Jan 2026 Web Development
Portfolio v2
A high-performance personal portfolio built with Astro, Tailwind v4, and a custom neon cyberpunk aesthetic.
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HI, I'M
MUKUND
I'M |
I’m a junior computer science and math double major at the University of Texas at Austin. I’m interested in building intelligent machine learning systems to solve real-world problems in domains such as operating systems, robotics, and quantum computing. Check out my experiences, projects, and blog to take a look at what I’ve been up to.
What I Do .
Skills I've acquired throughout the years.
Python
C++
Java
Typescript
React
Astro
Tailwind
Docker
Kubernetes
PyTorch
TensorFlow
Linux
Git
Projects .
Selected work showcasing my technical skills.
Nov 2025 IoT & ML
EcoSense
Smart agriculture system using ESP32 sensors and TFlite for disease detection in crops.
C++ Python TensorFlow Lite
Sep 2025 Full-Stack Development
Real-time Chat Application
WebSocket-based chat application with Redis pub/sub for horizontal scaling across multiple servers.
Node.js React Redis WebSockets
Aug 2025 Systems
Distributed KV Store
Fault-tolerant key-value store using Raft consensus algorithm.
Go Distributed Systems
Oct 2025 Computer Vision
Neural Style Transfer
Implementation of artistic style transfer using VGG19 network.
PyTorch Deep Learning
Jul 2025 Full-Stack Development
E-Commerce Platform
Headless e-commerce platform with Stripe integration and inventory management.
Next.js PostgreSQL Stripe
Jun 2025 DevOps & AI
AI Code Review Bot
Automated code review assistant using GPT-4 for pull request analysis and suggestions.
Python OpenAI GitHub Actions
May 2025 Mobile Development
Fitness Tracker PWA
Progressive Web App for tracking workouts with offline support and data visualization.
React IndexedDB Chart.js
Apr 2025 Data Engineering
Distributed Log Analyzer
Stream processing pipeline for analyzing application logs in real-time using Apache Kafka and ClickHouse.
Kafka Python ClickHouse
Mar 2025 Content Management
Markdown-based CMS
Git-based content management system with visual markdown editor and version control.
Vue.js Node.js Git
Blogs .
Thoughts, tutorials, and insights on software development.
March 2023 Quantum Computing
Polygence Symposium
A presentation I delivered at Polygence's 8th Symposium of Rising Scholars on my quantum computing research. My project was about solving the Max Cut problem using QAOA to find the ground state of Ising spin glasses.
Quantum Computing Max Cut QAOA Ising Spin Glass Qiskit Polygence Research Presentation Theoretical Computer Science Physics Software Development Communication Statistical Mechanics
Experience .
A timeline of my professional journey.
Incoming Software Engineering Intern
May 2026 - August 2026 @ Google
New York City, NY
Developing AI-powered tools for Google's internal fuzz testing of several functions in Java codebases using Google ADK.
Machine Learning Artificial Intelligence Agentic AI Java Python Google Cloud Platform (GCP) Google Agent Development Kit (ADK) Fuzz Testing Software Development
ML & Systems Researcher
December 2024 - Present Austin, TX
Integrated SeBS (Serverless Benchmarks Suite) workloads (e.g., video processing, graph algorithms) to improve model accuracy and characterize multi-application interference. Expanding GraphSAGE-based resource contention modeling, which generated 32-dim embeddings from system resource graphs for gzip, bzip2, and xz. Refining heterogeneous graph modeling, addressing previous limitations of homogenized node attributes. Creating an efficient representation of heterogeneous node features to improve contention prediction accuracy. Currently developing a dynamic microservice scheduler through Bayesian optimization and graph application embeddings to outperform standard heuristic-based schedulers like Kubernetes.
Machine Learning Systems eBPF bpftrace Python PyTorch Evaluation Software Development Bayesian Optimization Graph Neural Networks GraphSAGE Microservices Kubernetes Docker Bash Linux Automation
ML & Robotics Researcher
May 2024 - Present Austin, TX
Developed a non-autoregressive transformer model for predicting human motion trajectories in hallways. Collected markerless motion capture data on 8 participants in a T-shaped hallway. Processed with C-motion software to extract key body joint information like positions, angles, velocity, and acceleration time derivatives. Preprocessed and tokenized body tracking data with NumPy/Pandas and implemented attention mechanisms to process this continuous state information using PyTorch. Evaluated model performance w/ MPJPE metric and compared against state-of-the-art STPOTR, performing about 50% better with the highest at 0.15 m error compared to STPOTR's highest at 0.3 m.
Machine Learning Robotics Python PyTorch Computer Vision Exploratory Data Analysis NumPy Software Development Pandas Deep Learning Transformer Evaluation
Undergraduate Teaching Assistant
August 2025 - December 2025 Austin, TX
UGCA for C S 331: Algorithms and Complexity with Dr. Fares Fraij, Fall 2025. Supervise discussion & study sessions of 30+ students, conduct office hours, grading tests and assignments. Answering questions on ED Discussion Forum, creating problems for course tests, proctoring exams.
Theoretical Computer Science Algorithms Computational Complexity Teaching