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Indradumna B.

AI Engineering Leader Teaching AI to behave well | PhD KTH Royal Institute of Technology

Bengaluru

15+ years of work experience

HSBC
Jan 20251 yr 9 mosPresent

Bengaluru, Karnataka, India

I am currently leading the development of a cutting-edge GenAI powered financial engineering platform. By focusing on end-to-end AI System Engineering, we successfully put Generative AI use cases into production.
EY
Jun 20247 mosDec 2024

Bengaluru, Karnataka, India

I lead AI enablement initiatives, empowering clients to harness the potential of cutting-edge tech stacks based on the likes of Azure, NVIDIA NIMs and OCI. I'm passionate about translating complex business challenges into impactful AI solutions, leveraging my deep expertise in Generative AI, Multi-Agent Systems, and Vision Language Models. My hands-on experience spans the entire AI lifecycle - from conceptualizing and developing innovative algorithms and models to deploying and managing them in production environments. I thrive in collaborative settings, mentoring and guiding teams to deliver exceptional results. Additionally, I'm committed to staying at the forefront of AI advancements, actively contributing to the field through research and thought leadership. I believe in the transformative power of AI, and I'm dedicated to helping clients unlock its full potential to achieve their strategic goals.
Oracle
May 20222 yrs 1 moMay 2024

Bangalore

Have delivered AI powered Enterprise CDP algorithms that work on the entire customer lifecycle in real time. With built-in AI and machine learning, Oracle CX Marketing brings data together from all sources, applies intelligence, and activates insights to improve the B2B customer experience across marketing, sales, service, and commerce. Link: https://www.oracle.com/in/cx/customer-data-platform/ Leading a team of data scientists, machine learning engineers, and release engineers to deliver multiple data science algorithms into production across Oracle Unity, Responsys and Eloqua, with a relentless focus on scalability of Data Science solutions. Building Generative AI solutions on the CX Marketing suite, that includes defining the Gen AI product roadmap and features in consultation with product managers and partners. Involves solutioning and architecting the tech stack for provisioning and authentication of Generative AI apps. Gen AI feature development includes prompt engineering, use case specific response conditioning, mitigating strategies for hallucinations, chaining, finetuning, RAG, guardrails, evaluation metrics, testing frameworks, and successful deployment into production. Leading research efforts on Generative AI that includes understanding hallucinations and how it evolves, and exploring multimodal Generative AI solutions.
Shell
Dec 20192 yrs 5 mosApr 2022

Bengaluru, Karnataka, India

Advanced algorithm development from scratch in the space of. Imaging, Deep Learning and Computational Modelling for a wide variety of applications in Geophysics, Solar Power prediction, Lubricants, Smartgrid planning and Optimisation, Electric Vehicles, and Equipment Lifetime Prediction.
KTH Royal Institute of Technology
Jun 20144 y 9 moMar 2019

Stockholm

Apr 20145 y 7 moNov 2019

Dublin, Ireland

JINDAL STAINLESS LIMITED
Jul 20093 y 1 moAug 2012

Jajpur Road, India

Indradumna’s AI Stack

claude code
claude code
gemini
gemini
github copilot
github copilot
langchain
langchain
langgraph
langgraph
langsmith
langsmith

Education

KTH Royal Institute of Technology

Doctor of Philosophy - PhD, PhD in Computer Vision

KTH Royal Institute of Technology

20154 yrs2019
Tampere University of Technology 1965-2018

Master's degree, Machine Automation

Tampere University of Technology 1965-2018

20122 yrs2014

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Headline

AI Engineering Leader Teaching AI to behave well | PhD KTH Royal Institute of Technology

About

As Vice President and AI Lead at HSBC, a proven track record in AI system engineering drives the development and deployment of Generative AI solutions for financial platforms. By leading cross-functional teams, a robust focus on implementing end-to-end AI systems ensures practical applications of GenAI use cases in production environments. With prior experience as AI Manager at EY and Principal Data Scientist at Oracle, expertise spans Generative AI, Multi-Agent Systems, and Vision Language Models. A commitment to innovation is demonstrated by delivering impactful AI solutions and mentoring teams to achieve exceptional results. Dedicated to advancing state-of-the-art AI applications while translating complex challenges into scalable, real-world outcomes.

Location

Bengaluru

AI stack

claude code

gemini

github copilot

langchain

langgraph

langsmith

Work experience

Vice President, AI Lead at HSBC, Jan 2025 - Present · 1 yr 9 mos, Bengaluru, Karnataka, India, I am currently leading the development of a cutting-edge GenAI powered financial engineering platform. By focusing on end-to-end AI System Engineering, we successfully put Generative AI use cases into production.

AI Manager at EY, Jun 2024 - Dec 2024 · 7 mos, Bengaluru, Karnataka, India, I lead AI enablement initiatives, empowering clients to harness the potential of cutting-edge tech stacks based on the likes of Azure, NVIDIA NIMs and OCI. I'm passionate about translating complex business challenges into impactful AI solutions, leveraging my deep expertise in Generative AI, Multi-Agent Systems, and Vision Language Models. My hands-on experience spans the entire AI lifecycle - from conceptualizing and developing innovative algorithms and models to deploying and managing them in production environments. I thrive in collaborative settings, mentoring and guiding teams to deliver exceptional results. Additionally, I'm committed to staying at the forefront of AI advancements, actively contributing to the field through research and thought leadership. I believe in the transformative power of AI, and I'm dedicated to helping clients unlock its full potential to achieve their strategic goals.

Principal Data Scientist at Oracle, May 2022 - May 2024 · 2 yrs 1 mo, Bangalore, Have delivered AI powered Enterprise CDP algorithms that work on the entire customer lifecycle in real time. With built-in AI and machine learning, Oracle CX Marketing brings data together from all sources, applies intelligence, and activates insights to improve the B2B customer experience across marketing, sales, service, and commerce. Link: https://www.oracle.com/in/cx/customer-data-platform/ Leading a team of data scientists, machine learning engineers, and release engineers to deliver multiple data science algorithms into production across Oracle Unity, Responsys and Eloqua, with a relentless focus on scalability of Data Science solutions. Building Generative AI solutions on the CX Marketing suite, that includes defining the Gen AI product roadmap and features in consultation with product managers and partners. Involves solutioning and architecting the tech stack for provisioning and authentication of Generative AI apps. Gen AI feature development includes prompt engineering, use case specific response conditioning, mitigating strategies for hallucinations, chaining, finetuning, RAG, guardrails, evaluation metrics, testing frameworks, and successful deployment into production. Leading research efforts on Generative AI that includes understanding hallucinations and how it evolves, and exploring multimodal Generative AI solutions.

Researcher (Data Science) at Shell, Dec 2019 - Apr 2022 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Advanced algorithm development from scratch in the space of. Imaging, Deep Learning and Computational Modelling for a wide variety of applications in Geophysics, Solar Power prediction, Lubricants, Smartgrid planning and Optimisation, Electric Vehicles, and Equipment Lifetime Prediction.

Researcher at KTH Royal Institute of Technology, Jun 2014 - Mar 2019 · 4 y 9 mo, Stockholm

Postdoctoral Researcher at Dublin City University, Apr 2014 - Nov 2019 · 5 y 7 mo, Dublin, Ireland

Associate Manager at JINDAL STAINLESS LIMITED, Jul 2009 - Aug 2012 · 3 y 1 mo, Jajpur Road, India

Education

Doctor of Philosophy - PhD, PhD in Computer Vision, KTH Royal Institute of Technology

Master's degree, Machine Automation, Tampere University of Technology 1965-2018