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Ankit Rijal
Research Assistant (Software Engineering), Fisk University
Location: Nashville, TN United States
Joined: Mar 23rd, 2026

About (request update)

Education (request update)

Fisk University class of 2027

Undergrad Major: Computer Science

Experience

I currently work with Fisk University as Research Assistant (Software Engineering)
I have 1 years of experience working in the Computers, Software industry.

Teaching Assistant (Database Management System) | Fisk University
From January 2026 to Current • 0 year(s)
Mentored 45 students in database concepts, improving class performance by 15%. Collaborated with faculty to redesign lab exercises.

Research Assistant (Software Engineering) | Fisk University
From January 2026 to Current • 0 year(s)
Architected and developed FiskHub, a full-stack academic SaaS platform. Designed secure authentication and role-based access control. Deployed NSF-funded CyberQuest Portal with CI/CD.

Teaching Assistant (Database Management System) | Fisk University
From January 2026 to Current • 0 year(s)
Mentored 45 students in SQL and NoSQL database concepts, improving class performance by 15%. Collaborated with faculty to redesign lab exercises and reduce grading turnaround time by 10%.

Research Assistant (Software Engineering) | Fisk University
From January 2026 to Current • 0 year(s)
Architected FiskHub, a full-stack multi-tenant academic SaaS platform serving multiple user roles with secure authentication and role-based access control. Designed and deployed NSF-funded CyberQuest Portal with CI/CD quality gates.

Associate Software Developer Intern | Google
From May 2025 to August 2025 • 0 year(s)
Developed LLM-powered tool for automated comparative analysis, cutting analysis time by 90%. Engineered Python pipeline and optimized data pipeline reducing runtime by 68%.

Associate Software Developer Intern | Google
From May 2025 to August 2025 • 0 year(s)
Developed LLM-powered tool for automated comparative analysis, cutting analysis time by 90% and enabling bi-weekly model releases. Engineered Python pipeline for data processing and optimized high-latency pipeline reducing runtime by 68%.

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