AI research & engineering leadership

I lead teams that turn AI research into enterprise products.

Principal Architect at kAIgentic, leading AI research and architecture for agentic AI in banking. Previously, I led five AI products at Avesha from concept to production for Fortune 500 enterprises, after research at IBM Research and the Indian Institute of Science.

Sai Koti Reddy Danda

Bengaluru, India

16+

years in AI research

3

AI teams led across three geographies

30%+

lower cloud costs with RL-driven autoscaling

3x

LLM inference throughput with GPU orchestration

Scope

What I lead

kAIgentic · now

Agentic AI for banking

AI research and architecture for process mapping, process transformation, and agentic AI. Products I led from inception are in proof-of-concept engagements with SMBC.

Avesha · 2021–2025

AI infrastructure products

Five products from concept to production, including RL-driven Kubernetes autoscaling, GPU orchestration for LLM inference, and agentic SRE and QA automation.

Leadership

Teams and research partnerships

Three AI teams across India, Romania, and Canada; recruiting and mentoring engineers; research collaborations with IIT Bombay and IIIT Bangalore; two five-year research grants.

See products and impact →

Customers

Products I led are used by

Fortune 500 enterprises

  • NVIDIA
  • JPMorgan Chase
  • CVS Health
  • Kroger
  • T-Mobile
  • Supermicro

Across telecom, media, security, cloud infrastructure, and financial services

  • Cox
  • Akamai
  • Nutanix
  • Amagi
  • McAfee
  • Finvi

Global banks: proof-of-concept engagements with SMBC at kAIgentic.

Research

A research foundation

My leadership rests on research depth. I co-wrote two five-year research grants, published at AAMAS, IEEE CDC, and ECAI, and contributed to U.S. patents, before carrying that work into products used by enterprises.

Research, grants, and patents →

2

five-year research grants

14

publications

8

patents and patent filings

3

IBM awards for research and client value

Updates

News

  • 2026 Products I led at kAIgentic from inception entered proof-of-concept engagements with SMBC.
  • Dec 2025 Joined kAIgentic as Principal Architect, leading AI research and architecture for agentic AI in banking process transformation.
  • Dec 2025 Completed nearly five years at Avesha, leading AI research and product creation across five products used by Fortune 500 enterprises.
  • Oct 2023 Paper on truthful and equitable lateral transshipment in multi-retailer systems published at ECAI 2023.
  • 2023 U.S. Patent 11,805,073 granted: controlling placement of workloads of an application within an application environment.
  • Jul 2022 Paper on inventory pooling using deep reinforcement learning published at IEEE SCC 2022.
Earlier news
  • Mar 2021 Joined Avesha as a founding member of the engineering team.
  • Feb 2021 Paper on optimization transactions on permissioned blockchains accepted at IEEE ICBC 2021.
  • Dec 2020 Short paper extending attention mechanisms to multi-agent constrained reinforcement learning accepted at AAMAS 2021.
  • Sep 2020 Paper on collaborative shipping accepted at IEEE Blockchain 2020.
  • Jul 2020 Project I mentored in my Neuromatch Academy teaching pod featured in the course highlights [video, from 5:57].
  • Jul 2020 Two presentations on blockchain solutions accepted at the INFORMS Annual Meeting 2020.
  • Jul 2020 Awarded my first Patent Plateau by IBM.
  • Jun 2020 Teaching Assistant at Neuromatch Academy 2020 [certificate].
  • Feb 2020 Paper on smart grids accepted at IEEE PES ISGT-Europe 2020.
  • Jul 2019 Smart-grid research featured in Research Matters.
  • Jan 2019 Two short papers on multi-agent reinforcement learning accepted at AAMAS 2019.
  • Jul 2018 Papers accepted at IEEE SmartGridComm 2018 and IEEE CDC 2018.
  • Jul 2017 Joined IBM Research India to work on blockchain and smart contracts.
  • Dec 2016 Presented work on Hessian estimation for simulation optimization at the 55th IEEE CDC, Las Vegas [slides].

Let’s talk

Always glad to exchange ideas on agentic AI, multi-agent systems, and turning research into products, or to connect on research collaborations and speaking.