Grounded in systems thinking
My Data Science and Artificial Intelligence foundation helps me reason about data, models, and software architecture as one connected system rather than isolated layers.
Full-Stack Engineer / Applied AI
I’m Lakshmi Ajay, a product-minded engineer with 2+ years of experience shipping web, mobile, backend, and AI-powered systems - from polished React interfaces to FastAPI services and cloud deployments.
I take products from interface to API to deployment, with AI used where it creates measurable value.
About
I work across the full product surface - interface, API, data, automation, and deployment - while keeping the user experience and business outcome in view.
My Data Science and Artificial Intelligence foundation helps me reason about data, models, and software architecture as one connected system rather than isolated layers.
Client work across India and the UK taught me to own outcomes: clarify the problem, design the architecture, ship the product, debug production, and communicate clearly with stakeholders.
“I want the product to feel simple because the engineering underneath is thoughtful.”
I use LLMs, retrieval, extraction, and automation to remove real work or unlock useful capability - never simply to add an AI label to a product.
How I Work
I create calm in product ambiguity through architecture, documentation, APIs, and systems that stay easy to reason about as they grow.
Client work across ERP, HR tech, mobile learning, and infra tooling has taught me to move quickly without sacrificing maintainability.
I use AI where it reduces real work: parsing, automation, workflow acceleration, and product capability.
A steady, disciplined approach helps me stay focused through ambiguity, iteration, and delivery pressure.
Experience
I optimize and maintain a production music application across Firebase-backed features, media delivery, and mobile releases.
I built core modules for an AI-assisted Infrastructure-as-Code platform that automates Terraform generation and execution.
I developed a production-grade learning application with a React Native client, FastAPI services, and PostgreSQL.
I delivered a school ERP platform with scalable APIs, maintainable schema design, and automated release workflows.
I built an HR leave management system focused on usability, workflow clarity, and production reliability.
I started from the security side of software, using Azure Sentinel, KQL, and automated playbooks to accelerate threat response.
Capabilities
React, Next.js, React Native, Expo, TypeScript, Tailwind CSS, NativeWind
FastAPI, Node.js, Express, PostgreSQL, MySQL, Supabase, Redis, REST APIs
LLM applications, RAG, LangChain, LangGraph, LlamaIndex, vector search, AI agents
Azure, AWS, Docker, Kubernetes, Terraform, Firebase, GitHub Actions, CI/CD
Selected Work
Featured project
An LLM-powered platform for querying documents through chat, combining OCR, API design, and full-stack delivery into a focused knowledge interface.
Research + engineering
Designed a GPU-accelerated LSTM-GRU intrusion detection model in PyTorch and explored multiple architectures to improve accuracy.
Browser productivity
I built a Chrome extension for intelligent tab management with cloud sync, smart grouping, duplicate detection, and persistent sessions.
About Me
Outside engineering, my background in Carnatic music and creative discipline reflects the same qualities I bring into software: discipline, patience, attention to detail, and long-term craft.
Credibility
Beyond product work, I bring published research, academic strength, technical certifications, and achievements outside the classroom that reflect consistency and long-term craft.
Research in cybersecurity, formal training in machine learning, strong academic performance, and recognized achievements in music and competition all reinforce the same story: disciplined growth.
ICFAI Foundation for Higher Education
B.Tech in Data Science and Artificial IntelligenceContact
I’m open to Full-Stack Engineer and Applied AI opportunities where I can own meaningful product problems from interface to deployment.