Hi, I'm Rohith

Full-Stack Developer building intelligent web applications with modern frameworks and AI. Passionate about creating elegant solutions to complex problems.

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About Me

A passionate developer who loves building things that live on the internet

I'm Anumalasetty V S Rohith, a Computer Science student at VNR Vignana Jyothi Institute of Engineering and Technology. I specialize in full-stack development with a deep interest in AI and machine learning applications.

From winning hackathons to publishing research, I thrive on turning ideas into real-world applications. I've built everything from AI-powered financial advisory platforms to civic micro-task systems with automation workflows.

When I'm not coding, you'll find me exploring new AI frameworks, contributing to open source, or mentoring juniors in web development through ISTE at my university.

B.Tech CSE

VNRVJIET, Hyderabad — CGPA: 8.95

2x Hackathon Winner

1st Place — Webathon 4.0 • First Runner-Up — Designathon 4.0

Research

EF-BER — KNN & Clustering paper

Based In

Hyderabad, India

Projects

Things I've built that solve real problems

Civix

Civic Micro-Task Platform

Built a civic micro-task platform with AI validation and automation workflows. Won 1st place at Webathon 4.0 hackathon. Real-world civic issue tracking with intelligent task routing.

Next.jsAI AgentsAutomationMongoDB

FinGuide

AI Financial Advisory Platform

AI-assisted financial advisory platform with loan prediction, SHAP explainability, FastAPI backend, and Next.js + MongoDB frontend. End-to-end intelligent financial guidance.

FastAPINext.jsSHAPMongoDBML

Amazon Product Insights

AI-Powered Review Analysis

AI-powered data pipeline and automation workflow using Apify, n8n, and LLM APIs for large-scale review sentiment analysis. Automated product insight extraction.

Apifyn8nLLM APIsPython

EF-BER

Water Hardness ML Framework

Research project combining K-Means and KNN to improve EDTA-based water hardness classification. Published supporting paper with methodology and findings.

PythonK-MeansKNNResearch

Traffix

ML Traffic Optimization

ML-based traffic optimization app. Won First Runner-Up at Designathon (2800+ registrations). Advancing from ideation to final round in a 24-hour hackathon.

Machine LearningReactPythonTraffic AI

F1hub

Formula 1 Data Explorer

Formula 1 data explorer with real-time race stats, driver standings, team performance analytics, and historical data visualization. Interactive dashboard for F1 enthusiasts.

ReactF1 APIVercelData Viz

Movie DB

Movie Discovery Platform

Movie discovery platform with search, ratings, reviews, and personalized recommendations. Browse trending films, watch trailers, and explore detailed movie information.

ReactTMDB APIVercelUI/UX

Stock Analyser

Market Insights Dashboard

Real-time stock market analysis tool with price tracking, trend visualization, and financial metrics. Monitor portfolio performance and market movements.

ReactFinance APIChartsAnalytics

Core Skills

Technologies and tools I work with

Languages

CC++PythonJavaJavaScriptTypeScript

Frontend

HTMLCSSReact.jsNext.jsTailwind CSSBootstrap

Backend

Express.jsNode.jsFastAPIREST APIs

Databases

MongoDBMongoosePostgreSQL

AI / ML

AI AgentsPrompt EngineeringLangChainLangGraphEF-BERPostHog

Tools & DevOps

GitGitHubMERN Stackn8nVercel

Experience & Achievements

Where I've worked and what I've accomplished

Experience

Intern

VNR OUTPASS

Current2026 – Present

Maintaining and improving backend systems as original development team member. Managing team transitions and ensuring system reliability.

Agentic AI (Semester-long Course)

P. Sai Teja / VNRVJIET

Completed2025

Completed semester-long program focused on agentic AI systems and automation workflows. Hands-on with LangChain, LangGraph, and multi-agent systems.

Achievements

🥇

1st Place — Webathon 4.0

24-hour hackathon. Built Civix, a civic micro-task platform with AI validation and automation.

Hover to view LinkedIn post

🥈

First Runner-Up — Designathon

Built Traffix, an ML traffic optimization app. Advanced from 2800+ registrations to the final round.

Hover to view LinkedIn post

📄

Research Paper Presentation

Presented: Integrating EFBER in error analysis of water hardness using KNN and clustering.

Hover to view LinkedIn post

⭐

TG EAPCET Rank: 2499

Secured rank 2499 out of 250,000 candidates in state engineering entrance exam.

Get in Touch

Have a project in mind or want to collaborate? Let's connect.

Location

Nizampet, Hyderabad

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© 2026 Anumalasetty V S Rohith