsupervised machine learning models, neural networks (RNNs, LSTMs, CNNs), deep learning frameworks (TensorFlow, Hugging Face Transformers), Foundational LLMs, RAG, NLP models, Vector DBs and Agentic AI frameworks - LangChain, Vertex AI Agents, Agentive Hub etc.
Education
Indian Institute of Technology, Delhi
M.Tech, Management and Systems
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