Hello, I'm Rubayet Bin Mujahid

Professional Experience

Founding Software Engineer

Planetary Utilities Space TechLos Angeles, CA

June 2025 – Present

  • Built a SysML v2 editor in Next.js and Tailwind with editing tools enabling systems engineers to build system models 2× faster
  • Co-developed a LangChain multi-agent LLM chatbot on an MCP stack; implemented FastAPI services with WebSocket streaming for concurrent users, accelerating systems model generation by 60% for 30+ Honeywell engineers
  • Deployed hybrid infrastructure across Azure AKS and on‑prem Kubernetes, integrating CI/CD pipelines with GitHub Actions
  • Authored Helm charts as Infrastructure-as-Code, cutting config errors by 30% and streamlining Kubernetes deployments

Software Development Research Assistant

California Polytechnic University PomonaPomona, CA

Dec 2023 – May 2025

  • Built a MERN stack web service to log ROS2 sensor data and query 1000+ records for autonomous driving experiments
  • Integrated a Python OpenCV model in FastAPI, exposing it as a containerized microservice on Kubernetes for reproducible testing
  • Ingested sensor data into MongoDB with PyMongo and Redis caching to cut query latency by 65%

Software Engineer

SGeBIZ FintechSingapore (Remote)

Aug 2021 – Jan 2022

  • Optimized transaction data retrieval with REST APIs using Node.js, reducing load times by 25% for 10,000+ daily users
  • Implemented API monitoring with Prometheus and Grafana, reducing mean time to detect failures by 40%
  • Wrote unit tests for transaction history using Jest and integrated with Jenkins CI to reach 90% coverage

Software Developer Intern

United Nations World Food ProgrammeJordan

Oct 2019 – Jan 2020

  • Built REST APIs with Django and PostgreSQL to handle 1K+ distribution records, cutting data retrieval time by 35%
  • Containerized and deployed services with Docker on AWS EC2, reducing environment setup time from hours to 15 minutes

Technical Skills

Software Development

JavaScript (ES6+)TypeScriptPythonNode.jsExpress.jsReact.jsHTML/CSSTailwindPostgreSQLWebSocket (Socket.IO)DjangoFastAPISQLMongoDBModel Context Protocol (MCP)

Data Science & Machine Learning

Large Language Models (LLMs)LangChainJupyterLabsci-kitOpenCV

Cloud & DevOps

DockerKubernetesHelmGitHub ActionsCI/CDAWSAWS LambdaVercelAzure Functions

Projects

A showcase of my passion for building innovative solutions.

JobReadyAI Interview Assistant

JobReadyAI Interview Assistant

An AI-powered interview preparation tool that helps job seekers practice and improve their interview skills with real-time feedback and personalized coaching.

Roommate Expense Splitter

Roommate Expense Splitter

A web application that simplifies expense tracking and splitting between roommates, making it easy to manage shared bills and payments.

Personal API Dashboard

Personal API Dashboard

A customizable dashboard that aggregates data from various APIs and services, providing a centralized view of personal metrics and information. Useful for developers to track of various APIs.

More Projects

YouTube Trending Videos ETL Pipeline

An end-to-end ETL pipeline for analyzing YouTube trending videos, including data extraction, transformation, storage in Azure, and visualization in Looker Studio.

Financial Trade Predictor

A Django-based application for financial data analysis, backtesting trading strategies, and generating machine learning predictions for stock market movements.

E-Commerce Application

A full-featured e-commerce platform with product management, cart functionality, user authentication, and payment processing integration.

Credentials

Professional certifications and academic publications validating my expertise

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Certification

Microsoft Certified: Azure AI Fundamentals

Validated knowledge of fundamental AI concepts, Azure AI services, and responsible AI principles.

View Certification
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Publication

Modular Analysis of Dataset Balancing Techniques For Binary Classification

Research paper published in IEEE analyzing dataset balancing techniques and their impact on binary classification performance metrics, revealing that balancing techniques are hardly necessary for binary classification tasks.

View Publication

Get In Touch

Let's connect and discuss how we can work together to bring your ideas to life.

© 2025 Rubayet Bin Mujahid. All rights reserved.

Full Stack Developer • Machine Learning Enthusiast