Misbahuddin Mohammed - System Administrator - Fannie Mae

Summary

Software Developer and AI enthusiast with 3+ years of experience building scalable software applications, APIs, and cloud-based solutions. Passionate about AI, emerging technologies, and turning complex problems into practical products. Actively building and experimenting with AI-driven products and developer tools, with a strong focus on innovation, automation, and intelligent systems. Quick learner with a strong interest in continuously exploring and building with AI technologies.

Overview

6

years of professional experience

Work History

System Administrator

Fannie Mae

Farmington Hills, Michigan

11.2024 - Current

Managed server configurations to ensure optimal performance and security.
Administered user accounts and permissions across multiple applications.
Monitored system performance and resolved issues promptly.
Collaborated with teams to deploy software updates and patches efficiently.
Documented system processes and procedures for team reference.
Assisted in troubleshooting hardware and software malfunctions effectively.
Provided technical support to end-users, enhancing their experience with systems.
Troubleshot application errors and provided technical support to end-users.
Implemented backup solutions to safeguard critical data assets.
Oversaw storage management, data migration, backups and drive replacements.
Performed regular backups of critical data and documents.

Software Developer

Emvigo Technologies

03.2020 - 05.2022

Specializations: Full-Stack Development, Web Applications, REST APIs, Database Design, Agile Methodologies
Developed and maintained full-stack applications using Angular and Spring Boot.
Built and optimized REST APIs and worked with SOAP/WSDL/XML/SOA for microservices.
Used GitHub and Tekton for version control and CI/CD automation.
Structure several internal systems comprising order entry/management tools, conversion/revenue reporting, and production workflow tracking, as well as design custom REST APIs built in Python.
Developed and maintained scalable web applications using React.js and Node.js, improving user engagement by 25%.
Designed and implemented RESTful APIs to integrate frontend and backend systems, reducing latency by 30%.
Optimized database queries for MySQL and MongoDB, reducing query execution time by 40%.
Collaborated with cross-functional teams to deliver projects using Agile methodologies (Scrum).
Wrote clean, maintainable, and well-documented code, adhering to industry best practices.
Utilized Git for version control and collaborated with team members using GitHub/GitLab.
Installed Linux servers and virtualized environments using Docker, Hyper-V, and Amazon Web Services.
Ensured high-quality code through test-driven development (TDD) and Agile methodologies.
Integrated various APIs and improved system performance in a Microservices environment.
Containerized applications using Docker and deployed them on cloud platforms like AWS.
Worked with Linux environments for server-side development and deployment.
Participated in code reviews and provided constructive feedback to improve code quality.

Education

Bachelor’s - Computer Science

JNTUH

India

08-2020

MS - Information studies

Trine University

USA

05-2024

Skills

Core Focus: Ai Product development, Ai agents, cloud & DevOps, Machine Learning
Programming Languages: Python, Java, JavaScript, C, C, SQL, HTML, CSS and basic knowledge of TypeScript
Framework & Libraries: NumPy, Pandas, Django, Matplotlib and Scikit-Learn
Cloud Computing: Knowledge of Azure, AWS for deployment, scaling and cloud-based solutions

Database Management: Proficient in writing optimized SQL queries, performing ETL operations and working with MySQL, PostgreSQL and MongoDB
Data Visualization: Expertise in Tableau, Power BI and Python visualization libraries like Seaborn and Plotly
Version Control: Proficient in GIT for collaboration and version management
Communication: Excellent written and verbal communication skills for cross-departmental collaboration

Projects

AI Products & Innovation

AI Kubernetes Checker
Built a Kubernetes cluster auditing CLI tool that generates scored, actionable HTML health reports covering cluster configuration, resource utilization, and best-practice compliance. Designed as a productized consulting offering for mid-size engineering teams, enabling rapid diagnostic engagements without requiring long-term contracts

MicroPitch
Developed an AI-focused product that explores automated solutions for improving how ideas, products, and technical concepts are presented and evaluated. MicroPitch, an AI-powered mobile application (React Native/Expo) that helps entrepreneurs validate business ideas through automated analysis and feedback. Integrated Stripe for subscription/payment processing and Firebase for backend services (auth, data storage), deployed backend infrastructure on Railway

Current Work

Autonomous Driving & Robotics Evaluation Platform
Building an autonomous driving simulation and edge-case generation platform using CARLA, Python, and PyTorch to synthesize thousands of rare/long-tail driving scenarios (adverse weather, occluded sensors, unusual intersections, emergency vehicles) for evaluating autonomous driving AI systems. Designing the pipeline to run scenario generation → simulation → model inference → automated failure analysis, with plans to publish results as an open-source long-tail scenario benchmark

Languages

English
Hindi

Timeline