Hi, I’m Sid.

I’m a Computer Science (University Honors) undergraduate at Miami University (GPA 4.0, minor in Applied Mathematics). My work focuses on accessibility and machine learning systems, from multimodal LLMs for urban accessibility mapping to ML tools used in industry.

Accessibility + AI Multimodal LLMs ML Systems & Backend Computer Vision Teaching Assistant

About

What I care about

I build ML-driven products with a strong bias toward usability and accessibility. In research, I’ve worked on urban accessibility mapping with multimodal large language models and on graph generative modeling. In industry, I’ve built and prototyped systems where models need to hold up under real constraints: latency, messy inputs, and real users.

Education

Miami University

B.S. Computer Science (University Honors) 2022 – 2025
GPA
4.0 / 4.0
Minor
Applied Mathematics
Advisors
Dr. John Femiani · Dr. Vaskar Raychoudhury

Publications

Published

  1. Siddhant Karki, Ethan Han, John Femiani. Enhancing Urban Accessibility Mapping: Few-Shot and Zero-Shot Classification with Multimodal Large Language Models. Proceedings of AIAS 2025.
  2. Siddhant Karki, Ethan Han, John Femiani. OmniAcc: Personalized Accessibility Assistant Using Generative AI. AAAI 2025: AI for Urban Planning.

In review

  1. Siddhant Karki, Ethan Han, John Femiani. Generalized Graph Transformer Variational Autoencoder. GrAPL 2026: Workshop on Graphs, Architectures, Programming, and Learning.

Awards, Fellowships & Grants

  • 2025 — Honors Research Grant, Miami University Honors College — $5,000
  • 2024 — Ford Philanthropy Scholarship, Ford Philanthropy and Ford Dealers — $10,000
  • 2024 — Internship Grant, Career Center Services — $2,000
  • 2023 — Corwin Smith Mathematics Scholarship, Mathematics Department — $500
  • 2023 — Phi Mu Epsilon Examination Award, Mathematics Department — $500
  • 2022 — Redhawk Excellence Scholarship, Miami University — $100,000
  • 2022 — International Scholarship, Miami University — $24,000

Presentations

  • 2025 — OmniAcc: Personalized Accessibility Assistant Using Generative AI. Poster presentation, AAAI 2025: AI for Urban Planning, Philadelphia, PA.
  • 2025 — Enhancing Urban Accessibility Mapping: Few-Shot and Zero-Shot Classification with Multimodal Large Language Models. Poster presentation, AIAS 2025, San Francisco, CA.
  • 2025 — Generalized Graph Transformer Variational Autoencoder. Senior design oral presentation and poster session, Miami University.

Teaching Experience

Image Processing and Computer Vision

Teaching AssistantFall 2025 – Present

Operating Systems, Concurrency, and Multithreading

Teaching AssistantFall 2024 – Fall 2025

Introduction to Systems Programming in C++

Teaching AssistantSpring 2024

Technical Skills

Programming

Python; C/C++; Java; C# (.NET); JavaScript; Bash; SQL; MongoDB; Neo4j

ML & Data

PyTorch; TensorFlow/Keras; scikit-learn; NLTK; scikit-image; RAPIDS; PySpark; NumPy; (Geo)Pandas; Rasterio

Systems & Backend

Linux; Docker; CUDA; Django; C++ Boost.Asio; TorchLib; REST APIs; Git

Analytics & DevTools

Power BI; Jupyter; VS Code; GitHub/GitLab; JIRA; basic CI/CD workflows

Accessibility & Web

Web/technology accessibility testing; WCAG-informed design; screen-reader workflows

Certifications

ICAgile Certified Professional; Fundamentals of NLP; Data Science Using Python; R-Coding Essentials; Web/Technology Accessibility; Read & Write Accessibility Professional

Professional Experience

Technical Program Manager (Internship) — Microsoft Corporation

Redmond, WA May 2025 – Aug. 2025
  • Developed a proof-of-concept AI-assisted auto-acceleration feature for Forza using behavior cloning on vision-based foundation models, reducing input burden and improving accessibility for new and disabled players.
  • Designed and fine-tuned real-time object detection models for auto-aim assistance in first-person shooter games, improving target acquisition while maintaining fair gameplay standards.
  • Contributed to the design and experimentation of a next-generation adaptive controller kit, exploring AI-assisted input mappings to better support one-handed and limited-mobility gamers.

Machine Learning / Software Engineer (Internship) — Eli Lilly and Company

Indianapolis, IN May 2024 – Aug. 2024
  • Built NLP pipelines and fine-tuned large language models (BERT, GPT-4 Turbo, LLaMA-3) to classify manufacturing deviations and detect potential drug product defects, supporting earlier identification of quality issues.
  • Applied text preprocessing and feature extraction (NLTK, Scikit-learn) with targeted prompt engineering to improve both classification accuracy and model reasoning for corrective and preventive action (CAPA) documents.
  • Developed a Django-based backend for a deviation-analysis chatbot and dashboard, integrating with an internal GPT-4 Turbo–powered API (Cortex) and surfacing model outputs to quality engineers.

Web Accessibility Testing / QA Intern — IT Services, Miami University

Oxford, OH Oct. 2022 – Present
  • Tested 100+ web applications and pages for accessibility using axe DevTools, keyboard-only navigation, and JAWS screen reader, ensuring compliance with WCAG 2.1.1 guidelines and documenting issues for development teams.

Extracurricular

  • 2024 — Econ Games Conference, 1st Place
  • 2022 — Startup Weekend Hackathon, 1st Place
  • Fall 2023 — Putnam Mathematical Competition, 80th percentile rank
  • 2022 – 2025 — Guitar Club, Member

Contact

The fastest way to reach me is email. I’m also active on GitHub and LinkedIn.

Email GitHub LinkedIn