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Computer Science — Michigan State University

Akshith
Sam

Michigan State University computer science student building AI engineering tools, backend automation, and database-driven software. My work spans LLM-based symbolic regression research, Python benchmarking pipelines, API integrations, and secure systems workflows.

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Akshith Sam, Michigan State University computer science student focused on AI engineering and backend systems
University
Michigan State University
Degree
B.S. Computer Science
Graduation
April 2027
Location
East Lansing, MI
Akshith Sam profile photo
MSU Spartan
CS Class of '27
About Me

Building practical AI
and backend systems

I am a Computer Science student at Michigan State University focused on AI engineering, backend development, database systems, and LLM-based symbolic regression research.

I build Python systems that connect research ideas to usable software: model-evaluation pipelines, API-driven automation, secure data workflows, and backend services that make machine learning projects easier to test, measure, and deploy.

Languages
Python C C++ SQL ARM Assembly Arduino
AI, Backend & Data
PyTorch Scikit-learn NumPy Pandas FastAPI Flask OAuth2 Microsoft Graph API Docker Linux Git
Focus Areas
LLMs Symbolic Regression Machine Learning Backend Automation Database-Driven Apps Systems Thinking
Experience

AI research and systems experience

Research, backend operations, IT systems, and leadership roles aligned with applied artificial intelligence and reliable computing workflows.

Jan 2026 – Present
Undergraduate Research Assistant
Michigan State University — Dminer Lab Research
East Lansing, MI

Researching LLM-based symbolic regression under Dr. Pang-Ning Tan to test whether generative AI models can discover interpretable mathematical equations from scientific datasets. Built a Python benchmarking pipeline that scores model-generated expressions against ground-truth formulas across 10 experimental configurations, improving repeatability and accelerating evaluation cycles.

Python LLMs Symbolic Regression Research
Michigan State University Surplus Store Part-time
East Lansing, MI

Redesigned device intake and quality-control workflows, improving hardware sorting accuracy by 30% and reducing disposal costs by 20% by identifying reusable assets. Installed, configured, and diagnosed operating systems and hardware while enforcing drive sanitization and data-security standards across high-volume device processing.

Systems IT Operations Hardware Diagnostics Security Compliance
Oct 2025 – Present
Student Info Tech Assistant II
Sep 2022 – Jun 2023
Class President · IT Technician
Student Information Technology Services (S.I.T.S.) Leadership
Canton, MI

Directed a 30-person student team supporting a nonprofit computer refurbishment effort, managing donation intake, diagnostics, and distribution. Maintained a 98% first-contact repair success rate and streamlined the refurbishment pipeline, cutting processing time by 30% through SOP documentation and team coordination.

Operations Diagnostics Process Improvement Leadership
Education

Computer science education

Michigan State University coursework and minors connecting machine learning, backend systems, algorithms, and quantitative computing.

2023 – 2027
Bachelor of Science
Michigan State University
East Lansing, MI · College of Engineering

B.S. in Computer Science, GPA 3.5/4.0, expected April 2027. Academic focus includes machine learning, operating systems, software engineering, algorithms, probability and statistics, and mathematically grounded computing.

Minors
Entrepreneurship & Innovation Computational Mathematics, Science & Engineering
Data Structures & Algorithms Machine Learning Operating Systems Software Engineering Linear Algebra Probability & Statistics
Salem High School
Canton, MI

High School Diploma completed in 2023. Built an early foundation in computing, technical problem-solving, and leadership through school and nonprofit technology work.

High School Diploma Class of 2023
2019 – 2023
Secondary Education
Projects

AI and backend projects

Selected work in AI tooling, secure API integrations, backend automation, database-driven workflows, and Python engineering.

Doc2Do

AI productivity automation tool that parses PDF documents with OpenAI models, extracts deadlines and action items, and syncs structured tasks into Microsoft To Do. The project emphasizes backend automation, document processing, secure OAuth2 flows, and Microsoft Graph API integration.

Python OpenAI API Microsoft Graph API OAuth2

CodeGuard

Command-line security scanner that traverses public GitHub repositories through the GitHub REST API and analyzes Python files for vulnerabilities using OpenAI models. It returns structured findings for SQL injection, hardcoded secrets, weak cryptography, shell injection, and other code-risk patterns.

Python GitHub REST API OpenAI GPT-4o Security Automation

LLM + Systems Research

A growing research and engineering portfolio focused on LLM workflows, symbolic regression, backend services, automation pipelines, and database-backed infrastructure for scientific and technical use cases.

AI Engineering Backend Systems Databases Automation
Contact

Let’s build practical AI
and reliable backend systems

I’m looking for internship, research, and engineering opportunities where I can contribute Python, machine learning, API integration, and data systems work to products or research teams.

Send a Message
Email
jobs.akshith@gmail.com
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LinkedIn
linkedin.com/in/akshithsam
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GitHub
github.com/Akshith-AI
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