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Daniel Osuoha
Technical Product Manger Intern, Microsoft

Location: Grambling, LA United States
Joined: Feb 18th, 2024
About   (request update)
I am a Computer Science and Mathematics student at Grambling State University with a 4.0 GPA. I have gained experience at companies like Bloomberg, Microsoft, and Google, building full-stack applications, AI models, and cloud solutions. I am passionate about technology, digital strategy, and mentoring others, and I enjoy leading workshops and projects that empower communities and underrepresented businesses.
Website:
https://www.linkedin.com/in/danielosuoha
Education   (request update)
Grambling State University class of 2027
Undergrad Major: Computer and Information Science
Campus Organization:
Delta Sigma Pi
Claim To Fame:
I have consistently excelled academically and professionally, maintaining a 4.0 GPA while earning recognition through national and international programs. My notable achievements include being a Google Software Engineering Fellow, a Microsoft Technical Product Management Intern, a Bloomberg Software Engineering Intern, and winning multiple competitions such as the IBM 2024 HBCU CTF. I have also led initiatives at Grambling State University, including workshops and mentorship programs as Academic Chair for ColorStack, helping peers develop technical skills and prepare for internships. These experiences reflect my dedication, leadership, and impact both inside and outside the classroom.
Most Memorable Moment:
Leading Grambling State to 3rd place in the Pelican Cup, the largest entrepreneurship competition for college students in Louisiana, marking the first time in years our school placed and highlighting teamwork, innovation, and resilience.
Experience
I currently work with Microsoft as Technical Product Manger Intern
I have years of experience working in the Computers, Software industry.
Technical Product Manger Intern | Micrososft
From May 2025 to July 2025 • 0 year(s)
Designed a solution projected to cut 20% of support cases, save $100M+ annually, and eliminate 10K+ engineering hours through agentic automation. •Defined the roadmap and specs for a no-code agentic platform enabling PMs to build AI agents and multi-agent workflows for support automation. •Created detailed Figma & PowerPoint mocks and collaborated with engineers, PMs, and data teams to standardize the authoring experience design. •Built a working demo using React, TypeScript, HTML, and CSS, with multi-model support (GPT-3.5, GPT-4, Claude-3) and an interactive AI assistant. •Completed a cloud bootcamp focused on serverless workflows and deployed full-stack apps using Azure App Service, Functions, and Cosmos DB.
Software Engineering Fellow | Google
From February 2025 to July 2025 • 0 year(s)
•Completed a 10-week program with 1:1 mentorship from a Google engineer, focusing on algorithms, system design, and scalable app architecture. •Optimized solutions in Python, applying arrays, trees, dynamic programming, and graph traversal to cut runtime on practice problems by 30%. •Built full-stack features with React/TypeScript UIs and Express APIs, containerized in Docker, and deployed to Google Cloud Platform on Kubernetes.
Software Engineering Fellow | Google
From February 2025 to July 2025 • 0 year(s)
•Completed a 10-week program with 1:1 mentorship from a Google engineer, focusing on algorithms, system design, and scalable app architecture. •Optimized solutions in Python, applying arrays, trees, dynamic programming, and graph traversal to cut runtime on practice problems by 30%. •Built full-stack features with React/TypeScript UIs and Express APIs, containerized in Docker, and deployed to Google Cloud Platform on Kubernetes.
Software Engineering Fellow | Google
From February 2025 to July 2025 • 0 year(s)
•Completed a 10-week program with 1:1 mentorship from a Google engineer, focusing on algorithms, system design, and scalable app architecture. •Optimized solutions in Python, applying arrays, trees, dynamic programming, and graph traversal to cut runtime on practice problems by 30%. •Built full-stack features with React/TypeScript UIs and Express APIs, containerized in Docker, and deployed to Google Cloud Platform on Kubernetes.
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