Shubhrangam Malaviya

CTO

Cupertino, California, United States24 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 22 years of industry experience in AI and Big Data.
  • Led high-performing teams delivering AI @Scale platforms.
  • Established innovative AI solutions generating millions in revenue.
Stackforce AI infers this person is a Fintech and AI innovation leader with extensive experience in large-scale AI solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Generative AiConversational AiData EngineeringMachine Learning

Other Skills

AI TechniquesAI/MLARMAgile MethodologiesAmazon Web Services (AWS)AndroidBig Data AnalyticsBusiness Model InnovationCC++ChatGPTComputer VisionCritical ThinkingCross-functional Team LeadershipCustomer Data

About

With over 22 years of industry experience and 11+ years of knowledge in Artificial Intelligence, Big Data, and Cloud Products, I am an Executive Director at JPMorgan Chase, leading a group of engineers and data specialists who deliver innovative and scalable solutions for various business domains. I have a strong track record of executing global products through stages of planning, strategy, and product life cycle management, with multiple patents, publications, and certifications to my credit. Experience of working in AI Products with LLM, GPT, GAN, Deep fake, Deep Neural Networks, CNN, RNN, Time Series Analysis, multivariat Problems, Risk Assessment , Recommender Systems, Vision Techniques for Object Detection and Tracking, Super Resolution and Ensemble Techniques. Along with this AIOps and Model Development & Deployment Lifecycles. I have established and managed high-performing teams, delivering AI @Scale platforms with billions of hits and sub-second responses, and generating millions in revenue. I have also reduced time to market by 33% with agile practices and process synchronization, and initiated innovation work streams with JPMorgan Chase and academia collaboration. I have extensive customer engagement experience, working with leading companies such as Netflix, Amazon, Walmart, Nokia, and others. I am passionate about continuous innovation and applying data-driven decision making to create value for the organization and the society. My areas of interest include Big Data Analytics, Machine Learning, Enterprise Cloud Solutions, Multimedia Services, and Computer Vision.

Experience

24 yrs 6 mos
Total Experience
3 yrs 8 mos
Average Tenure
2 yrs 6 mos
Current Experience

Lseg (london stock exchange group)

Director AI Innovation, Group CTO

Dec 2023Present · 2 yrs 6 mos · San Francisco Bay Area

  • Leading a global organization of 70+ AI engineers and data scientists, responsible for managing the AI Platform that powers LLMs with guardrails, multi-agent frameworks, and the development of Small Language Models (SLMs), open-weight models (such as TinyLlama and Phi-3.5), and traditional machine learning systems.
  • Overseeing the complete Model Development Lifecycle—including training, evaluation, guardrails, and accuracy optimization for in-flight predictions. Leading a specialized team of researchers and data scientists focused on fine-tuning models using Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) for domain-specific applications.
  • Driving strategic direction and innovation in AI through advanced training methods, robust evaluation frameworks, and cross-functional collaboration to deliver impactful, enterprise-grade AI solutions.
  • Launched the Agent Store, enabling integration of LSEG financial data with multi-agent systems. Developed a Generative AI Experimentation Platform for organization-wide adoption—featuring an LLM gateway and low-code/no-code capabilities to democratize GenAI usage globally.
  • A strategic leader in AI innovation, advancing Generative AI, Large Language Models (ChatGPT, LLaMA), and SLMs across the enterprise. Established cross-functional programs to accelerate AI-driven business growth and strengthen LSEG’s global technology leadership and competitive edge.
  • Key Functional Areas: AI Innovation | Generative AI Platform Engineering | Global AI/ML Leadership | Enterprise AI Applications | Applied Research in LLMs and SLMs
Technological InnovationChatGPTArtificial Intelligence (AI)Large Language Models (LLM)Natural Language Processing (NLP)Computer Vision+4

Jpmorgan chase & co.

Exec. Director AI/ML Data Engineering Analytics

Nov 2021Sep 2023 · 1 yr 10 mos

  • Established a new Group for Engineers’ Experience Platform
  • Worked closely with CIOs and Leadership Teams to launch 3 new products.
  • Papers Selected in JP Morgan - DevUp, AI Summit. External Conference - Cloud Bees.
  • US patent submitted on 06/28/23 - Virtual Assistant for Technical Support.
  • Developer360 – Developer Intelligence Platform
  • Established a 16-member team of AI/ML engineers and Data Specialists.
  • Platform launched for 50k developers, architects, and managers.
  • Provided 10+ actionable insights. Expected increase in developer efficiency by 30%.
  • Time to ship reduced by 20% based on DORA Metrics & SPACE.
  • Software Engineer Assist: –Deep Learning platform for support of 100k tickets.
  • Y-o-Y expected cost reduction of 40% and support time reduction of 90%.
  • Delivered RASA-based Engine for ~75k visitors/day. ChatGPT & LLM - Ongoing
  • Knowledge Graphs, Ticket Recommendations using GraphQL & NLP Techniques.
Conversational AIRecurrent Neural Networks (RNN)Artificial Intelligence (AI)System ArchitectureCritical ThinkingLarge Language Models (LLM)+1

Samsung electronics

General Manager- AI and Machine Learning, Cloud and Data

Mar 2012Oct 2021 · 9 yrs 7 mos · Noida

  • Lead cross-functional teams of around 60 professionals, including Data Scientists, Big Data Engineers, and AI Engineers. Engineered following AI products like Samsung App Store hosting 10K+ appications, Recommender System for Samsung Ads, User and Location Segmentation using traditional AI Techniques. Advanced R&D Projects like PointCloud, Object Tracking, Multi-modal Analysis of Media Sequences .
  • Executed and managed end-to-end AI/ML projects across domains such as Computer Vision, Classification, Customer Segmentation, and Recommender Systems, utilizing popular techniques like Convolutional Neural Networks (CNNs), Random Forests, Gradient Boosting (XGBoost, LightGBM), K-Means Clustering, and Collaborative Filtering.
  • Oversaw multiple Business Intelligence and AI service implementations, leveraging Power BI, Qlik, and Zeplin for visualization and BigQuery, Azure Machine Learning, and AWS Personalize for scalable AI solutions.
Conversational AIArtificial Intelligence (AI)Software Development MethodologiesSystem ArchitectureCritical ThinkingGenerative AI+1

Stmicroelectronics

Specialist (Project Manager)

Aug 2006Feb 2012 · 5 yrs 6 mos · Greater Noida

  • Product Management for Multimedia Modules - Framework for Android,Symbian and Windows
  • Mobile Phone.
  • Android Multimedia Platform development for Samsung, HTC, Sony Ericsson
  • Development of Video Streaming, Video Telephony, Playback and Camera applications.
  • Client Interface for New Features, Defects review & change control board meeting.
  • Integration Camps at Customer sites – Vancouver, Helsinki, Grenoble, Le Mans within Customer
  • Planning Portfolio.
Artificial Intelligence (AI)System Architecture

Samsung r&d

Senior Engineer

Nov 2004Aug 2006 · 1 yr 9 mos · Noida

  • Multimedia Framework and solutions. Codecs like H.264, Mpeg 4
  • Interactive Multimedia – MHEG, Codecs – H.264, MPEG4/2, JPEG.
  • Multimedia Stack – Codecs, Application, Middle Layer & Firmware.
Customer Data

Score information technologies limited

Developer

Apr 2004Nov 2004 · 7 mos · Gurgaon, Haryana, India

  • Smart Cards and EMV, Scosta Standards.
  • Secure Operating system Development for Smart Cards.
  • ECHS Project for Indian Ex-Service men.

Indian institute of technology, kanpur

Research Associate

Jun 2001Mar 2004 · 2 yrs 9 mos · Kanpur , Uttar Pradesh, India

  • Turnkey solution for RDSO.
  • Image Algorithms.
  • Scosta Standards.

Education

Indian School of Business

Master of Business Administration (MBA) — Strategy and General Management

Jan 2015Jan 2016

Northwestern University - Kellogg School of Management

Executive Education — International Marketing

Jan 2016Jan 2016

The Wharton School

Executive Management Education — Strategy

Jan 2016Jan 2016

SRMS College of Engineering and Technology

Bachelor of Technology (B.Tech.)

Jan 1997Jan 2001

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