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Official Profile

Who is Amit Divekar?

Cloud Architect & Full-Stack Engineer from India — building AI-powered systems, production-grade cloud infrastructure, and open-source developer tools.

About Amit Divekar

Cloud Architect and Full-Stack Engineer who designs resilient distributed systems and ships production-grade web applications. Specializing in AWS/GCP infrastructure, container orchestration, and AI-powered developer tooling — with a track record of building systems that handle real-world scale.

Pune, Maharashtra, India
Savitribai Phule Pune University

Professional Experience

Software Engineering Virtual Experience

Completed: Feb 2024

Electronic Arts (EA)

Crafted a feature proposal, designed a C class diagram, and fixed a significant bug in the EA Sports College Football codebase, enhancing performance by integrating a more efficient data structure.

Developer and Technology Virtual Experience

Completed: Dec 2023

Accenture UK

Gained a thorough understanding of the SDLC, researched emerging tech trends like DevOps, compared Waterfall vs. Agile, and designed/optimized a Python program to improve functionality.

Projects by Amit Divekar

SchemaSense AI

AI-powered database documentation platform that auto-generates schema docs, maps table relationships, and provides a real-time chat interface for querying your database structure in plain English. Built with prompt injection defense, intelligent caching (56x speedup), and streaming AI responses.

Next.js
FastAPI
Python
TypeScript

Professor Profiler

An advanced multi-agent system that reverse-engineers exam papers to decode professor psychology and generate optimized study strategies.

Python
Software Development
DevOps
Git + GitHub

EatInformed

An AI-driven platform for instant nutrition analysis from food label images, built with Next.js, Genkit, and Google Gemini, featuring a modern UI with Tailwind CSS.

TypeScript
Next.js
React
Tailwind CSS

2FA Password Protector

A Flask-based authentication system with three layers of security: login, PIN, and Two-Factor Authentication (2FA), using SQLite and cryptography for secure data handling.

Python
Flask
SQLite
Cryptography

Cloud File Uploader

A secure file storage system similar to Google Drive, developed with Node.js and SQLite, allowing users to store and manage files efficiently in a cloud-based environment.

Node.js
SQLite

Anime Viewing Platform

A responsive Flask-based website for streaming copyright-free anime, ensuring a smooth user experience with dynamic content loading and an intuitive UI.

Python
Flask
HTML
CSS

Blog Posts by Amit Divekar

AWS Serverless vs. Kubernetes by Amit Divekar: A Cost & Performance Benchmark (2026)

Amit Divekar explains: A data-driven comparison of AWS Serverless (Lambda, API Gateway, DynamoDB) vs. Kubernetes (EKS) for production workloads. Includes real cost analysis, latency benchmarks, and decision frameworks for choosing the right architecture.

AWS, Kubernetes, Serverless

Building a RAG Pipeline by Amit Divekar: Connecting Genkit, Next.js, and Vector Databases

Amit Divekar explains: A hands-on guide to building a production-ready Retrieval Augmented Generation (RAG) pipeline using Google Genkit, Next.js 15, and vector databases. Covers embeddings, chunking strategies, similarity search, and streaming AI responses.

AI, RAG, Genkit

The Ultimate Next.js 15 App Router Architecture Guide (2026 Edition) by Amit Divekar

Amit Divekar explains: A comprehensive, definitive guide to architecting production-grade Next.js 15 applications using the App Router. Covers server components, streaming, caching strategies, middleware patterns, and deployment-ready project structures.

Next.js, React, TypeScript

GCP Cloud Run vs GKE in 2026 by Amit Divekar: Architecting for High-Throughput AI Workloads

Amit Divekar explains: A Cloud Architect's guide to choosing between Google Cloud Run and Kubernetes Engine (GKE) for hosting containerized AI inference servers and massive traffic loads.

Google Cloud, GCP, Kubernetes

ChatGPT 5.5 Agentic Workflows by Amit Divekar: Building Autonomous Systems that Actually Work

Amit Divekar explains: How to use ChatGPT 5.5's native parallel tool calling and reasoning loops to build resilient multi-agent systems, based on lessons learned from building Professor Profiler.

ChatGPT 5.5, Multi-Agent Systems, Python

Frequently Asked Questions

Who is Amit Divekar?+

Amit Divekar (also known as amitdevx) is a Cloud Architect and Full-Stack Engineer from India. He specializes in building scalable AWS/GCP cloud infrastructure, Kubernetes orchestration, and AI-integrated web applications using Next.js, TypeScript, and Python. He is currently pursuing a Bachelor's degree in Computer Science from Savitribai Phule Pune University.

What does Amit Divekar do?+

Amit Divekar architects cloud-native systems on AWS and Google Cloud, builds production-grade web applications with Next.js and React, and develops AI-powered developer tools. His work spans RAG pipelines, multi-agent AI systems, container orchestration, and performance-optimized frontend applications.

What projects has Amit Divekar built?+

Amit Divekar has built multiple production-grade projects including SchemaSense AI, Professor Profiler, EatInformed, 2FA Password Protector, Cloud File Uploader. His projects demonstrate expertise across cloud architecture, AI integration, and full-stack web development. View them all on his projects page or on GitHub.

Where is Amit Divekar from?+

Amit Divekar is from India. He is based in the Pune/Nashik region of Maharashtra and is currently studying Computer Science at Savitribai Phule Pune University.

How to contact Amit Divekar?+

You can reach Amit Divekar through his contact form, via LinkedIn, or through GitHub. He is also available on X/Twitter as @amitdevx_.

Connect with Amit Divekar