Shreeman D.

About Shreeman D.

Strategic technology leader with over 25 years of experience in driving innovation and growth across e-commerce and advanced AI solutions. Demonstrated expertise in building and scaling high-performing engineering teams at top tech companies. Successfully led the development of Tesco.com\'s e-commerce platform, catering to over 100 million customers and managing billions of API calls daily.Currently leading the development of a next-generation AI platform at Publicis Sapient, leveraging generative AI and Large Language Models (LLMs) across various industries. This platform provides comprehensive end-to-end solutions for diverse use cases, including Retrieval-Augmented Generation (RAG), multimodal models for chat, calls, and reasoning, and custom model support with distributed serving and LLMOps practices such as LLM gateway, guardrails, and monitoring.

Experience

1. Vice President of Engineering

   Publicis Sapient

   Aug 2021 — Present · Bengaluru, IN

   I spearhead the development of a next-generation AI platform at Publicis Sapient, leveraging generative AI and Large Language Models (LLMs) to create multi-tenant solutions for industries like Pharmaceutical, Automotive, Consumer Packaged Goods, and Finance. Built on advanced LLMs such as OpenAI, Gemini, Mistral, and LLMA3, this platform offers a suite of AI functionalities known as \"core AI.\"Core AI empowers businesses with innovative solutions, including:Reasoning and Generative Adversarial Networks (RAGs): Models for complex reasoning tasks, aiding decision-making and problem-solving.Multimodal Models (Text, Image, Audio, Video): AI models that process various media types for interactive chatbots, content creation, and data analysis.Advanced Chat and Question Answering Systems: AI-powered chatbots for natural interactions and systems that answer complex questions.Building AI-driven Ads: Generating ads per brand guidelines (images, banners, videos) using techniques like inpainting, style transfer, feature extraction, and watermarking.We also optimize engineering and operations through AI, implementing a state-of-the-art LLMOps model with features like:Distributed Serving: Efficiently scaling AI models for high request volumes.Fine-tuning: Continuously improving model performance with new datasets.Model Hub: Centralizing custom models for easy access and deployment.Guardrails and LLM Monitoring: Ensuring responsible AI development with robust safety and performance monitoring.

Skills

• Microsoft Technologies
• Architecture
• Software Design
• Application Architecture
• T-Sql
• Software Development
• Nosql
• Scrum
• Silverlight
• Architectures
• Api Development
• Kubernetes
• Nodejs
• Test Driven Development
• Devops
• Microsoft Azure
• Agile Methodologies
• Business Intelligence
• Uml
• Spark
• Integration
• Xml
• Database Design
• Golang
• Visual Studio
• Elk
• Wcf
• Ssis
• Data Modeling
• Hadoop
• Agile Project Management
• Data Warehousing
• Web Services
• Sql
• Asp.net
• Service-Oriented Architecture (Soa)
• Redis
• Sdlc
• Xslt
• IT Strategy