Shubham Anand
An enterprise AI professional with four years of experience, this individual focuses on end-to-end strategy and roadmaps for GenAI-powered platforms. They have led comprehensive go-to-market programs and directed cross-functional teams to consistently deliver projects ahead of schedule. Their work centers on integrating AI capabilities that measurably improve operational efficiency and revenue.
Work Experience:
4 Years 10 Months Years
Industry:
IT & Systems Management, Product Management, R&D, Software Engineering
Function:
Technology | Consulting
Associate Product Manager – DigiBOLT AI
Tata Consultancy Services | Aug 2024 – Present
- Own the full product vision and 12-month roadmap for DigiBOLT—a GenAI-enabled low-code platform—translating quarterly OKRs into actual shipped features with engineering and design teams
- Drove the complete go-to-market program for the India-centric launch under Accelerate India initiative, from market research through launch execution, ensuring on-time delivery and cross-stakeholder alignment
- Direct a 10-person cross-functional squad; pushed the last major release two weeks ahead of plan, which unlocked early revenue and expanded adoption across three separate business units
- Developed an AI based Orchestration Layer for pluggable micro-service that tangibly streamlined enterprise AI operations and operational throughput
- Carved out the AI product roadmap grounded in competitive analysis and real-time market sentiment, positioning the platform as a legitimate contender in the AI-powered low-code space
AI Developer (Artificial Intelligence Engineer)
Tata Consultancy Services | Mar 2021 – Aug 2024
- Built and deployed production-grade ML pipelines—Transformers, CNNs, LLMs—that actually powered DigiGOV and allied solutions in live customer environments
- Implemented an automated invoice-extraction engine using Transformer architecture that killed manual data entry and markedly improved capture accuracy
- Created a CNN solution to redact biometric and UID regions in identity documents, hitting 97%+ masking accuracy and ensuring compliance with privacy regulations
- Launched a knowledge-base-driven chatbot by integrating an LLM, which elevated customer self-service rates and improved first-contact resolution
- Optimized AI algorithms for speed and resource efficiency; collaborated with DevOps to containerize models with Docker for on-premises deployment, and trained fingerprint classification models that jumped accuracy from 85% to 98%—a 13-point lift that strengthened security workflows
1. Recipient of the "AI Impact Leader Award" for delivering production-grade AI solutions that drove measurable operational efficiency and revenue growth across enterprise platforms.
2. Winner of AI Fridays Regionals Hackathon at TCS Garima Park, Ahmedabad, for developing an innovative AI solution under competitive time constraints.
3. Awarded "Special Initiative Award" for successfully orchestrating end-to-end product launches, ensuring stakeholder alignment and on-time market delivery of TCS offerings.
- Master of Business Administration (MBA), Indian Institute of Management Ahmedabad | 2024 – 2026
- Bachelor of Engineering – Computer Engineering, Gujarat Technological University | 2016 – 2020
1. Generative AI (Google Cloud Platform), 2023
2. Accelerated Deep Learning with GPU (IBM), 2020
3. Data Science with Python (IBM), 2020
1. Core member of the Brand Team for college fest, responsible for strategic positioning and visibility campaigns that drove student engagement and event footfall.
2. Chief of Sponsorship Team—led outreach and negotiation efforts that secured record sponsorship commitments, significantly expanding the fest's scale and programming capacity.