Open to Opportunities

Hello, I'm Suraj S

I build |

Computer Science & Design undergraduate passionate about building end-to-end web applications and LLM-powered systems using modern technologies.

0+ Projects Built
0+ Certifications
0 CGPA
Suraj S — Full Stack & AI Engineer
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01.

About Me

I'm a Computer Science & Design Engineering student at S J C Institute of Technology, Chikkaballapur, pursuing my B.E. with a strong CGPA of 8.9/10. Expected graduation in May 2027.

My passion lies at the intersection of full-stack web development and artificial intelligence. I love building applications that leverage the power of LLMs, multi-agent architectures, and RAG systems to solve real-world problems.

I've had hands-on experience as a Full Stack Web Development Intern at ElevanceSkills, where I developed and deployed production features using the MERN stack. I thrive in agile environments and take pride in writing clean, maintainable code.

When I'm not coding, I'm exploring the latest in AI research, building IoT projects, or working on open-source contributions.

Education B.E. — CS & Design SJCIT • CGPA: 8.9/10
Location Bengaluru, India
Looking For Full Stack / AI Internship / Job
Email surajsatish33@gmail.com
02.

Experience

Full Stack Web Development Intern

ElevanceSkills · Remote

Apr 2026 — May 2026
  • ▹ Developed and deployed full-stack web features using React.js on the frontend and Node.js/Express.js on the backend, implementing RESTful APIs consumed by dynamic UI components.
  • ▹ Designed and integrated MongoDB schemas for user and content management modules, optimising query performance through indexing and reducing average read latency.
  • ▹ Collaborated in an agile remote environment, meeting all sprint deadlines and submitting deliverables ahead of schedule.
React.js Node.js Express.js MongoDB REST APIs
03.

Featured Projects

MediScan AI

Three-service medical imaging platform that combines deep learning with clinical interfaces. Upload chest X-rays, brain MRIs, bone X-rays, or CT scans and receive instant AI predictions with Grad-CAM visual explanations and clinical reasoning.

Multi-model DenseNet-121 for pneumonia, tumor, fracture & COVID
Grad-CAM heatmaps & SHAP-style region analysis
React 19 Express.js FastAPI PyTorch MongoDB

Global Crisis Detection System

Multi-agent AI platform where specialized agents monitor global news, geopolitical conflicts, sanctions, and tariffs to analyse downstream impact on trade and commodity markets.

Multi-agent architecture with specialized roles
Structured decision reports across economic dimensions
Python LangChain LLMs RAG Multi-Agent

Alerto — IoT Accident Detection

IoT device detecting vehicular collisions via accelerometer data and autonomously dispatching real-time GPS coordinates to emergency contacts via SMS/call.

Real-time collision detection via accelerometer
Manual override to suppress false alerts
Arduino Embedded C GPS IoT

Knowledge Decay Tracker

Full-stack AI learning management system enabling students to upload study materials (PDF/images), receive AI-generated quizzes and summaries, and track revision schedules with an analytics dashboard.

File ingestion pipeline & LLM-based quiz generation
Analytics dashboard & revision tracking
React.js Node.js Express.js MongoDB Groq API
CASE STUDIES

Real-world problems solved
with clean architecture.

Deep dives into projects that tackle genuine challenges — from AI-powered learning systems to IoT safety devices. Each case study walks through the problem, delivery approach, and measurable impact.

3 CASE STUDIES
2 LIVE DEMOS
1 IOT BUILD
MediScan AI
CASE STUDY 1

AI-powered medical image diagnostics

SELECTED WORK AI-DRIVEN HEALTHCARE

MediScan AI

Full-stack medical imaging platform combining deep learning (DenseNet-121) with an intuitive clinical interface. Upload chest X-rays, brain MRIs, bone X-rays, or CT scans — and receive instant AI predictions with Grad-CAM visual explanations and clinical reasoning.

CHALLENGE

Radiologists and clinicians face massive workloads, requiring tools that can fast-track triage and highlight key localized areas of concern in medical scans.

DELIVERY

Developed a microservice architecture consisting of a React frontend, an Express orchestration server, and a FastAPI inference service running PyTorch DenseNet-121 models with Grad-CAM and SHAP explainability pipelines.

IMPACT

Enabled instant, interpretable AI diagnostics with clear visual attention heatmaps, automated finding summaries, study history tracking, and downloadable clinical PDF reports.

TECH STACK
REACT 19 EXPRESS.JS FASTAPI PYTORCH MONGODB
Multi-model image inference Grad-CAM heatmap localization Interactive clinical reports & PDF exports
Global Crisis Detection System
CASE STUDY 2

Multi-agent geopolitical intelligence

SELECTED WORK AI MULTI-AGENT SYSTEM

Global Crisis Detection System

Multi-agent AI platform where specialized agents monitor global news, geopolitical conflicts, sanctions, and tariffs to analyse downstream impact on trade and commodity markets.

CHALLENGE

Manually tracking geopolitical events across multiple sources is slow, error-prone, and fails to connect cascading effects across economic dimensions.

DELIVERY

Designed a multi-agent architecture with LangChain, where each agent specializes in a domain — news, conflicts, sanctions — using RAG pipelines and LLM reasoning.

IMPACT

Produced structured decision reports spanning trade, commodities, and policy, demonstrating autonomous AI analysis capabilities across complex, multi-dimensional datasets.

TECH STACK
PYTHON LANGCHAIN LLMs RAG MULTI-AGENT
Autonomous agent orchestration Cross-domain analysis Structured decision reports
Alerto — IoT Accident Detection
CASE STUDY 3

IoT vehicular safety system

SELECTED WORK IOT & EMBEDDED SYSTEMS

Alerto — IoT Accident Detection

IoT device detecting vehicular collisions via accelerometer data and autonomously dispatching real-time GPS coordinates to emergency contacts via SMS/call — potentially saving lives in critical moments.

CHALLENGE

Road accidents in remote areas often go unreported for critical minutes. Victims may be unconscious and unable to call for help, making automated detection essential.

DELIVERY

Built an Arduino-based system with accelerometer sensors for real-time collision detection, GPS module for location tracking, and GSM module for automated emergency SMS/calls.

IMPACT

Created a low-cost, reliable safety device with manual override for false alerts, demonstrating how embedded systems can directly address life-threatening real-world problems.

TECH STACK
ARDUINO EMBEDDED C GPS MODULE GSM MODULE IOT
Real-time collision detection Automated emergency alerts Manual override system
04.

Technical Skills

Languages

Core programming languages I build with

Java
Python
JavaScript
SQL

Frontend

UI frameworks, styling, and browser-focused tooling

React.js
HTML
CSS
JavaScript
Tailwind CSS
Vite
Bootstrap

Backend

Server-side runtime, frameworks, and languages

Node.js
Express.js
Python
Flask
REST APIs
Java
Spring Boot
FastAPI
PHP

AI / ML

Artificial intelligence, agents, and machine learning

RAG Systems
LLM Integration
AI Agents
Machine Learning

Databases

Data storage and query systems

MongoDB
MySQL
Supabase

Development Tools

IDE, version control, testing, and design

VS Code
Antigravity
Postman
IJ IntelliJ IDEA
Git
GitHub
Codex
Figma
Jupyter
Stripe
EmailJS

Deployment

Hosting, CI/CD, and deployment platforms

Vercel
Netlify
Railway
GitHub Pages
05.

Certifications

OCI 2025 Certified Generative AI Professional

Oracle University

Oct 2025

Oracle AI Vector Search Certified Professional

Oracle University

Oct 2025

OCI 2025 Certified AI Foundations Associate

Oracle University

Oct 2025

Data Structures and Algorithms using Java

NPTEL, IIT Kharagpur

Jul — Oct 2025

Complete Web Development Bootcamp

Udemy — Hitesh Choudhary

Completed

Parallel Programming Concepts

openHPI · Hasso Plattner Institute

2026

Let's Connect

Have a project in mind or want to collaborate? Get in touch!

Connect With Me

Location: Bengaluru, India

Status: Software Developer / Engineer