Sophomore computer science student at Alabama A&M, focused on data analytics and looking for professional feedback on my work.
Projects that show my data analytics work, tools, and learning process. I share them to get critique and guidance from professionals.
Built a multi-agent research assistant using LangGraph to orchestrate planning, paper retrieval, and summarization steps as a stateful graph with conditional edges and a self-critique retry loop. Integrated the OpenAI API with function calling to extract structured data from academic papers, enabling consistent comparison across sources for literature review tasks.
Developed a real-time transit data platform using Python, React, Azure, and Apache Spark to ingest and process live data for bus arrival predictions. Built distributed Spark pipelines and CI/CD workflows to improve processing scalability, fault tolerance, data reliability, & deployment consistency.
Sophomore computer science student at Alabama A&M, focused on data analytics and looking for professional feedback on my work.
I am Aryan Luitel, a sophomore computer science student at Alabama A&M University studying for a bachelors degree. I focus on data analytics, have some practical experience, and Im building a portfolio to get feedback from mentors and professionals.
Experience
Teaching Assistant
Alabama A&M University · Aug 2024 – Present
Software Development Engineer Intern
Adobe · May 2026 – Aug 2026
Intern - Quantum Computing and Machine Learning
National Science Foundation · Jan 2025 - May 2026
Education
Alabama Agricultural and Mechanical University
B.S. in Computer Science, Junior (GPA: 3.95/4.0) Expected Graduation: Dec 2027 · Class of 2027
Skills
Built a multi-agent research assistant using LangGraph to orchestrate planning, paper retrieval, and summarization steps as a stateful graph with conditional edges and a self-critique retry loop. Integrated the OpenAI API with function calling to extract structured data from academic papers, enabling consistent comparison across sources for literature review tasks.
Developed a real-time transit data platform using Python, React, Azure, and Apache Spark to ingest and process live data for bus arrival predictions. Built distributed Spark pipelines and CI/CD workflows to improve processing scalability, fault tolerance, data reliability, & deployment consistency.