CV

Vedant Gaur

Philadelphia, PA // San Francisco, CA
Phone: 650-762-9475
Email: vedantg@wharton.upenn.edu
LinkedIn: linkedin.com/in/vedantgaur
GitHub: github.com/vedantgaur

Education

• University of Pennsylvania, Jerome Fisher M&T Program (May 2026)
  B.S.E., Computer Science (Engineering) and B.S. Economics, Finance (Wharton)
• University of Pennsylvania
  M.S.E., Computer Science

Technical Skills

• Languages: Python, Java, C/C++, LaTeX, HTML/CSS, JavaScript, SQL, OCaml, R, React
• Soft Skills: Leadership, Research, Public Speaking & Communication, Journalism Writing, M&A (Mergers & Acquisitions)
• Technologies/Frameworks: Python (PyTorch, Tensorflow, NumPy, Pandas, NLP, CV), Ubuntu, AWS, Google Cloud, GitHub, JUnit, WordPress, Excel, PowerPoint

Relevant Coursework

• Discrete Mathematics
• Data Structures & Algorithms
• Artificial Intelligence
• Economics
• Management
• Operations
• Entrepreneurship
• Statistics/Probability
• Computer Architecture

Professional Experience

• BOLD AI (November 2021 – January 2023)
  Founder & CEO
  bold-ai.org
  • Engineered SoTA low-cost deep learning tool that detects stutters in spoken word using LSTMs, CNNs, and Transformers.
  • Rigorous testing of app in real clinics across the Bay Area. Established an advisory board of speech specialists (SLPs and academics) as well as a team of 20+ members.
• Wharton Analytics Fellows (September 2023 – Present)
  Analyst, Philadelphia, PA
  • Built ML model and performed extensive data analytics for The Zillow Group on marketing spend allocation in different media channels for ZHL (home loan) submissions; presented to C-Suite, alongside Zillow IT (RapidMMM) package iteration and feedback.
  • Developed novel clustering techniques for the Fox Corporation regarding viewer personas on Fox Media content.
• Penn MUSE (September 2023 – Present)
  Consultant, Philadelphia, PA
  • Lead consultant as part of highly selective CASE team working on bolstering sustainable marketing. Consistent high performance at the American Marketing Association International Collegiate Conference. 2024 Winners.
• Edspire (June 2022 – November 2022)
  ML & SWE Intern, Stanford, CA
  • Founding Machine Learning Engineer, managed databases for model training and tuned models to develop relationship graphs between different math concepts part of the Stanford University curriculum.
• M&T Student Board (September 2023 – Present)
  Treasurer, Philadelphia, PA
  • Managing ~5-6 figures in financials for the Jerome Fisher M&T Program.
• StanfordNLP (July 2024 – Present)
  Author, Philadelphia, PA
  • Looking into multi-trigger classification in the subfield of mechanistic interpretability while advised under Dr. Jan-Philipp Fränken [ICLR 2025 Projection].
• Princeton PLI (June 2022 – Present)
  Lead Author & Intern, Philadelphia, PA
  • (June 2022 - July 2023) Worked under Dr. Nikunj Saunshi (now Google Research) to evaluate symbolic math reasoning in LLMs. [Published in ACL 2023]
  • (June 2024 - Present) Working under Dr. Tanya Goyal and Dr. Leqi Liu to develop more robust evaluation and benchmarking methods for LLMs. [ICLR 2025 Projection].

Research Publications

• Reasoning in large language models through symbolic math word problems (July 2022 – July 2023) - First Author, ACL 2023
• Symbolic Math Reasoning with Language Models (July 2022 – October 2022) - First Author, MIT IEEE URTC 2022
• Lucas-Kanade Optical Flow Machine Learning Implementations (June 2021 – December 2021) - First Author, Caltech // JSR

Projects

• Deep Learning Live Interview Platform (June 2023) - Python, React, MERN Stack, AWS
• RAG-Based research literature review tool (June 2024) - Pytorch, Pinecone
• LLM Based Resume Correction and Finetuning (October 2023) - Python, Pytorch, Google Cloud Console