Available for New Opportunities

Hi, I'm

Elanthirayan (Ela)

Senior Applied AI Engineer

Researching and evaluating frontier AI: forming hypotheses, validating with evidence, and translating what works into production.

I investigate emerging AI approaches, run experiments to separate signal from hype, and turn what works into real-world systems, not just prototypes.

Currently building AI Concepts Playground, a hands-on way to understand AI concepts through experimentation.

11+

Years Experience

6+

Technical Papers

80+

Blogs Published

About Me

Applied AI & Emerging Digital Technology Researcher who investigates frontier AI, validates it with evidence, and translates research into production.

Elanthirayan Madhavan

Research & Focus Areas

🔬
Applied AI Research & Experimentation
🤖
Generative AI, Agents & Model Fine-Tuning
🏗️
Software Architecture & System Design
☁️
Cloud & Platform Engineering
🌐
Full-Stack Engineering

Over 11+ years I've moved from full-stack engineering into researching and evaluating emerging technologies, and today I treat frontier AI as a research problem before an engineering one.

I'm an Integrated Emerging Digital Tech Analyst at Shell. I research emerging technologies, evaluate them through proofs-of-concept, and translate findings into reports, recommendations, and production-ready systems, spanning Generative AI, Agentic AI, HPC, Digital Twins, and Spatial Computing.

Before committing to an approach, I evaluate new AI methods, benchmark alternatives, and choose architectures based on empirical evidence, measuring value, performance, and cost rather than following hype.

I publish what I learn, open-source the tools I build, and share findings with the wider community. I believe good research isn't about using more technology; it's about rigorously understanding what actually works and why.

Research & Publications

I approach emerging AI as a research problem first: forming hypotheses, running experiments, benchmarking approaches, and publishing what I learn. The result is 6+ technical papers and dozens of proofs-of-concept that shaped enterprise technology roadmaps.

6+

Technical Papers

20+

Proofs-of-Concept

80+

Articles Published

🤖
Featured Publication

Reinforcement Learning for Autonomous Robotics

Research paper presented at IIM Bangalore

Developed a 3D synthetic environment in which robotic arms learned object grasping and pick-and-place tasks using vision and sensor feedback. The trained policies were designed for deployment to ROS-based robotic systems, bridging simulation-based reinforcement learning with real-world robotics.

Reinforcement Learning Robotics Computer Vision ROS Simulation
🔎

Enterprise RAG & Knowledge Retrieval

Investigated retrieval-augmented generation, semantic search, and multi-agent workflows for technical knowledge management, evaluating chunking, embedding, and grounding strategies to improve answer accuracy and traceability.

RAG Semantic Search Multi-Agent
🧪

Model Adaptation & Fine-Tuning

Experimented with parameter-efficient fine-tuning (LoRA, QLoRA) and systematic evaluation to adapt foundation models to domain data, tracking experiments and comparing cost, quality, and latency trade-offs with MLflow.

LoRA QLoRA MLflow

HPC for Large-Scale AI

Studied how High-Performance Computing can parallelize extraction, preprocessing, embedding generation, and vector indexing, measuring throughput gains for enterprise-scale document workloads.

HPC Vector Indexing Parallelization
🌐

Emerging Tech & Spatial Computing

Evaluated Digital Twin, OpenUSD, and spatial-computing approaches through technical research and internal publications, assessing feasibility and impact to guide enterprise innovation roadmaps.

Digital Twins OpenUSD Spatial Computing

Reusable Tools. Real Problems.

These projects weren't built as demos. They were created to solve real engineering challenges encountered while building AI products. Each one is open source, production-ready, and designed to be reused, extended, and improved by the community.

01

ChatUI

A production-ready, provider-agnostic AI chat framework that lets teams switch LLM providers without rebuilding the application.

Instead of coupling the user interface to a single model provider, ChatUI separates the frontend from the AI backend through a configurable provider layer. Whether you're using Azure OpenAI, OpenAI, Ollama, or another compatible API, the same application can switch providers without changing the UI.

Why it matters

  • Deploy branded AI assistants in minutes instead of rebuilding chat interfaces
  • Switch between LLM providers through configuration, not code
  • Self-hosted and telemetry-free for enterprise data governance
02

File Tracker

Turn "reprocess everything" into "process the delta."

File Tracker is an incremental processing framework that detects exactly what has changed between runs, eliminating unnecessary work in AI and data pipelines. Instead of reprocessing every document, it identifies new, modified, and unchanged files so only the delta moves through the pipeline.

Why it matters

  • Process only new and modified files to reduce compute time and embedding costs
  • Detect changes accurately using modification time and SHA-256 hashing
  • Integrate easily into existing ETL, indexing, and RAG workflows through a CLI or Python API
03

FolderWatcher

Event-driven ingestion, so the system reacts to reality.

FolderWatcher automatically detects file creations, modifications, deletions, and moves, triggering downstream workflows the moment changes occur. Instead of relying on scheduled scans, it enables event-driven ingestion so pipelines stay up to date while minimizing unnecessary processing.

Why it matters

  • React instantly to file changes instead of waiting for scheduled re-indexing
  • Reduce compute by processing only the files that actually changed
  • Improve reliability with event debouncing, deduplication, and stability checks for production workloads
04

milvuslite-kit

Right-size vector search: start on a file, scale to a cluster.

milvuslite-kit simplifies semantic search by letting you define collections, schemas, and indexes declaratively in YAML while running on Milvus Lite. Start with a lightweight, infrastructure-free setup for development, then transition to Milvus Standalone or Distributed without changing your data model.

Why it matters

  • Build semantic search applications without provisioning a database cluster
  • Manage collections and indexes declaratively using version-controlled YAML
  • Scale seamlessly from local development to production Milvus deployments
05

Ask-Your-Markdown

Ask questions about a folder of Markdown files - and get answers grounded in your documents.

No database, no embeddings, no vendor lock-in. Instead of chunking files into a vector index, it organizes knowledge with the Open Knowledge Format (OKF) and lets an LLM browse the folder like a new employee - reading indexes, metadata, and sections before answering. Works with OpenAI, Azure AI Foundry, or fully offline.

Why it matters

  • Answer questions over your docs without setting up a vector database or embeddings
  • Get transparent, cited answers that show exactly which pages were used
  • Run fully offline with deterministic keyword search, or plug in an LLM when you need it

Latest Blog Posts

Articles on software engineering, cloud, AI, XR, and emerging technology, published on Medium.

Fetching latest articles…

Work Experience

A decade of building AI, cloud, and immersive systems, from research and prototypes to production.

Integrated Emerging Digital Tech Analyst

Shell India Markets Pvt Ltd

via L&T Technology Services (2018–2023) · via Randstad India Pvt Ltd (2023–2025) · Direct (2025–Present)

2018 – Present

Generated an estimated USD 18 million uplift through improved safety and operational efficiency of oil and gas assets by leveraging the right emerging digital technologies, including AI, Generative AI, HPC, and spatial computing.

Key Highlights

  • Researched emerging technologies and real-world market applications across AI, GenAI, Agentic AI, Digital Twins, and Spatial Computing, identifying high-potential enterprise use cases.
  • Evaluated emerging AI, XR, and cloud technologies through technical research, proofs-of-concept, and internal publications, assessing feasibility, maturity, and business value to shape enterprise innovation and future technology roadmaps.
  • Authored 6 internal technology reports and publications, synthesising research, experiment outcomes, and key learnings into actionable insights.
  • Presented emerging technologies, market trends, and PoC findings across teams, building awareness and upskilling colleagues on practical applications of new technologies.
  • Delivered enterprise AI solutions for engineering and technical knowledge management, including Retrieval-Augmented Generation (RAG), intelligent document processing, semantic search, and multi-agent workflows that improved access to enterprise knowledge.
  • Designed scalable cloud-native architectures and production-ready applications using Python, FastAPI, Microsoft Azure, and Azure OpenAI, enabling secure and maintainable enterprise AI solutions.
  • Improved large-scale document processing by leveraging High-Performance Computing (HPC) to parallelize extraction, preprocessing, embedding generation, and vector indexing for enterprise-scale workloads.
  • Led the development of Digital Twin and Spatial Computing solutions, including OpenUSD adoption strategies, immersive 3D visualization platforms, and Apple Vision Pro applications for engineering and hazard awareness.
  • Worked closely with business stakeholders, global engineering teams, and technology partners to define solution architectures, evaluate technologies, and successfully deliver enterprise digital transformation initiatives.
  • Created a visualisation platform that transforms 2D operational datasets into interactive 3D spatial environments, improving situational awareness by 72%.

Full-Stack Software Engineer

ASM Technologies Ltd

2017 – 2018
  • Developed VR training modules in Unity for automotive and semiconductor assembly/disassembly processes, reducing training time by 65% compared to conventional training methods.
  • Built immersive ADAS simulations in VR that allowed engineers to interact with, configure, and evaluate systems from multiple perspectives, improving technical understanding by 40%.
  • Designed and implemented REST APIs to connect VR and AR applications with backend systems, enabling reliable data exchange and real-time state synchronisation.
  • Developed web-based administration portals for managing XR content, monitoring user activity, and generating training reports for business stakeholders.
  • Deployed and maintained cloud-hosted applications on Microsoft Azure, leveraging App Service for application hosting and Blob Storage for efficient delivery of 3D assets.
  • Created interactive augmented reality product brochures and technical manuals that enhanced customer engagement and improved accessibility of complex product information.

Full-Stack Software Engineer

Axinovate Technologies LLP

2015 – 2017
  • Developed full-stack features for the Skilladda and Xucore e-learning platforms, spanning frontend interfaces, backend services, and database integration. Contributed 3D gamification features that enhanced learner engagement and user experience.
  • Served as the sole developer of a real-time event management platform featuring a multiplayer quiz system built with Node.js, WebRTC, and MySQL. Packaged the application for iOS and Android using Apache Cordova and deployed it at NVIDIA Gamer Connect events across Asia, achieving 95% attendee participation.
  • Designed and implemented REST APIs and administrative dashboards to support content management, user administration, and platform analytics.
  • Managed application hosting and cloud infrastructure on Microsoft Azure, utilising App Service for web application deployment and Blob Storage for media and content delivery.

Technical Skills

A cross-domain toolkit spanning the full stack, from frontend interfaces to cloud infrastructure and emerging technologies.

Frontend

User Interfaces & Experiences

HTML5 CSS3 JavaScript (ES6+) TypeScript React Next.js Tailwind CSS Responsive Design UI/UX Implementation Accessibility Bootstrap

Backend

APIs & Server-Side Logic

Python FastAPI Node.js PHP REST APIs API Design OpenAPI / Swagger Authentication & Authorization Backend Services Enterprise Integration

Cloud & DevOps

Infrastructure & Deployment

Microsoft Azure Azure App Services Azure Functions Azure Storage Docker Git GitHub CI/CD

AI & Generative AI

LLMs, RAG & AI Services

Generative AI Retrieval-Augmented Generation (RAG) Agentic AI Semantic Search LangChain LangGraph Model Context Protocol (MCP) MLflow LoRA QLoRA OpenAI / Azure OpenAI Hugging Face Ollama Milvus Vector Database Knowledge Graphs Neo4j Azure AI Foundry Reinforcement Learning

Emerging Technologies

Next-Gen & Immersive Domains

Technology Research Technology Evaluation Trend Analysis PoC & Experimentation Digital Twins NVIDIA Omniverse OpenUSD XR / Spatial Computing IoT Integration 3D Visualization Unity

What People Say

Recommendations from colleagues and managers on LinkedIn.

Hariharasudhan Ramani GM – Digital Innovation · Shell

Ela is the epitome of intellectual curiosity and humility backed by deep expertise in the XR tech stack. Very rarely does one come across someone with a sense of humor, a willingness to help, roll their sleeves and get stuck in and deliver in the face of crazy deadlines, Ela would be the first one to put his hand up when you have a task that requires all of the above, would do it with a smile, learn from work and end up excelling in whatever he takes on. True asset to the team and does everything he can to share his learnings to a larger audience with the intent to create a community around technology and business impact.

True pleasure to work with and would have him in my team in a heartbeat. Highly recommended!!!

Paul Wouters Manager – XR & Immersive Analytics · Shell

Elanthirayan Madhavan was part of Shell's XR & Immersive Analytics team that I managed in 2022, and I couldn't have asked for a more capable colleague. Balancing studies alongside his contributions, Elan was one of the team's most dependable contributors. His deep technical knowledge regarding VR and AR was always matched by his willingness to assist others. He never hesitated to share his expertise or lend a hand.

Elan was instrumental in advancing several VR projects. Whether he was refining a technical VR simulation or troubleshooting last-minute bugs, he tackled each task thoughtfully and with precision. He has that rare blend of technical smarts, creative problem-solving, and calm under pressure, and he does it all with a warm sense of humor.

But beyond the work itself, what truly stands out is how he fosters collaboration. Elan brings positive energy to meetings and offers feedback in a way that's both helpful and uplifting.

If you're seeking someone who can drive immersive experiences forward while being a steady, likable teammate, Elan is that person. I'd gladly work with him again and have no doubt any team would be fortunate to bring him on board.

Vibhor Aggarwal Manager – Visual & High Performance Computing · Shell

Ela was part of my team at Shell, and he quickly stood out as a fast learner with a strong passion for technology. Ela is naturally curious, proactive, hardworking and always eager to explore new tools and ideas. While working in XR, he was self-motivated to complete a Masters in Data Science and broaden his skills. He brings a wide range of technical knowledge, from XR to web technologies and cloud computing, and ability to interface with the business. Ela also worked effectively with third-party partners. Ela is a driven, well-rounded professional, and I'm confident he'll continue to make a meaningful impact wherever he goes.

Nikhil Davies Manager – Shell.ai · Shell

I had the pleasure of working with Ela during our time at Shell, and one thing that always stood out was his genuine curiosity and fearless approach to trying new things. Ela is the kind of person who doesn't just keep up with emerging technology; he actively seeks it out, dives in, and brings others along for the ride.

We collaborated on several initiatives, including delivering technical sessions at Universiti of Technology Brunei through the Shell.ai program. Teaching alongside Ela was a great experience; he has a natural talent for simplifying complex topics and engaging audiences with clarity and energy.

He also represented our team at global events, where he spoke passionately about the evolution of emerging technologies and the future of tech within Shell. One standout moment was when he delivered a live demo on XR technology, and not only did he explain it clearly, but he made it truly exciting and approachable for a broad audience.

Ela brings contagious energy and positivity to every team he's part of. He's collaborative, eager to learn, and never afraid to step into uncharted territory. Working with him was genuinely inspiring, and I'm excited to see the impact he'll continue to make in the tech space.

Hobbies & Life

A few things I enjoy when I'm not in front of a screen, or sometimes while I am.

📷 Photography
📚 Reading
🏍️ Bike Riding
🥾 Trekking
✈️ Travelling
🏋️ Fitness

Get In Touch

Open to new opportunities, collaborations, and interesting conversations across software engineering, AI, cloud, and emerging technology.

© Elanthirayan Madhavan. All rights reserved.