I started my journey in Computer Science and Engineering, building a strong foundation in software development. Early in my career, working in the tech industry, I realized the transformative power of data and machine learning, which inspired me to pursue a Master’s in Data Analytics and deepen my expertise in AI-driven solutions.

Today, as a Full Stack Engineer (AI), I build practical, scalable AI applications that span Backend (Python, FastAPI, Node.js/Express ) Frontend (React.js, Next.js, TypeScript, Vite), databases, and cloud platforms like AWS and Azure. I work with LLMs such as LLaMA and OpenAI to create RAG systems, chatbots, and intelligent applications, contributing across the full stack from data pipelines to model deployment.

I thrive in collaborative, agile environments, focusing on delivering reliable, maintainable, and user-focused AI systems. My work blends software engineering and data science, translating complex problems into actionable, real-world solutions.

Outside of work, I enjoy exploring new tools and AI frameworks, experimenting with personal projects, and maintaining a balanced life through travel, outdoor activities, and discovering new cultures. My career reflects a continuous drive to learn, adapt, and create impactful AI solutions.

Jan 2026 - Present

Full-Stack Engineer (AI/ML)

iLet Technologies Limited, Dublin (Ireland)

I build production-grade AI systems focused on reliability, cost efficiency, and scalable backend design. I recently architected a multi-agent Text-to-SQL platform using a LangGraph CRAG pipeline that eliminates schema hallucinations and enforces strict tenant isolation with AST-level validation and RBAC injection, achieving sub-3s latency with zero data leakage. I design distributed AI backends (Django + FastAPI) for high-concurrency workloads and systematically reduce LLM dependence—cutting ~60% of calls, lowering costs by ~65%, and improving latency by ~60% through deterministic routing and optimized pipelines. My work emphasizes adaptive, self-healing systems, combining multi-layer memory, human-in-the-loop feedback, and automated SQL recovery to achieve ~85% failure resolution and continuously improve system performance in production environments.

Feb 2025 - Dec 2025

Software Engineer (AI/ML)

AtliQ Technologies (USA)

Built end-to-end ML and LLM applications using FastAPI, React, and XGBoost; improved model accuracy to 98.75%, delivered RAG systems, and shipped cloud-ready AI microservices adopted by underwriting teams.

Feb 2021 - July 2023

Software Engineer

Norbrik Pty Ltd (Australia)

I engineered automation solutions using React and FastAPI to digitize workflows, redesigned UI experiences with React, TypeScript, MUI, and GrapesJS, and improved SaaS architecture by separating the React frontend from a .NET Core backend. I optimized performance through Webpack 5 upgrades, code splitting, and modernized components, while also managing Agile sprints and collaborating with clients to deliver intuitive interfaces.

May 2020 - Dec 2020

Frontend Developer

Dibtech Pvt Ltd (Nepal)

I developed a full-featured restaurant POS system using React, supporting real-time orders, dynamic menus, inventory tracking, multi-method payments, and customer management with loyalty features. The responsive, user-friendly platform handles dine-in, takeaway, and delivery workflows, generates digital receipts, and can operate offline with automatic data sync.

© 2026 Aadarsh Kushwaha. All rights reserved.