Open to Software Engineering Opportunities

Full-Stack Developer · AI & LLM Engineer

Building thoughtful software with Full-Stack Engineering & AI.

Computer Science engineer focused on building scalable web applications, AI-powered products, RAG systems, and practical machine learning solutions.

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const developer = {
focus: ["Full-Stack", "AI", "LLMs"],
building: "useful software",
mindset: "learn → build → improve",
available: true
};
// ship with intent.
TypeScript · production mindset

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Projects

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DSA Problems

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AI/ML Models

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LLM Applications

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GitHub Repositories

About

A little about me

I’m a Computer Science engineering student focused on building production-oriented full-stack applications and AI-powered systems. I enjoy working across product interfaces, backend architecture, retrieval systems, and practical machine learning.

My strongest work sits where product engineering and intelligent systems meet: building reliable interfaces, APIs, data flows, retrieval pipelines, and deployment workflows that solve real problems.

Next.js / ReactTypeScriptNode.js / ExpressPythonPostgreSQL / MongoDBLangChain / LangGraphDocker / CI/CD

Currently focused on

Full-Stack Engineering
AI Engineering
LLM Applications
RAG Systems
System Design
MLOps

Selected Work

Systems built beyond the tutorial.

Projects where I explored real-world product engineering, AI systems, and scalable architecture.

Full-Stack E-Commerce

GoCart

01

A modern multi-vendor marketplace with buyer, seller, and admin workflows, secure payments, AI-assisted product creation, and a scalable PostgreSQL backend.

Next.jsReactTypeScriptRedux ToolkitPrisma+5

AI Assistant

J.A.R.V.I.S. OS v4.0

02

An autonomous voice-enabled AI assistant combining LLMs, RAG, web search, voice synthesis, and desktop automation.

PythonLangChainGroqFAISSSentence Transformers+2

Cloud Platform

Storage Hub

03

A modern cloud storage platform for uploading, organizing, searching, sharing, and analyzing files.

Next.jsReactTypeScriptAppwriteTailwind CSS+3

LLM / RAG

RAG Chatbot

04

An end-to-end document intelligence system that lets users upload documents and interact with them through Retrieval-Augmented Generation.

PythonFastAPIStreamlitLangChainGroq+4

AI / RAG Systems

HYBRID-RAG

05

An advanced retrieval system combining vector search, knowledge graphs, and LLM-powered query routing.

PythonGeminiChromaDBNetworkXKnowledge Graphs+1

Full-Stack AI

AI Resume Builder

06

An AI-powered platform for creating, enhancing, managing, and publishing professional resumes.

ReactViteNode.jsExpressMongoDB+4

Machine Learning & MLOps

ML Pipeline with CI/CD

07

An end-to-end machine learning pipeline with automated training, Dockerization, CI/CD, and AWS deployment.

PythonScikit-LearnDockerGitHub ActionsAWS EC2+4

Capabilities

Technical Expertise

A practical toolkit spanning product interfaces, backend systems, data, AI, and delivery.

EXPERTISE / FRONTEND

Frontend

ReactNext.jsTypeScriptTailwind CSSRedux ToolkitResponsive UI Designshadcn/uiFramer Motion

Process

How I Build

01

Understand

Start with the problem, users, constraints, and desired outcome.

02

Design

Think about architecture, data flow, APIs, maintainability, and scalability.

03

Build

Turn ideas into clean, tested, production-oriented software.

04

Improve

Measure, debug, iterate, and continuously learn.

Journey

Built one layer at a time.

A progression from programming fundamentals to full-stack products and AI-powered systems.

  1. Started Programming Journey

    C++, programming fundamentals, OOP, problem solving.

  2. Data Structures & Algorithms

    Solved 500+ DSA problems.

  3. Web Development Foundations

    HTML, CSS, JavaScript and responsive interfaces.

  4. MERN Stack Development

    React, Node.js, Express and MongoDB.

  5. Backend & Cloud Development

    REST APIs, authentication, databases, Redis and deployment.

  6. Machine Learning Exploration

    Python, ML, data preprocessing, training and evaluation.

  7. LLMs & RAG Systems

    LLMs, embeddings, vector databases, LangChain and RAG.

  8. Building Full-Stack AI Applications

    AI applications, RAG systems, AI assistants, MLOps and system design.

    Current focus

Evidence

Achievements

Concrete progress across problem solving, product engineering, AI systems, and delivery.

500+ DSA Problems Solved

Consistent practice across core data structures and algorithms.

7+ End-to-End Projects

Products built across frontend, backend, data, deployment, and AI.

AI & LLM Applications

Practical assistants and workflows powered by language models.

RAG & Vector Search Systems

Document retrieval, embeddings, graphs, and semantic search.

CI/CD & Cloud Deployment

Containerized delivery pipelines and cloud deployment workflows.

Continuous Learning

A steady progression from fundamentals to production-oriented systems.

Developer Presence

Build in Public

Code, problem solving, and professional updates—shared on the platforms where I learn and build.

Surajgupta001
View profile

gocart

Full-stack product

JARVIS

AI assistant

rag-chatbot

Document intelligence

HYBRID-RAG

Hybrid retrieval

Contact

Let’s build something useful.

Have a project, opportunity, or idea worth exploring? I’d be happy to hear about it.

surajgupta7070031833@gmail.com

India · Remote Friendly

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