Agentic platforms & autonomous workflows
Grounded LLM/RAG patterns, multi-agent orchestration, MCP-based tool interfaces, workflow state, and human-in-the-loop execution for long-running servicing journeys.
Austin, Texas · AI-Native Enterprise Platform Leader
Turning enterprise AI into governed action and measurable outcomes.
Engineering leader with 19+ years building platforms that connect real-time signals, semantic context, retrieval and LLMs, agents, enterprise tools, workflows, governance, and people to reliable customer and business outcomes.
30+Engineers Led
5Platform Teams
~5×Platform Growth
200+Product Managers Enabled
AI-native platforms that connect signals, knowledge, agents, tools, workflows, and people.
I build the reference architecture, reusable primitives, operating model, and investment case that turn enterprise AI ambition into dependable customer and business outcomes.
Semantic intelligence foundations
Canonical domain events, data contracts, knowledge graphs, behavioral and transactional signals, retrieval, ranking, and decisioning that give AI trusted context.
AI-native content & knowledge workflows
Reusable workflows spanning structured content models, generation, translation, publishing, review, legal approval, and human oversight.
Customer & business outcome systems
NPS-oriented signals, next-best actions, self-service effectiveness, transaction recovery, and proactive interventions tied to measurable experience and operating outcomes.
Evaluation, reliability & governance
Quality evaluation, observability, policy guardrails, answer-quality commitments, escalation, and human oversight for dependable enterprise adoption.
Platform economics & engineering leverage
Adoption, reuse, cost-to-serve, TCO, investment strategy, AI-assisted engineering, and reusable standards that compound productivity across teams.
The architecture and leadership disciplines behind reusable enterprise AI.
Reference architecture & reusable primitives
Shared patterns for agents, tools, state, retrieval, evaluation, and workflow execution that teams can adopt without rebuilding the foundation.
Agents, tools & durable workflow state
Multi-agent and multi-turn orchestration, MCP-based integration, policy-aware tool use, escalation, and resumable execution across enterprise workflows.
Semantic layer & data contracts
Canonical events, domain models, product knowledge graphs, and grounded retrieval that let platforms share context and meaning across fragmented domains.
Evaluation, observability & guardrails
Answer quality, reliability, monitoring, policy controls, fallbacks, and human oversight designed into the platform—not added after launch.
Platform strategy & economics
Roadmaps and investment choices grounded in customer outcomes, adoption, reuse, transaction recovery, cost-to-serve, TCO, and operational reliability.
Organizational leverage
High-trust teams, strong managers, AI-assisted engineering, rapid prototyping, and multi-team standards that increase delivery velocity through change.
From search and knowledge foundations to enterprise agentic platforms.
Senior Engineering Manager
Enterprise AI platforms, agentic systems & autonomous customer servicing
- Set platform vision and north-star reference architecture for a 30+ engineer organization across five teams spanning knowledge and answer platforms, proactive servicing, intelligent routing, predictive AI, and autonomous agents.
- Lead a reusable enterprise agentic AI framework combining grounded LLM/RAG patterns, multi-agent orchestration, MCP-based tool interfaces, workflow state, evaluation, observability, guardrails, and human-in-the-loop execution.
- Architected a shared semantic intelligence layer using canonical domain events, data contracts, behavioral and transactional signals, a product knowledge graph, retrieval, ranking, and decisioning across 20+ Kafka topics and a dozen domains.
- Reimagined content and knowledge operations as AI-native workflows spanning structured models, generation, translation, publishing, review, legal approval, and human oversight.
- Scaled the platform ~5× from a two-engineer effort into a multi-team capability serving tens of millions; delivered 11+ intervention strategies recovering nine figures in annual transaction value.
- Built the case for a multi-year, multi-million-dollar program, aligned four partner organizations on shared architecture and governance, and enabled self-service reuse by 200+ product managers.
- Drive decisions through customer and operating economics—including NPS-oriented signals, reliability, cost-to-serve, TCO, adoption, reuse, answer quality, and delivery velocity—while hiring and developing engineers and managers.
Engineering Manager
Personalization, real-time decisioning & intelligent customer self-service
- Evolved enterprise content management into a reusable intelligence platform connecting knowledge, behavioral signals, analytics, personalization, and experience delivery.
- Architected a real-time Java/Spring recommendation and personalization engine; improved recommendation accuracy ~25% and reduced search time ~40% for 10M+ monthly active users.
- Secured executive sponsorship and multi-million-dollar investment while leading architecture, delivery, talent development, and operational excellence.
Member of Technical Staff · Senior Software Engineer · Software Engineer 3
Search, knowledge, retrieval & self-service foundations
- Designed large-scale search and knowledge capabilities for 50M+ users using Java, Lucene, Oracle Knowledge/Search, NLP, and relevance engineering.
- Developed fuzzy-matching and relevance capabilities that reduced resolution time ~35%, establishing deep technical lineage in retrieval quality, ranking, and semantic matching.
- Built reusable search and knowledge services and automated AWS deployments across APIs, data integration, reliability, and production operations.
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.
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, peer-reviewed papers spanning applied AI for customer-facing search, personalization, digital commerce, and trustworthy system design.
Scaling Trustworthy AI: A Framework for Responsible System Design
GJETAUsing Large Language Models (LLMs) to Address the Cold Start Problem in Machine Learning Training Data for E-Commerce Product Listing Generation
WJARRTransforming Commerce: The Role of NFTs in Enhancing Customer Engagement and Loyalty
IJSRAPersonalized Recommendation Systems for Customer Self-Service and Promotions: Enhancing Effortless Customer Experience
WJARRSemantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems
IRE JournalsMultilingual Search Optimization Using BERT AI and Product Knowledge Bases
IRE JournalsConversations 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 independent, 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.
07 / Contact
Let's turn enterprise AI ambition into durable outcomes.
Open to Senior Engineering Manager and Director conversations across AI platforms, agentic systems, enterprise AI, customer experience intelligence, and autonomous servicing. The fastest path is LinkedIn.