Sreeyuth Chowdary — Software Developer

About

I'm a Computer Science student at Northwest Missouri State University (GPA 3.6/4.0), graduating in December 2026. Currently working as a Software Developer at the Learning and Teaching Center, building and maintaining full-stack applications.

I specialize in full-stack development with TypeScript, Python, and modern frameworks like Next.js, React, FastAPI, and Vue.js. My experience includes building RAG-powered AI applications, real-time computer vision systems, REST APIs with authentication, and optimizing database performance.

I'm passionate about creating impactful software solutions and seeking Summer 2026 internship opportunities where I can contribute to innovative projects and continue growing as a developer.

Association for Computing Machinery

Conference Presentation

CCSC Central Plains 2025 — Presented research poster on Enhancing Adjunct Faculty Performance Prediction by Applying SMOTE Techniques at Drake University, Des Moines, IA.

Work Experience

Software Developer

Learning and Teaching Center, Maryville, MO

Sep 2024 - Present

Built and maintained an Adjunct Faculty Management System that delivers role-based dashboards for provosts, chairs, and coordinators using FastAPI, Vue.js, and MySQL.
Designed REST APIs with OpenAPI documentation and implemented JWT authentication, LDAP integration, and role-based access control across four permission levels.
Automated data ingestion and aggregation from Canvas LMS and EvaluationKit to replace manual reporting workflows for university leadership.
Improved performance by reducing evaluation processing time by 40% and API latency by 25% using async database operations, connection pooling, indexing, and query optimization with SQLAlchemy and aiomysql.
Increased production reliability by expanding unit test coverage and adding structured logging to speed debugging and prevent regressions.

Projects

Podcast Brain

Full-stack AI podcast platform with RAG question-answering. Transcribes audio and enables semantic search using transcript chunking, OpenAI embeddings, and PostgreSQL pgvector. Achieves ~120ms retrieval latency and ~1.8s streaming response.

Next.js 14 TypeScript Supabase OpenAI pgvector

Demo GitHub

Gesture Code

Published VS Code extension enabling hands-free editor control through webcam gesture recognition. Uses MediaPipe Hands with 21 landmarks and handedness-aware detection. Built Node.js HTTP server to bypass VS Code CSP restrictions.

TypeScript MediaPipe Node.js VS Code API

Open VSX GitHub

Pose Fitness Coach

Real-time pose estimation fitness coach tracking 33 body landmarks and counting reps across 8 exercises using state machine logic. Includes OOP exercise tracker framework with 33 pytest test cases for validation.

Python MediaPipe OpenCV pytest

Demo GitHub