SRIKAR VELUVALI

Full-Stack Developer & AI Enthusiast

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SRIKAR

VELUVALI

IVth Year @ KMIT

About Me

About - Srikar Veluvali
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👋 Hello, World!

I'm Srikar Veluvali, currently pursuing a Bachelor of Technology in Information Technology at Keshav Memorial Institute of Technology with a CGPA of 9.62.

I've worked as a Research Intern at Microsoft in Bengaluru. Previously, I was an HPC Software Engineering Intern at DRDL (DRDO).

I've built projects like Astor AI, a medical chatbot fine-tuned on Llama 3 with Retrieval-Augmented Generation achieving 400+ downloads, and a Heart Health Web App using the MERN stack and machine learning with Google's Gemini AI for personalized plans, nominated for the People's Choice Award in the Google Gemini API Developer Competition.

When I'm not coding or tinkering with tech, I enjoy solving problems on LeetCode (1122+ problems, rating 1713) or exploring the latest in generative AI.

Academic Performance

Overall CGPA

9.62

Branch Topper - All Semesters

Year 1

Sem 1:9.84
Sem 2:9.79
Year CGPA:9.81

Year 2

Sem 1:9.62
Sem 2:9.86
Year CGPA:9.74

Year 3

Sem 1:9.26
Sem 2:9.37
Year CGPA:9.31

Year 4

Sem 1:N/A
Sem 2:N/A
Year CGPA:N/A

Skills & Expertise

Work Experience

Research Intern

Microsoft | Jan 2025 - Jul 2025

  • •Researched optimization techniques to enhance the efficiency and scalability of kernels for large language models, minimizing latency and maximizing throughput
  • •Parsed, restructured, and improved the infrastructure of compiler intermediate code using graph transformations to boost performance
  • •Conducted performance profiling and benchmarking to validate improvements and ensure stability
  • •Collaborated with research and engineering teams to integrate optimized GPU kernel solutions into production workflows

CUDA Programming Intern

Defence Research Development Laboratory (DRDO) | Jun 2024 - Dec 2024

  • •Contributed to the development and optimization of CUDA programs for Computational Fluid Dynamics (CFD) simulations
  • •Achieved a 25% reduction in processing time and enhanced computational efficiency on an NVIDIA RTX 4080 GPU
  • •Collaborated with a multidisciplinary team of engineers to implement high-performance computing solutions
  • •Improved overall simulation speed and accuracy through optimization of CUDA code
  • •Worked on high-performance computing and parallel processing techniques to improve simulation efficiency

Featured Projects

PRISM: AI-Powered Learning Platform
$cat README.md
Built PRISM, a comprehensive learning platform that leverages AI to transform how students study and prepare. Features include RAG-based document Q&A, AI-powered quiz generation, virtual interview practice, interactive flashcards, PDF annotation, mind maps, and progress analytics. Supports multiple formats including PDFs, Word documents, text files, and YouTube videos.
$ls tech-stack/
ReactFastAPIGroq APIPineconeMongoDBTipTapSentenceTransformersJWTGoogle OAuth
$git remote -v
View on GitHub
$npm run deploy
View Live Demo
$
Searchly: AI-Powered Product Recommendation System
$cat README.md
Developed Searchly, an AI-driven e-commerce assistant built on a robust microservices architecture with an agentic workflow that orchestrates data scraping, embedding, retrieval, and UI interactions. Features include "Aivy" natural-language chat, personalized recommendations via HuggingFace embeddings and Pinecone vector search, real-time product data scraping, JWT-based authentication, and a responsive React/Tailwind UI.
$ls tech-stack/
FlaskPythonMongoDBPineconeHuggingFace EmbeddingsGroq APIBeautifulSoupReactTailwind CSS
$git remote -v
View on GitHub
$play demo.mp4
Watch Demo Video
$
Astor AI: A Chatbot for Medical Queries
$cat README.md
Built a medical chatbot using the Llama 3 model with Retrieval Augmented Generation (RAG) for more accurate responses and faster query handling, optimized for local system use.
$ls tech-stack/
React.jsFlaskLLMsGenerative AI
$git remote -v
View on GitHub
$play demo.mp4
Watch Demo Video
$
Heart Health Web Application
$cat README.md
Developed a MERN stack web app with Machine Learning for heart disease prediction, offering personalized diet and exercise plans and integrating Google's Gemini AI for diet suggestions.
$ls tech-stack/
MERNMachine LearningGoogle Gemini AIFlask
$git remote -v
View on GitHub
$play demo.mp4
Watch Demo Video
$
OCR Entity Extraction with BERT
$cat README.md
Developed an Optical Character Recognition (OCR) system using PaddleOCR combined with a fine-tuned BERT model to extract and classify entities from text in images.
$ls tech-stack/
Optical Character RecognitionBERTPythonMachine Learning
$git remote -v
View on GitHub
$
Battle Engine (Remaster)
$cat README.md
Developed a Pokemon-style RPG game using Java and Object-Oriented Programming concepts. Players engage in turn-based battles and progress through various levels with different strategies.
$ls tech-stack/
JavaOOPS
$git remote -v
View on GitHub
$
Dataset - Extraction, Analysis, and Visualization
$cat README.md
A Python-based data analysis project that explores the Video Game Sales Analysis dataset to answer 15 key questions related to video games. Presented at PRAKALP 2023.
$ls tech-stack/
PythonData AnalysisVisualizationTableau
$git remote -v
View on GitHub
$
LUNA and LEVI
$cat README.md
AI-powered navigation assistants. LUNA is voice-based, while LEVI is text-based, designed to assist users with website navigation, answering queries, playing music, and more.
$ls tech-stack/
AIPython
$git remote -v
View on GitHub
$
Battle Engine
$cat README.md
A text-based command-line game in C, simulating battles between the player and various bots. The game features strategic combat and a secret battle with a special challenge.
$ls tech-stack/
CCommand-line
$git remote -v
View on GitHub
$

Education

2020

Class 10

Dilsukhnagar Public School

2022

Class 12

Sri Chaitanya Junior College

Expected 2026

B.Tech - IT

Keshav Memorial Institute of Technology

Branch Topper

Achievements & Certifications

Consistently achieved the highest academic standing as the Branch Topper across all semesters.

Srikar Veluvali

1 / 8

Get in Touch

contact@srikar-terminal
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