Santanu G.

Key Skills

Software

No software listed

Top Subject Matter

Enterprise AI enablement (LLM/RAG/agentic systems)

Enterprise LLM/agent training & enablement (RAG, agentic AI)

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

Enterprise AI Architect – Senior Manager | Capgemini (AI/GenAI training & enablement). Brings 21+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy (Integrated), University of Engineering & Management (UEM), Kolkata (2025) and Master of Business Administration (Distance), Sikkim Manipal University (2015). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Text Ge

Labeling Experience

Enterprise AI Architect - Consultant | Tata Consultancy Service (TCS) (AI training & enablement)

Text Generation

Delivered enterprise AI/GenAI training sessions while also architecting conversational virtual agents and agentic solutions that demonstrate LLM capabilities end-to-end. Covered practical enablement topics including RAG workflows, multi-turn assistant design, and agentic orchestration for real-world use cases. Included live demos and coaching to help enterprise teams adopt LLM/agent solutions responsibly. • Delivered AI/GenAI training for enterprise teams across IT, operations, and business functions. • Guided teams on LangChain and LangGraph agentic workflows and governance. • Architected multi-turn conversational virtual agent using RAG and Mistral NIM components. • Led architecture governance and workshops for multi-country stakeholder groups.

2023 - Present

Enterprise AI Architect – Senior Manager | Capgemini (AI/GenAI training & enablement)

Prompt + Response Writing (SFT)

Served as an AI enablement leader by building and guiding multi-agent and RAG-based AI assistant systems used within enterprise workflows. Focused on operationalizing LLM copilots and assistive capabilities rather than manual annotation. Supported teams with AI/ML adoption activities that translate model behavior into practical business and engineering outcomes. • Enabled teams on AI-driven transformation initiatives and predictive/automation adoption. • Introduced AI/ML concepts into enterprise architecture workflows. • Built RAG assistants for billing and service management contexts. • Designed AI copilots for SDLC productivity improvement.

2021 - 2023

Education

Work History