Austin, Texas  ·  AI & FinTech Engineering Leader

Building agentic AI systems that serve customers at fintech scale.

IEEE Senior Member, published AI researcher, and engineering leader with 19+ years building enterprise platforms, search and knowledge systems, and AI‑enabled customer experiences across the fintech stack.

Agentic AI Autonomous Servicing Semantic Search Knowledge Graphs Payment Intelligence Trustworthy AI
19+Years in Enterprise & FinTech
6Peer-Reviewed Publications
4IEEE Society Memberships
4Media Features & Interviews

AI platforms that turn ambiguous customer signals into reliable, governed action.

My work sits at the intersection of agentic AI, knowledge systems, and fintech platform engineering — designed for environments where accuracy, accountability, and operational reliability are non-negotiable.

Agentic AI & autonomous servicing

LLM-driven agents and orchestration patterns that act on customer intent — with guardrails, evaluation, and human-in-the-loop controls built in from day one.

Product knowledge graphs

Domain knowledge models that connect products, content, intents, and customers — fueling retrieval, reasoning, and recommendation across the experience.

Semantic & multilingual search

BERT, embedding, and graph-aware retrieval — engineered for financial language, regional nuance, and conversational query patterns.

Customer & payment intelligence

Behavioral signals and predictive models that anticipate friction, surface the next-best action, and personalize the servicing experience.

Responsible & trustworthy AI

Evaluation harnesses, governance, monitoring, and human-in-the-loop patterns that make generative AI safe to ship in regulated, high-stakes contexts.

Platform engineering & modernization

Scalable Java/Spring, Node.js, and cloud-native systems — modernizing legacy stacks into composable, AI-ready platforms without breaking the business.


The themes that define every system I help build.

A.1

Agentic systems with guardrails

Multi-agent orchestration, tool use, planning, and reflection — paired with evaluation, escalation, and policy controls suited to regulated environments.

A.2

Generative AI in customer-facing flows

LLM-grounded summarization, intent understanding, and conversational servicing — with retrieval, citations, and fallbacks rather than naked prompting.

A.3

Knowledge representation at scale

Product knowledge graphs, taxonomies, and content models that make domain semantics first-class — so search, recommendation, and agents share one source of truth.

B.1

Search & retrieval as a product

From Lucene-era relevance tuning to embedding and graph-aware retrieval — treating search as a continuously evaluated product, not a one-time integration.

B.2

Cold-start & personalization

Bootstrapping recommendations when behavioral signal is thin — including LLM-assisted training data generation and synthetic intent modeling.

B.3

Engineering leadership at scale

Building high-trust engineering teams, architecting roadmaps that survive contact with reality, and translating AI ambition into shippable, measurable platforms.


Two decades building platforms customers, agents, and operators rely on.

PayPal  ·  Austin, TX 2022 — Present

Senior Engineering Manager

AI-enabled customer experience, autonomous servicing & platform engineering

  • Lead engineering initiatives across AI-enabled customer experience, autonomous servicing, search, knowledge systems, and platform modernization.
  • Drive enterprise-scale execution across fintech platforms, customer support automation, personalization, and digital servicing.
  • Partner with product, design, data, and operations teams to deliver reliable, measurable, and customer-centered AI platform capabilities.
  • Mentor and manage engineering teams while promoting scalable architecture, responsible AI practices, and operational excellence.
  • Contribute to long-term AI strategy across agentic AI, behavioral intelligence, semantic search, and generative AI-enabled servicing.
PayPal  ·  Austin, TX 2018 — 2022

Engineering Manager

Customer experience platforms, knowledge systems & self-service

  • Led engineering teams delivering customer experience, support automation, knowledge-platform, and self-service capabilities.
  • Guided architecture, delivery planning, prioritization, code quality, mentoring, and cross-team execution for customer-facing platform initiatives.
  • Advanced search, content, analytics, and personalization capabilities supporting customer support and self-service experiences.
PayPal  ·  Austin & Chennai 2011 — 2018

Member of Technical Staff · Senior Software Engineer · Software Engineer 3

Knowledge platform, search & self-service engineering

  • Designed and delivered platform capabilities across knowledge management, search, self-service, and web application systems.
  • Built and modernized Java, Spring, Node.js, and search/knowledge-platform components powering customer support at scale.
  • Contributed to search tuning, analytics, content workflows, and platform evolution; mentored engineers and improved engineering quality.
CSC India  ·  Chennai 2008 — 2011

Associate Manager · Senior Software Engineer · Technical Lead

Enterprise software delivery for energy, financial services & insurance clients

  • Led enterprise software delivery: requirements, architecture, build, test, deployment coordination, and support.
  • Worked on economic planning, production forecasting, and reserve-estimation systems with complex business logic and data workflows.
  • Coordinated onsite/offshore delivery, user acceptance testing, and client-facing implementation planning.
Covansys India  ·  Chennai 2005 — 2008

Senior Software Engineer · Associate Projects · Associate Trainee

Enterprise web, rich-internet & e-commerce platforms

  • Built enterprise web applications, rich-internet interfaces, reusable UI components, database objects, and integration layers.
  • Contributed to e-commerce, supply-chain, and enterprise modernization projects for retail, manufacturing, financial services, and energy clients.
  • Recognized for innovation, technical excellence, and delivery execution through company awards and nominations.

Peer-reviewed work across search, knowledge graphs, and trustworthy AI.

Six independent research papers published in peer-reviewed journals — focused on the production-grade challenges of bringing AI to customer-facing fintech and commerce systems.


Conversations on agentic AI, behavioral intelligence, and the future of FinTech servicing.

Featured interviews and editorial contributions on the practical and strategic dimensions of AI in regulated, customer-facing environments.

AI Journal

The Future of Behavioral Analytics: An Interview with Martin Louis

A deep dive into how behavioral intelligence is reshaping customer experience in financial services — from intent modeling to proactive servicing at scale.

Techstrong.ai

Agentic AI is the Next Workforce, Not Just a Toolset

Why the shift from AI tools to AI agents demands a new architecture for trust, governance, and human oversight in enterprise environments.

AllTech Magazine

From Code to Co-Pilot: How Martin Louis Is Turning Generative AI Into a Business Engine

Examining the practical path from generative AI experiments to production-grade systems that create measurable business outcomes in fintech.

SiteProNews

When AI Reads the Room, Predicts Buyer Intent, and Respects Ethics

How responsible AI design enables customer-centric prediction — without compromising on privacy, fairness, or regulatory compliance.


Professional standing and community contributions.

Professional standing

IEEE Senior Member

An elevation level reserved for engineers with significant professional achievement — fewer than 10% of IEEE members hold this grade. Active across IEEE Computer Society, Control Systems Society, Signal Processing Society, and Technology and Engineering Management Society.

Speaking

IEEE CCIC 2026 — Industry Keynote

Invited industry keynote speaker at the IEEE Computing Conference on Intelligent Computing (CCIC) 2026 — contributing research and perspective on AI systems, agentic design, and trustworthy AI.

Research

Published AI Researcher

Six peer-reviewed publications on semantic search, product knowledge graphs, recommendation systems, LLMs, NFTs in commerce, and trustworthy AI frameworks — spanning 2019 to 2023.

Industry recognition

PayPal SPOT & Performance Awards

Multiple SPOT awards and team performance recognitions across engineering delivery milestones. PayPal Austin Hackathon Bounty Winner, 2018.

Community

Science Fair Judging & STEM Outreach

Harmony Public Schools District Science Fair judge (2020) — evaluating student STEM research and supporting the next generation of engineers and scientists.

Earlier recognition

Technical Excellence

CSC Chairman's Technical Excellence Award nominee. Covansys PRIDE Recognition (2006, 2007) and CORE Excellence Award for innovation and delivery execution.

Education

UT Austin · Cloud Computing (in progress)

Post-Graduate Program in Cloud Computing, The University of Texas at Austin. MCA and B.Sc. Computer Science, Bharathiar University, India.

Certifications

AI & Platform Credentials

AI Agentic Design Patterns with AutoGen (DeepLearning.AI) · Certified Product Manager (Product School) · Six Sigma Green Belt · Sun Certified Java Programmer · IBM Certified Developer & Database Associate.


Let's build the next trustworthy AI platform.

Open to senior AI engineering leadership conversations — including Director of AI Engineering, Head of AI Platform, Director of Agentic AI, and FinTech AI engineering leadership roles. The fastest path is LinkedIn.