ADI.(AI Eng)
GenAI × Data Engineering. I design agentic systems on Google Cloud.
From the kid who wanted to build JARVIS — to the engineer who builds it.
Selected Work
Projects
A mix of Google-shipped agents, hackathon builds, and personal projects.
Project Plumber
A conversational data engineering agent built with Google ADK. Engineers describe their pipeline in plain English — Plumber creates and deploys Dataproc (Spark), Dataflow (Beam), and dBT workloads automatically. A Master Orchestration Agent coordinates four specialized sub-agents: GitHub Agent for version control, SQL Translation Agent for converting Hive/Teradata/Oracle to Google SQL with BigQuery validation, and dedicated Dataproc/Dataflow agents.
Discovery & Design Agent
An AI agent that automates the most time-consuming phase of Enterprise Data Warehouse (EDW) modernisation: requirements gathering and Technical Design Document (TDD) generation. The Questionnaire Agent ingests meeting notes, SOW documents, and PDF artifacts, answers a structured set of architecture questions, and passes verified outputs to the TDD generation pipeline — eliminating rounds of manual architect review.
Educators Assistant
A full-stack AI platform built during the Google Apprentice Hackathon 2025 to address the administrative overload facing Indian teachers. The platform automates question bank creation, syllabus design, lesson concept generation, and student progress tracking — using Gemini AI for content generation, Firebase for auth, MongoDB for persistence, and Cloudinary for media. Won the hackathon.
Resume Master
An open-source alternative to paywalled resume builders. Transforms structured professional data into ATS-optimised LaTeX resumes, dynamically tailored per job description — paste a JD, the AI restructures your content to match it. Includes a built-in job application tracker and Gemini-powered resume quality feedback. Built because the existing tools limited information or hid exports behind paywalls.
CookPal
A food waste reduction web app designed for IoT deployment. Point a camera at your fridge — Clarifai's object detection identifies the ingredients, VertexAI suggests recipes you can make with what you have, and the app returns nutritional info including calories and allergen warnings. Dual input: camera or manual text entry.
Eco-Quest
A gamified mobile app to encourage sustainable waste management. ML models classify waste from camera input, and the app rewards correct disposal with in-game achievements — making sustainability behaviour addictive rather than chore-like. Built with Python for ML backend, Kotlin for the Android UI.
Technical Skills
The stack behind the work
Hover any node to identify the skill. Drag to rearrange. Cross-category edges show how these tools connect in practice.
View all verified credentialsGoogle Cloud Platform
AI & Agents
Languages
Frontend
Backend & DevOps
Certifications
Get In Touch
Let's build something.
Reach out if you want to talk about AI, Google Cloud, or something interesting you're building. I read everything.