Ansel Erol

Experience

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  People for PSEO

  May 2022 - now

  Member of Finance Committee serving a term from January 2024 to January 2026. - Wrote corporate and government grant proposals and budgets- Managed a database of donors on Salesforce- Organized three donation campaigns- Prepared monthly reports for the Board of Directors - Generated corporate and charity sponsor contact lists, drafted sponsorship emails, and worked on successful grant applications, leading to an employment offer as Finance Director.- Aided in production of informational guides and promotional materials, including a testimonial.

  • Board Member

    Jan 2023 - now

  • Finance Director

    Sept 2022 - May 2023

  • Fundraising Volunteer

    May 2022 - Aug 2022
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  İzmir Ekonomi Üniversitesi

  Jul 2022 - Aug 2022

  Software Engineering Intern

  - Implemented and unit-tested a Software Design Patterns course library in C++ and Python.- Designed problem sets for weekly labs, including multithreaded synchronization and load-balancing mechanisms.- Proofread and revised research papers of Computer Science graduate students.- Audited upper-division coursework in Theory of Computing and Machine Learning.

• 

  Georgia Institute of Technology

  Dec 2023 - now

  An independent investigation of constrained, distributed architectures for machine learning with Professor Divya Mahajan.- Researching machine learning on power, memory, and compute-constrained edge devices, such as earth-observation satellites or IoT sensors.- Developing resource-efficient training and fine-tuning algorithms for heterogenous systems; current focus is on aerial scene classification and object detection vision models (MobileNet, ResNet, YOLO) for floods and wildfires.- Designing joint system and computation simulation protocols to assess model inference and training bottlenecks and verify efficacy of machine learning algorithms.- Recipient of President's Undergraduate Research Salary Award for Fall 2024. Show less Machine Learning for Finance Vertically Integrated Project team member exploring applications of natural language processing to bolster financial analysis.- Analyzed the logical coherence of 10-K financial reports to enhance risk analysis and stock predictions.- Benchmarked various NLP transformer models (BERT, Electra) and generative models (GPT, Gemini) on the CR-COPEC dataset using a Tensorflow Keras pipeline, filtering outliers and synchronizing with market data.- Improved model generalization to FinCausal dataset utilizing sampling algorithms and regularization. Show less

  • Undergraduate Researcher: System Infrastructure and Architecture Lab

    Jan 2024 - now

  • Undergraduate Researcher: Financial Services and Innovation Lab

    Dec 2023 - May 2024