Available for new opportunities

Sai Sreekar Sarvepalli

I build intelligent, full-stack applications that are scalable, responsive, and data-driven. Passionate about creating seamless user experiences powered by modern web technologies and real-world AI.

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About Me

Full-stack engineer and AI/ML practitioner passionate about building intelligent, scalable systems.

Hello! I'm Sai Sreekar

I'm a full-stack engineer and AI/ML practitioner passionate about building intelligent, scalable systems that bridge real-world problems with cutting-edge technology. With experience across React, Node.js, Python, Scala, and cloud platforms like AWS, I've worked on everything from geospatial analytics platforms and distributed microservices to large language model fine-tuning and multi-agent AI pipelines.

When I'm not engineering, you'll find me experimenting with new ML architectures, contributing to hackathons, or refining end-to-end data workflows for intelligent applications. I thrive in fast-paced environments, love working across the stack, and enjoy bringing thoughtful, user-focused products to life.

Available for impactful opportunities

Open to remote roles or hybrid teams working on AI, infra, or product engineering

What I Bring to the Table

Full Stack Development

Building scalable applications with modern technologies across the entire stack

AI/ML Engineering

Developing intelligent systems and fine-tuning large language models

Cloud Architecture

Designing and implementing scalable cloud solutions on AWS

Performance

Optimizing systems for high performance and efficiency

Collaboration

Thriving in fast-paced environments and cross-functional teams

Problem Solving

Bridging real-world problems with cutting-edge technology

Skills & Technologies

React

Node.js

Python

Scala

AWS

TypeScript

JavaScript

Machine Learning

Distributed Systems

Microservices

LLMs

Data Engineering

Geospatial Analytics

Full Stack Development

Cloud Architecture

Featured Projects

A collection of my recent work showcasing my skills in front-end development, UI/UX design, and modern web technologies.

Featured

Live Demo

ML-Docs-Copilot

AI assistant for PyTorch, MLflow, AWS SageMaker, Kubernetes, and Docker. Features real-time responses, source citations, and code examples powered by advanced AI models and semantic search. Built with Next.js, FastAPI, and Qdrant Cloud.

Next.js

FastAPI

Gemini API

Qdrant Cloud

Semantic Search

RAG

Featured

Code

StudyBuddy

A comprehensive document management and processing application with advanced AI capabilities. Features include local open-source model support via OLLAMA and Gemini API integration, achieving 90% accuracy through RAG architecture.

React

Node.js

OLLAMA

Gemini API

RAG

Semantic Search

Featured

Code

Chicago Crime Analysis

Interactive crime data visualization and analysis tool for understanding crime patterns in Chicago. Features map-based visualizations, year-wise filtering, and neighborhood analysis with geospatial data processing.

Scala

React

Leaflet.js

Node.js

PostgreSQL

PostGIS

Featured

Code

InsureSearch

An AI-powered chatbot leveraging Llama3 model to help university students navigate complex insurance documents. Features include document upload support and 24/7 availability for instant assistance.

Llama3

NLP

AI Chatbot

Document Processing

Featured

Code

QuesGen

A real-time question generation system that transcribes audio from online courses/lectures to text and generates various types of questions (MCQ, FAQ, Paraphrase, Boolean). Features include direct question generation from PDF files and YouTube links.

Python

NLTK

Spacy

BERT

PyTorch

Flask

Code

PRRP Graph Partitioning

A reimplementation and extension of spatial regionalization methodologies, featuring a novel module for implementing the PRRP algorithm in graph data structures. Demonstrates the versatility of PRRP in both spatial and graph-based representations.

Python

Graph Theory

Statistical Analysis

Spatial Data

Live Demo Code

DEV-NFT

An open-source NFT marketplace that won a $5000 grant from Filecoin-Encode. Built with modern web3 technologies and best practices.

Next.js

Solidity

IPFS

Polygon

Web3.js

Code

BEAST Data Explorer

Enhanced visualization options for geospatial data through AI integration and complex statistics calculation using Apache Spark. Improved data exploration capabilities for big data analysis.

Scala

Apache Spark

React

AI/ML

Data Visualization

Code

VitHub

A secure student portal for file sharing, designed to facilitate easy and safe document exchange within educational institutions.

React

Node.js

Security

File Sharing

Want to see more of my work?

View All Projects on GitHub

Experience

My professional journey in front-end development, building scalable web applications and user experiences.

Software Developer Intern

MAPSOL GEOSPATIAL SOLUTIONS INC.

Full-time

March 2025 - Present

Beaumont, CA

Working on geospatial data visualization and processing solutions, focusing on performance optimization and scalable architecture.

Key Achievements:

Integrated UCR STAR raster rendering algorithm using Apache Spark, BEAST libraries, and MongoDB, improving tile rendering performance by 60% for multi-GB datasets
Implemented dynamic popup placement logic to improve UX and retention by 30% based on dataset geometry and screen-space heuristics
Designed and deployed REST APIs and modular backend services on AWS (EC2, S3), using microservice architecture for scalable visualization workflows
Collaborated on geospatial data integration and live rendering infrastructure, improving real-time visualization under high-load scenarios

Technologies Used:

Apache Spark

MongoDB

AWS

REST APIs

Microservices

BEAST

Student Researcher

UCR BIG DATA LAB

Research

August 2024 - March 2025

Riverside, CA

Enhanced geospatial analytics platform and contributed to full-stack development of spatial data interfaces.

Key Achievements:

Enhanced BEAST's geospatial analytics platform by refactoring Scala-based Spark pipelines, reducing runtime by 50% through DataFrame optimizations
Built AI-driven data aggregation layers and prompt-based geospatial styling tools to automate map rendering and feature extraction
Implemented robust datetime parsing and type inference modules for diverse spatio-temporal datasets to support accurate analytics and visualization
Contributed to full-stack development using React, OpenLayers, and TypeScript to support exploratory spatial data interfaces

Technologies Used:

Scala

Apache Spark

React

OpenLayers

TypeScript

AI/ML

SDE Intern

CODING SHEEP LLP

Full-time

December 2021 - April 2022

Bangalore, India

Developed blockchain-based solutions and NFT marketplace with focus on performance and security.

Key Achievements:

Developed a full-stack NFT Marketplace with Node.js and Next.js, integrating smart contracts and crypto wallets
Designed and implemented a cross-chain bridge (Ethereum ↔ BSC) using Node.js and Kafka, reducing transaction latency by 15%
Authored secure ERC20/ERC721 contracts that reduced gas fees by 25% and improved on-chain transaction throughput by 30%

Technologies Used:

Node.js

Next.js

Solidity

Web3.js

Kafka

Ethereum

BSC

Software Developer Intern

XEGGO

Full-time

September 2021 - November 2021

Remote

Developed blockchain-based money streaming protocol and SDK.

Key Achievements:

Developed and deployed a software development toolkit (SDK) for a money streaming protocol using Node.js, Ethers.js, and Web3.js, reducing development time by 30%
Enhanced codebase efficiency, improving developer productivity and streamlining integration processes
Created comprehensive developer documentation, cutting onboarding time by 25% and minimizing support requests

Technologies Used:

Node.js

Ethers.js

Web3.js

Blockchain

Documentation

Education

Master of Science in Computer Science

University of California, Riverside

September 2023 - March 2025

Riverside, CA

Focusing on advanced computer science topics with emphasis on AI/ML, distributed systems, and data science. Active member of Big Data Lab.

GPA: 3.66/4.0

Bachelor of Technology in Computer Science and Engineering

Vellore Institute of Technology

2019 - 2023

Chennai, India

Comprehensive study of computer science fundamentals with focus on software development and engineering principles.

GPA: 8.23/10

Get In Touch

I'm always open to discussing new opportunities, interesting projects, or just having a friendly chat about technology.

Contact Information

sreekapplications@gmail.com

Location

Riverside, CA

Follow Me

GitHub

@sreekar9601

Sreekar Sarvepalli

Twitter

@SreekSar

Quick Response

I typically respond to emails within 24 hours during business days.

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