Hi,
I'm Mukul
Software Developer

Contact

A Little About Me

Hey, I'm Mukul

A full-stack developer who loves turning ideas into sleek, efficient apps. With a Master’s in Information Systems (in progress) and a B.Tech in Electronics & Communication, I’ve built everything from backend APIs to interactive frontends, with a sprinkle of DevOps magic.

When I’m not coding, you’ll find me catching up on tech trends, binge-watching Netflix, or experimenting in the kitchen (results vary). Let’s build something awesome together!

What I Do

Research Assistant, Data Scientist

Sep 2024 - Present

  • Analyzed EEG and EFEG data collected from an in-house prototype VR headset with electrodes, focusing on visually evoked potentials (VEPs).
  • Led data analysis and interpretation of VEPs to explore their applications in diagnosing and treating conditions such as Age-related Macular Degeneration (AMD) and other multifocal vision issues.
  • Utilized advanced statistical models and machine learning algorithms to uncover patterns in neural data and predict visual cortex responses.

Software Developer

Jul 2024 - Present

  • Developed no-cost, industry-standard web applications for small local businesses.
  • Collaborated with 8 software engineers on full-stack applications using MongoDB, Express, React, and Node.
  • Assisted the migration to Next.js and TypeScript, enhancing performance through server-side rendering.

Specialist Programmer - Full Stack Developer / Site Reliability Engineer (SRE)

Aug 2021 - Jul 2023

  • Implemented multiple backend APIs using Java Spring Boot, improving data exchange efficiency by 20%.
  • Orchestrated deployment of 15+ applications with DevOps practices on AWS and Kubernetes, achieving 99.9% uptime and reducing deployment times by 40%.
  • Enhanced data storage for 1TB+ data across relational (MySQL, PostgreSQL) and NoSQL (Cassandra) databases, improving query performance by 25%.
  • Provided SRE support for 10+ applications, resolving 20+ security vulnerabilities and improving application performance by 35%.
  • Built and optimized scalable infrastructure in AWS, GCP, and Azure using Terraform and Pulumi, increasing reliability by 50% while cutting maintenance costs by 20%.
  • Designed and implemented CI/CD pipelines with Jenkins and Terraform, reducing manual deployment effort by 60% and enabling faster releases.
  • Managed over 30+ Access Control Lists (ACLs) to ensure secure server connectivity and prevent unauthorized access.
  • Created real-time monitoring solutions with OpenSearch/Elasticsearch, improving incident response times and issue detection by 40%.
  • Collaborated with cross-functional teams to deliver feature updates, ensuring smooth integration and delivery with zero downtime.
  • Improved application reliability through automated testing (JUnit), increasing test coverage by 85% and reducing post-release bugs by 30%.
  • Mentored junior developers, sharing best practices in code quality, testing, and cloud infrastructure management.

Executive Member, Electronics and Communication Engineering Association

Jun 2018 - Jul 2019

  • Coordinated technical events, workshops, and seminars, engaging over 200 students in cutting-edge technologies and research trends in ECE.
  • Collaborated with faculty and industry experts to organize 10+ paper presentations, promoting student participation in national conferences.
  • Managed logistics for association events, ensuring smooth execution and participation from both students and professors.
  • Assisted in setting up technical labs and hands-on training sessions for students to enhance practical knowledge.
  • Led initiatives to foster student-faculty interaction and encouraged collaborative project development within the department.

The Things I Do Best

I build efficient, reliable solutions—whether it’s full-stack development or keeping things running smoothly in the cloud. I’m here to make sure your apps don’t break (at least not on my watch). And when I’m not wrangling code, I’m probably teaching machines how to think with a bit of AI magic. Let’s turn your ideas into something that works—without breaking a sweat (or too many lines of code)!

Full-Stack Development
Cloud Computing
DevOps & SRE
Machine Learning & AI

Languages

C/C++
Java
Python
JavaScript
GoLang
TypeScript
HTML
CSS
SQL
Shell Script

Tools

Git/GitHub
Docker
Terraform
Jenkins
Packer
kafka
linux
Unix
Maven

Frameworks & OS

Node.js
Spring Boot
React
Angular
Vue

Cloud Technologies

AWS
GCP
Azure
Digital Ocean

Projects

E-Learning Web Application

Developed a responsive online learning platform using Node.js, React.js, and MongoDB, hosted on AWS EC2 with AWS S3 for content storage, achieving 100% uptime during testing.

Real-time Face Mask Detection

Trained a CNN model with TensorFlow and OpenCV for real-time face mask detection and created an interactive interface using Streamlit.

Cloud-Based Web Application

Built a scalable web application on Google Cloud Platform with autoscaling, continuous integration, and deployment pipelines, utilizing Cloud Functions, Cloud SQL, and GitHub Actions.

Calderon Bulldogs

Calderon Bulldogs is a full-stack application built for a family-owned bulldog breeding business based in Santa Ana. It is a CMS-driven application with robust admin features.

Cyber Unbound Platform Development

Created a platform for hiring cybersecurity professionals using Next.js and MongoDB, ensuring data integrity and optimal performance.

SIM Activation Application

Engineered a SIM activation web application with Spring Boot and Angular JS, reducing activation time by 40% and decreasing support tickets by 25%.

Task Manager Application

Built a cross-platform task management app using React Native and Redux, with real-time data synchronization and authentication via Firebase.

Job Search GPT

Developed a job search API using Tavily.ai and OpenAI-powered agents to curate relevant job listings, enhancing search result accuracy and relevance.

Tee Graphic Designer

Built an interactive t-shirt designer with React.js and Three.js, integrating AI capabilities via OpenAI’s DALL-E API for user-generated logos, patterns, and color schemes.

Optimizing Lane Detection

Enhanced the efficiency of a lane detection model by employing Distributed Data Parallel (DDP) across Multi GPUs/CPUs, accelerating training speed by 2.39x. Adopting mixed precision training.

Contact