I am an AI research and engineering leader with 16 years in AI research and a record of building enterprise AI products from the ground up in two startups. I have led multiple products and distributed teams across three geographies and set technical direction with founders, executives, and customers. Products I led are used by Fortune 500 enterprises, and banking products I led from inception are in proof-of-concept engagements with SMBC.
My research foundation in multi-agent systems, reinforcement learning, game theory, and stochastic optimization helps me judge which problems need research, which need engineering, and which need a product decision, and to build teams that can tell the difference.
Career
Experience
Principal Architect at kAIgentic Inc
- Lead AI research and architecture across kAIgentic’s banking product suite from early ideation; set technical direction across teams with product, technology, and customer success leaders, turning customer priorities into research and engineering decisions.
- Originated products for process mapping, process transformation, and agentic AI, translating enterprise banking problems into research priorities, prototypes, and product capabilities.
- Architected multi-agent process intelligence combining multiple information sources, banking ontologies, and knowledge graphs.
- Products I led from inception are in proof-of-concept engagements with SMBC.
Principal AI Architect at Avesha Inc
- Led AI research and product creation across five products, taking each from concept through proof of concept and production.
- Managed three AI teams across India, Romania, and Canada; recruited, onboarded, and mentored engineers; established the company’s U.S. AI presence after its Series B.
- Led all AI initiatives, working directly with the CEO and executive leadership on product strategy, customer acquisition, and technical direction.
- RL-driven autoscaling cut cloud costs by more than 30%; GPU orchestration increased LLM inference throughput 3x.
- Products used by Fortune 500 enterprises including NVIDIA, JPMorgan Chase, CVS Health, Kroger, T-Mobile, and Supermicro.
- Initiated and led research collaborations with IIT Bombay and IIIT Bangalore.
Research Engineer at IBM Research India
- Co-wrote the five-year IBM Research Math Council grant Making Game Theory Practical for Decision-Making in Multi-Agent Systems, and led game-theoretic research in constrained and risk-averse multi-agent RL under it.
- Core contributor to AI-based analytics for Sterling Commerce Multi-Enterprise Business Networks.
- Led development of the IPDC supply chain and dealer finance blockchain platform; contributed blockchain solutions for Bajaj Auto and M&M Finance.
- IBM Research Spotlight Award, Client Value Outstanding Technical Achievement Award, and Research Accomplishment Award.
Research Assistant at Robert Bosch Centre for Cyber-Physical Systems, IISc
- Co-wrote the five-year grant Distributed Multi-Agent Algorithms for Dynamic Control of Microgrids, funded by the Department of Science & Technology, India and the Robert Bosch Centre for Cyber-Physical Systems.
- Researched distributed reinforcement learning for decentralized microgrid control; the grant supported publications on microgrid energy management (IEEE SmartGridComm 2018, IEEE ISGT-Europe 2020), stochastic gradient search (IEEE CDC 2018), and constrained multi-agent RL (AAMAS 2021).
Research Intern at IBM Research India
- Built the initial blockchain invoice-discounting proof of concept for Mahindra & Mahindra on Hyperledger Fabric; it led to IBM securing the full project, the first blockchain project in India [IBM blog].
Education
Bengaluru
Indian Institute of Science
M.Sc. (Engg.) in Computer Science, Aug 2014 – Nov 2016. Advisor: Prof. Shalabh Bhatnagar. Thesis: Stochastic Newton methods with enhanced Hessian estimation [pdf] [slides].
Guntur
NRI Institute of Technology
B.Tech. in Information Technology, 2008 – 2012. Advisor: Dr. Viswanath Pulabaigari. Ranked 2nd in the department; first publication on k-nearest neighbor classification (2010).
Expertise
Leadership
Product ideation and strategy, technical direction, team building and mentoring, executive and customer engagement, research partnerships.
AI
Multi-agent systems, agentic AI, LLMs, reinforcement learning, knowledge graphs and ontologies, stochastic optimization, game theory.
Platforms and engineering
Kubernetes, GPU orchestration, multi-cloud infrastructure, Hyperledger Fabric; Python, Go, PyTorch, Neo4j, MongoDB.
Teaching
- Teaching Assistant, Computational Neuroscience, Neuromatch Academy, 2020 [certificate]
- Teaching Assistant, Algorithms and Programming, Indian Institute of Science, 2016