About Me

I am an undergraduate student at the Johns Hopkins University majoring in Computer Science and Applied Mathematics & Statistics. My focus areas are: Statistics and Statistical Learning, Natural Language Processing, and Software Engineering.

My practical experience spans developing scalable machine learning models, optimizing distributed computing frameworks, and designing robust APIs during internships at companies like Palantir, Intel, Google, and Scale AI. This work has involved engineering high-performance backend systems, optimizing cloud and distributed infrastructures, and seamlessly integrating advanced machine learning models into software engineering practices, enabling me to make significant contributions at the intersection of machine learning and scalable software development.

My Interests

  • Applied Machine Learning

    Natural Language Processing, Information Retrieval, Model Deployment Pipelines, Multimodel Machine Learning, Deep Learning

  • Backend Engineering

    API Design and Development, Microservice Architecture, Database Optimization, Caching Strategies, Containerization and Orchestration

  • Big Data

    Data Visualization, Scalable Data Architecture, Data Modeling, Automated Data Pipelines, Data Mining

  • Distributed Systems Infrastructure

    Distributed Computing, Cloud Performance Optimization, Cloud Computing, Load Balancing, Serverless Architecture

Professional Experience

  1. Palantir - Gotham: Real-Time Distributed Data Systems | Software Engineering Intern

    08/24 — Present

  2. Intel - Linux 3D Graphics Performance | Open-Source Software Engineering Intern

    05/24 — 08/24

  3. Scale AI - Impala (Outlier) | Artificial Intelligence Model Trainer

    01/24 — 05/24

  4. Johns Hopkins University - Department of Computer Science | Course Assistant

    08/23 — 05/24

  5. Google - Computer Science Research Mentorship Program | Research Scholar

    09/23 — 12/23

  6. StudyFind - Internal Software Development | Junior Software Developer (Full-Stack)

    03/23 — 09/23

  7. SoKat - jArvIs AI Equity Research Platform | Machine Learning Engineer Intern

    06/23 — 08/23

Portfolio

Research

My current research interests lie within the field of Information Retrieval in Natural Language Processing. I am currently an undergraduate researcher at the Johns Hopkins University Center for Language and Speech Processing, where I am mentored by Orion Weller under Dr. Benjamin van Durme. In the past, I have researched at the intersections of Data Science and the Applied Natural Sciences.

Publications

1. Weller, O., Chang, B., MacAvaney, S., Lo, K., Cohan, A., Van Durme, B., Lawrie, D., & Soldaini, L. (2024). FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. doi: 10.48550/arXiv.2403.15246

2. Chang, B., Huang, J., & Ho, J. (2022). Small-Scale Electrochemical Oxidation of Non-Steroidal Anti-Inflammatory Drugs: Conventional Approaches and Conditions. ChemRxiv. doi: 10.26434/chemrxiv-2022-s177n

3. Huang, J., Huang, H., Chang, B., & Ho, J. (2022). Evaluating the Effectiveness of Physical exercise in improving standardized testing performances through attention indices. Brain and Behavior. doi: 10.1002/brb3.2800

4. Ho, J., Huang, J., Chang, B., Liu, A., & Liu, Z. (2022). Reinforcement Learning: Playing Tic-Tac-Toe. TechRxiv. doi: 0.36227/techrxiv.20407575.v1

5. Ho, J., Huang, J., & Chang, B. (2022). Reforming Intellectual Property Right Based on Public Preferences Towards Artificial Intelligence Generated Music. TechRxiv. doi: 10.36227/techrxiv.20407644.v1

Research Experience

  1. Johns Hopkins University - Center for Language and Speech Processing | Undergraduate Researcher

    01/23 — Present

  2. Kennedy Krieger Institute - F.M. Kirby Research Center for Functional Brain Imaging | Research Data Analyst

    09/22 — 01/23

  3. Johns Hopkins Medicine | Clinical Data Research Assistant

    09/22 — 12/22

  4. National Tsinghua University | Mathematics and Science Research Training Program

    09/17 — 06/19