Headline

Software Engineer | Python • FastAPI • PostgreSQL • Redis • Generative AI | Ex-Intern @ Armakuni

About

I enjoy designing backend systems that are modular, scalable, and maintainable while continuously exploring how AI can be integrated into real-world software applications. Over the past year, I've worked across backend engineering, distributed systems, and Generative AI, building applications involving authentication, asynchronous processing, background task orchestration, search systems, Retrieval-Augmented Generation (RAG), and LLM-powered workflows. Along the way, I've developed a strong appreciation for clean architecture, thoughtful API design, and writing maintainable code. I'm particularly interested in Python backend development, system design, and building AI-powered products that solve practical problems. I enjoy turning ideas into real applications, continuously learning new technologies, and collaborating with people who are passionate about building impactful software.

Location

Ahmedabad

AI stack

claude code

gemini

grok

langchain

ChatGPT

Work experience

Software Engineer Intern at Armakuni, Jan 2026 - Jun 2026 · 5 mo, Ahmedabad, Gujarat, India, During my six-month internship at Armakuni, I worked on backend engineering and AI-powered applications, gaining hands-on experience in designing scalable APIs, building production-ready backend systems, and developing intelligent software solutions. Throughout the internship, I contributed to projects ranging from high-concurrency backend platforms to LLM-powered applications while strengthening my understanding of software architecture, distributed systems, and engineering best practices. Key Contributions : • Developed "CineBook", a scalable movie ticket booking backend with RBAC, OAuth2, Elasticsearch, and concurrency-safe seat booking. • Built "Prompt2SQL", an AI-powered Text-to-SQL application using LLMs, dynamic schema retrieval, SQL validation, and conversation memory. • Developed production-ready backend capabilities including asynchronous APIs, Celery-based background processing, Redis integration, Docker containerization, AWS S3 storage, and automated testing. • Built "FlashRead", an AI-powered newsletter aggregation system with scheduled scraping and email automation. • Contributed to the ingestion and clustering agents of the "Boomerang" hackathon project built on AWS Bedrock Agentcore. Technologies : Python • FastAPI • PostgreSQL • Redis • Docker • Celery • AWS • Prompt Engineering • RAG • LLMs • Pytest

Education

Master's degree, Information Technology, Dhirubhai Ambani University

Bachelor's of Computer Applications, St. Xavier's College, Ahmedabad

Public links

github: https://github.com/jaymin4724