AI/ML ENGINEER

Building intelligent systems that scale

AI/ML Engineer at Jaguar Land Rover, focused on GenAI systems, scalable ML infrastructure, and translate research into deployable products that solve real problems.

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Nandana Dileep
01 — EXPERIENCE
Jaguar Land Rover
AI/ML Engineer
2024.07 — Present
  • Currently part of a team building deep learning-powered test prioritization engine with JIRA integration for automated validation workflows
  • Deployed production ML models identifying underutilized test rigs, driving measurable cost reductions through optimized asset allocation
  • Implemented GNSS Factor Graph Optimization in C++ using GTSAM for precise vehicle localization. Presented research at JLR Tech Symposium
Amazon
Software Engineer Intern
2023.05 — 2023.07
  • Built serverless analytics service using AWS Lambda and Coral to detect latency bottlenecks in Alexa's voice processing pipeline
  • Engineered robust test automation framework with JUnit and Mockito, significantly reducing deployment rollback rates
02 — PROJECTS
Autonomous Agent

Autonomous CI Repair

Self-healing CI agent that detects failing builds, diagnoses issues from logs, generates fixes using multi-model LLM reasoning, and auto-commits verified solutions. Features hyper-fuzzy patching and deterministic guardrails for 90% reliability.

Agentic AI GitHub Actions Multi-Model LLM Python
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Developer Tool

RefractorIQ

Full-stack code quality analysis platform combining AST parsing for complexity metrics with Google Gemini for automated refactoring. Handles async analysis via Celery.

FastAPI React Celery AST
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Automation

AI Code Review Agent

GitHub App that automatically reviews pull requests using Llama-3. Analyzes diffs for bugs and security risks, posting inline comments directly to PRs.

Llama-3 GitHub API Webhooks
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Multimodal AI

Img2Tweet Pipeline

Multimodal system transforming images into viral-style tweets. Fine-tuned ViT-GPT2 for captioning with LoRA adapters for style transfer.

PyTorch LoRA Docker React
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RAG System

ChatPDF

Production RAG system for document querying with sliding window chunking, FAISS vector search, and conversational memory.

RAG FAISS LangChain FastAPI
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Robotics

GNSS Factor Graph Optimization

Precise vehicle localization using Factor Graph Optimization with GTSAM library. Presented technical findings at JLR Tech Symposium.

C++ GTSAM Graph Theory
03 — PRODUCTS

Products

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04 — Technical Stack

GenAI & LLMs

Llama-3 RAG Architectures LoRA Fine-tuning LangChain Vector Databases Prompt Engineering

Backend & Infrastructure

Python FastAPI Docker AWS Lambda/ECS Redis PostgreSQL

Core Engineering

C++ Data Structures Distributed Systems Graph Algorithms GTSAM System Design

Frontend

React TypeScript Tailwind CSS Modern Web APIs
05 — CONTACT

Let's Connect

Open to geeking out on tough technical problems, collab opportunities, and building AI products that actually scale.

Code github.com/nandanadileep
Professional LinkedIn Profile
Email nandanadileep29@gmail.com