meet@jain:~$

~/hero — status: available for internships

AI Engineer Full Stack Developer Building Intelligent Software

Computer Science undergraduate specializing in AI, currently shipping multi-agent systems and full-stack products from Vadodara, India.

view workresume

~/about

I'm a Computer Science undergraduate specializing in Artificial Intelligence, focused on building software that combines AI with modern web technologies.

My focus isn't just learning algorithms — it's shipping complete products. I enjoy designing systems, integrating AI models, building scalable backends, and creating polished user experiences.

Over the past year I've explored everything from machine learning fundamentals to production-ready full-stack development using React, Next.js, FastAPI, PostgreSQL, Redis, Docker, and modern cloud platforms.

I'm currently preparing for software engineering internships and full-time opportunities where I can build products that create real-world impact, while continuously sharpening my engineering skills.

whoami
based_in
Udaipur, Rajasthan → Vadodara, Gujarat
education
B.Tech, CSE (AI) — Parul University, 2023–27
focus
AI/ML systems, RAG pipelines, full-stack products
status
Open to internships & full-time roles

~/stack

meet-jain-stack

├── languages

│ ├── Java

│ ├── Python

│ ├── JavaScript

│ ├── HTML/CSS

│ ├── MySQL

│ ├── MongoDB

│ └── Redis

├── frontend-backend

│ ├── React.js

│ ├── Next.js

│ ├── Node.js

│ ├── Express.js

│ ├── AngularJS

│ ├── FastAPI

│ └── Tailwind

├── ai-genai

│ ├── Machine Learning

│ ├── Deep Learning

│ ├── NLP

│ ├── Generative AI

│ └── RAG (LangChain/LangGraph)

├── cloud-infra

│ ├── AWS

│ ├── Azure

│ └── Docker

└── tools

├── Git/GitHub

├── Notion

├── Jira

└── Ollama

~/projects

problem

Modern AI chat applications often lose conversation context, are difficult to extend, and cram all functionality into a single monolithic assistant. ATLAS explores how a modular AI platform with persistent memory and multiple intelligent components can provide a more scalable foundation for future AI applications.

my role

Team project — in the final phase, I took ownership of resolving critical backend errors, stabilizing integration between services, and handling the complete production deployment.

architecture

  • ├─Frontend (React / Next.js)
  • ├─FastAPI Backend
  • ├─Authentication & API Layer
  • ├─AI Service Layer
  • ├─Redis — short-term / session memory
  • ├─PostgreSQL — persistent data
  • ├─Vector Database — planned long-term semantic memory
  • └─LLM Provider APIs

biggest challenge

Picking up the project in its final phase and diagnosing backend errors that were blocking a stable release, then getting PostgreSQL, Redis, environment variables, and Docker containers to all communicate correctly in production — that deployment debugging took focused, independent effort under time pressure to get the team's system genuinely production-ready.

stack

Next.jsFastAPIPostgreSQLRedisDockerLangChainLangGraphLangSmith

what's next

  • —Complete Retrieval-Augmented Generation (RAG)
  • —Multi-agent orchestration
  • —Long-term semantic memory with ChromaDB
  • —Voice interaction
  • —Streaming responses
  • —Advanced document understanding
  • —Role-based AI agents
  • —Improved observability and monitoring
sourcelive demo

~/contact

Have a role, a project, or just want to talk shop? I read every message myself.