Karthikeya Veeramallu

hi, i'm Karthikeya

  • full-stack engineer
  • genai builder
  • sde intern, vishwam / iit
  • head of technova
  • cse, class of '27

I build production web apps and applied-AI tools, from patient-registration flows on a healthcare platform to RAG assistants that answer with sources.

download resumebased in hyderabad

Karthikeya Veeramallu smiling, in a black suit and white shirt

quick facts

internships
2
projects built
5
students mentored
100+
availability

open to job opportunities

selected work

view all projects
  1. NNRG AI Campus Assistant

    A campus chatbot that answers from institutional knowledge, with sources.

    A RAG chatbot on LangChain, ChromaDB and FastAPI. Distance-aware confidence scoring filters out low-relevance retrievals, so answers stay grounded.

    • Python
    • LangChain
    • ChromaDB
    • RAG
    • FastAPI

    read case study: NNRG AI Campus Assistant

  2. WhatsApp AI Website Builder

    Describe a website in WhatsApp; get deployable code back.

    A conversational builder: WhatsApp Cloud API webhooks and Node.js manage multi-turn state, and Gemini turns the conversation into deployable HTML, CSS and JS.

    • Node.js
    • Gemini API
    • WhatsApp Cloud API

    read case study: WhatsApp AI Website Builder

  3. AgriBridge

    A farmer-to-buyer marketplace with AI crop recommendations.

    A full-stack marketplace (Next.js, FastAPI, PostgreSQL) for farmer-to-buyer transactions and market pricing, with REST APIs for listings, orders and AI-driven recommendations.

    • Next.js
    • FastAPI
    • PostgreSQL
    • AI

    read case study: AgriBridge

  4. Voice Clarity AI

    Speech correction, designed accessibility-first for elderly users.

    A React 19 + TypeScript app that uses Gemini to analyze pronunciation and grammar, with Firebase Authentication and Firestore for persistence.

    • React 19
    • TypeScript
    • Vite
    • Gemini API
    • Firebase

    read case study: Voice Clarity AI

  5. Saarthi AI: Citizen Platform

    Government approvals, turned into step-by-step roadmaps.

    A citizen-assistance platform: LLM intent detection and RAG handle government-approval queries, and a DAG-based workflow engine generates multi-step procedural roadmaps.

    • Python
    • LangChain
    • ChromaDB
    • RAG
    • DAG Engine

    read case study: Saarthi AI: Citizen Platform

about me

I’m a final-year Computer Science & Engineering student at Nalla Narasimha Reddy Engineering College in Hyderabad. I’m also a software engineering intern on the Vishwam / IIT Collaborative Program, working on eHRS, a production healthcare platform, across React UI, FastAPI endpoints and Playwright end-to-end tests.

Outside the internship I build applied GenAI:

  • retrieval-augmented assistants with LangChain and ChromaDB
  • a WhatsApp bot that turns a chat into a website with Gemini
  • a speech-correction app designed for elderly users

I also head TechNova, my college’s five-domain technical club, where I mentor 100+ students.

more about me

currently

building
eHRS, a production healthcare platform, on the Vishwam / IIT Collaborative Program

education

B.Tech, Computer Science & Engineering

Nalla Narasimha Reddy Engineering College, Hyderabad

– CGPA 7.98

by the numbers

cgpa
7.98
merge requests reviewed
10+
training records
5,000+

toolbox

  • Languages
  • Frontend
  • Backend
  • AI / GenAI
  • Databases
  • Testing & Tools

experience & leadership

  1. Software Engineering Intern

    Vishwam / IIT Collaborative Program · Hyderabad, India

    – Present

    • Built React UI components and FastAPI REST endpoints for patient registration and queue management on eHRS, a production healthcare platform.
    • Restored CI pipeline stability for the team by fixing hook failures and state-machine test breakages.
  2. AI & ML Model Design Intern

    Indian Servers

    · 2 months

    • Built supervised classification models on 5,000+ records, with feature engineering and structured preprocessing pipelines.
    • Automated NLP preprocessing (tokenization, normalization and feature extraction) to feed downstream classifiers.
  3. Head

    TechNova Technical Club, Nalla Narasimha Reddy Engineering College · Hyderabad, India

    Present

    • Lead a five-domain technical club (AI/ML, Web Dev, Cloud, IoT and Cybersecurity), mentoring 100+ students on skills, projects and career direction.
    • Organized technical workshops and cross-team collaborations, and served as Department Coordinator for the Annual Technical Fest.

skills & tools

Languages

  • Python
  • JavaScript (ES6+)
  • TypeScript
  • SQL
  • C

Frontend

  • React.js
  • Next.js
  • Vite
  • HTML5
  • CSS3
  • Tailwind CSS

Backend

  • Node.js
  • Express.js
  • FastAPI
  • REST APIs

AI / GenAI

  • LangChain
  • RAG
  • ChromaDB
  • Gemini API
  • LLMs
  • NLP
  • Machine Learning

Databases

  • PostgreSQL
  • MongoDB
  • Firebase

Testing & Tools

  • Playwright
  • Git
  • Linux
  • Vercel
  • CI/CD
  • Python
  • JavaScript (ES6+)
  • TypeScript
  • SQL
  • C
  • React.js
  • Next.js
  • Vite
  • HTML5
  • CSS3
  • Tailwind CSS
  • Node.js
  • Express.js
  • FastAPI
  • REST APIs
  • LangChain
  • RAG
  • ChromaDB
  • Gemini API
  • LLMs
  • NLP
  • Machine Learning
  • PostgreSQL
  • MongoDB
  • Firebase
  • Playwright
  • Git
  • Linux
  • Vercel
  • CI/CD

certifications & awards

  • Best Stall Award

    award

    among 20+ teams

    Inter-department technical exposition, NNRG

  • Programming Fundamentals

    certification

    NxtWave

  • Frontend Development

    certification

    NxtWave

let's build something.

open to job opportunities

email

Karthikeya Veeramallu

full-stack engineer

based in
Hyderabad, India
Karthikeya Veeramallu

open to job opportunities

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