Shashank Srivastava

About Shashank Srivastava

I currently work as AVP – AI/ML/Gen AI, Market Intelligence & Digital Transformation at Siemens Energy, where I lead enterprise initiatives focused on AI strategy, Generative AI adoption, and intelligent decision platforms for the energy sector. My work includes building AI and RAG-based intelligence systems for market analysis and procurement insights, developing predictive and anomaly detection models for critical SCADA and industrial control environments, and driving digital twin enabled platforms to improve infrastructure resilience, reliability, and operational foresight. A key part of my role is ensuring that AI and Generative AI solutions are secure, explainable, regulation-compliant, and aligned with measurable business outcomes.Before moving into AI and digital transformation, I built a strong foundation in the power and infrastructure domain, working with organizations such as MEIL, KEI, IL & FS, and Datamatics. During this phase, I was involved in transmission and substation projects, planning and execution, system studies, vendor and contractor coordination, and delivery across complex EPC and utility environments. This experience gave me deep exposure to grid operations, SCADA systems, regulatory processes, and large-scale infrastructure programs, shaping a practical understanding of risk, reliability, and system-level decision-making.Over the years, I have intentionally transitioned into AI, Generative AI, and RAG-driven enterprise platforms, combining domain expertise with data, analytics, and intelligent automation. Across programs valued at ₹2,600 Cr+, my work has contributed to outcomes such as an 18% improvement in smart grid efficiency, a 22% reduction in demand–supply mismatch through predictive forecasting, and a 25% increase in renewable energy procurement enabled by AI-driven sustainability and ESG intelligence platforms. I am particularly focused on building context-aware, enterprise-ready AI systems where Generative AI and retrieval-based intelligence enhance decision-making while maintaining trust, governance, and long-term business value.

Experience

1. Assistant Vice President (AVP)

   Siemens

   Jul 2022 — Present · Pune, IN

   AI Strategy Development: Leading the formulation of AI strategies that align with business goals, enhancing product offerings, and optimizing operations.​Product Innovation: Driving the development of AI-powered products, focusing on scalability and user-centric design.​Team Leadership: Managing a team of AI professionals, fostering a culture of innovation and continuous improvement. GenAI product development team, driving the innovation and deployment of AI-powered solutions for intelligent search, knowledge extraction, and decision-making. Spearheading the integration of Retrieval-Augmented Generation (RAG), Agent AI, and Authentic RAG to enhance automation, scalability, and efficiency in AI-driven insights.AI-Driven Knowledge Discovery – Implemented advanced AI models to automate the extraction of critical insights, significantly reducing manual effort. AWS generative AI solution transforms fast fashion cataloging by automating the creation of product attributes, descriptions, and virtual try-on images. Using Amazon Bedrock with Nova Pro and Claude Sonnet 3.5, along with Amazon Rekognition, the solution reduces time-to-market from weeks to minutes while generating SEO-optimized content and enhancing inventory management. The technology dramatically accelerates new design launches, enabling retailers to bring products to market in minutes rather than weeks. By automating labor-intensive cataloging tasks, it delivers significant operational cost savings and frees up resources for strategic priorities. The solution enhances the online shopping experience through personalized product pages featuring brand-specific voice, customized body types, poses, and emotions using advanced virtual try-on capabilities powered by Amazon Bedrock Nova Canvas. This comprehensive approach helps retail and CPG B2B companies respond faster to evolving market trends while improving customer engagement through AI-powered automation.

Education

• Massachusetts Institute of Technology

  Diploma of Education, Deep learning

• EY Academy of Business Polska

  Financial Modeling and Valuation, Finance

• XLRI Jamshedpur

  certificate, Project Management

  2018 — 2019

• Malaviya National Institute of Technology Jaipur

  B.E, Electrical engg

  2005 — 2009

• Department of Business Administration, University of Lucknow

  Master of Business Administration - MBA, Applied AI/ML in Finance

Skills

• Trimble Gps
• Load Flow Analysis with Software Toll Like Cymdist,Neplan.cost Benifiet
• Arcgis
• Autocad
• Gis
• Boq