Long Nguyen

"talent may take you far, but hard work will bring you anywhere..."

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Me in a Nutshell

Hey, nice to meet you! My name is Long — like the adjective — and I thrive in and seek the challenge of surpassing any limitations around me: doubters, tedious exams, unfair situations. Whether it's professionally, academically, or personally, I constantly look for opportunities to learn, innovate, and create work that can make a positive betterment in the world (corny, I know). Lately, I've been learning & sharpening my skills in ML and am particularly interested in evolutionary computation. I'm also a huge Dallas Mavericks fan!! Don't hesitate to reach out, I'd love to talk!

- if you'd like, we could also do so in Vietnamese, Japanese, or Mandarin :)

Education

Brandeis University
Expecting May 2026
B.S. in Computer Science
B.S. in Applied Mathematics
GPA: 3.78

Achievements

Honeywell AI/ML Intern Summer 2024
Davis UWC Scholar
DeisHack Hidden Gem (2024)
SASEHack Favorite Hack Award (2023)
Deans List (Spring 2023)
Math Olympiad Captain (2nd Place)

Relevant Courses

CS (Software Engineering, Data Structures, Algorithms, Python, OOP, Operating Systems, Web Development)

ML (ML with Big Data, Statistical ML, Fundamentals of AI, Deep Learning)

Math (Linear Algebra, Advanced Calculus & Fourier Analysis, Statistics, Probability, Proof Techniques)

Favorite Course: Effective Communication

Skills

Programming Languages

Multithreading & Multiprocessing
  • Python
  • Java
  • JavaScript / Typescript
  • C#

Full Stack

Frontend (ReactJS, Flutter, React-Native, Svelte, HTML, CSS, Bootstrap)
Backend (Firebase, NodeJS, ExpressJS, AWS Lambda, EC2, IAM, Cloudfront, Cognito)

Databases

SQL (PostgreSQL, SQLite, MySQL)
NoSQL (MongoDB, Google Firebase)
Cloud Storage (AWS S3, AWS DynamoDB, CosmosDB, Google Firestore, Aurora AWS)

Machine Learning

Data (NumPy, Pandas, Matplotlib, Plotly)
ML (Scikit-learn, PyTorch, TensorFlow, CUDA, Albumentations)

DevOps

Infrastructure (Terraform, Pulumi, Docker, Kubernetes)
Cloud Services (AWS, Google Firebase, Microsoft Azure, GitHub, GitLab)
Developer Tools Shell Scripting, Unit/Integration Testing, Design Patterns (Creational, Behavioral, Structural)

PM Tools

Design (Figma, Canva)
Project Management (Trello, Jira, Notion)
Methodologies (Agile, Scrum, Waterfall)

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North Pond Capital Management

(Quant algorithms meticulously focused on high liquidity)

MAY 2024 - AUG 2024

Software Engineer Intern and Researcher

  • Spearheaded the development of several genetic and differential evolutionary algorithms to achieve a Sharpe ratio of > 3 across 200+ equity, commodity futures, & index instances on global markets, enhancing portfolio performance.
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Tutatet

(K-12 tutoring platform for students to teach one another)

JAN 2024 - JUN 2024

Software Engineer Intern

  • Designed video-chatting systems for 50,000 concurrent users with WebRTC using AWS Cognito, APIGW, & Lambda and engineered personalized real-time content detection and generation for online teaching sessions with robust RNN & CNN models.
  • Increased user retention by 200% by mentoring 10 SWE to reconstruct 100% of the TS frontend, AWS backend & database design, and migrating 100% of the cloud infrastructure from Terraform to Pulumi TypeScript & C#.
  • Placed 1st at the Einstein Hackathon, 2nd at Innovating for Resilience, and received an invitation to present at the ASU + GSV Summit. Coordinated weekly consultations with the CEO & CTO and tech-stack education (Frontend, Cloud, DevOps).
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Java Teaching Assistant

JAN 2024 - MAY 2024

Undergraduate Teaching Assistant

  • Revamped existing 2 course structure on OOP, Data Structures & Algorithms, and design patterns with a ReactJS visualization tool (see projects below), graded > 400 exams and assignments, and lectured in bi-weekly recitation sessions for > 150 students.
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InBe

(An advanced personalized professional development platform)

JAN 2023 - MAY 2023

Software Engineer Intern

  • Developed InBe’s flagship product by integrating Transformer LLM fine-tuning, prompt engineering, and PosgreSQL design together, creating a robust content-indexing and skill-based recommendation system.
  • Built 33% of InBe’s total infrastructure with 20 scalable REST APIroutes, proxies, and test cases with Flask and SQL queries, allowing advanced data interactions between users, their skills, and proficiencies.
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Achillea Peer Tutoring

(A national peer tutoring nonprofit working with foster care agencies & tutoring nonprofits)

JUN 2023 - AUG 2023

Data Engineer Intern

  • Optimized student and teacher information lookup-time by 73% via deploying advanced database functionalities onto AWS Aurora, transforming & normalizing manual spreadsheet data seamlessly into PostgreSQL for scalability.
  • Improved teacher-student scheduling and reminders 100% through AppleScript & Twilio automation messaging systems, eliminating manual intervention and human inconsistencies & errors.
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FUVi

(A neuroscience-based active learning platform)

SEP 2022 - DEC 2022

Software Engineer Intern

  • Spearheaded website and platform front-end development and reduced screen load-time by 12% through a reliable, screen-responsive, and intuitive user experience.
  • Aligned ExpressJS and Java backend processes for low-latency data access and efficient web operations by collaborating closely with cross-functional teams, increasing site health by 13% with persistent object caching using Redis.
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SAT & General Tutoring by Long

(A tutoring curriculum for underprivelaged students)

SEP 2021 - DEC 2022

Founder & Lead Educator

  • Founded & directed a year-long SAT Math course for Vietnamese students (virtual) and peers (in-person).
  • Increased SAT scores by an average of 180 points for 18 high-school attendees, with 10 students recieving acceptances to their first-choice colleges.
  • Boosted academic performance of 20 students, Grades 5-11, with a 21% average increase in test scores.

TAMID Group

(tech consultant organization for Israeli startups)

FEB 2023 - PRESENT

Technical Team Lead

  • Mentored 40 student SWE in completing semester-long tech consulting projects for Israeli tech startups, consistently achieving perfect evaluations from previous clients, and outperforming expectations with high-quality deliverables.
  • Spearheaded client-project matching, project scoping, client expectation negotiations, AGILE practices, and tech-membership interviews.
  • Ensured quality of >1000 commits through code reviews pushed to production; coordinated weekly presentations to clients.
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Random Forest

(ML group at Brandeis University)

FEB 2023 - PRESENT

Lead AI/ML Engineer

  • Enhanced prior Molecular Toxicity detection by 21% with an 80.01% ROC-AUC score in 48 hours. Integrated RDKit & MolVS data, optimized Morgan fingerprints, and utilized GATConv, Batch Normalization, and Linear layers to address overfitting.
  • Reduced SMILES data imbalance from 95% to 0% with custom loss functionslations by oversampling underrepresented labels, significantly increasing model accuracy to allow generalizing across 12 molecular properties.
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Soular

(a context-based emotional recognition & mental illness detection journaling and self-betterment app)

OCT 2023 - PRESENT

Machine Learning Engineer

  • Spearheaded the development of theSoular iOS/Android app to analyze journaling with emotion analysis and custom consultations with Transformer models, graph-data visualization, prompt engineering, & React-Native with an error margin of < 5% from A/B testing & careful fine-tuning.
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DSAV

(visualization for DSA with real-time, side-by-side animations and code explanation)

JUL 2023 - PRESENT

Tech Lead

  • Led 15 SWE to develop a React visualization tool for Data Structures & Algorithms, using AGILE methods.
  • Orchestrated project scoping and tech-stack tutorials, timeline, Figma designs, and rigorously ensured code quality by reviewing over 250 commits, emphasizing team collaboration, feedback, and mentorship.
  • Attained professors’ endorsements for integration into Data Structures & Algorithms courses, benefiting over 1,000 students in mastering fundamental programming concepts.
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TreeHouse

(a safe, anonymous forum-space to tackle imposter syndrome)

OCT 2023 - PRESENT

Project Lead

  • Secured 'SASEHack Favorite' with TreeHouse to tackle imposter syndrome in < 6 hours, building an anonymous forum with context-based AI consultations & harmful message filtering with 100% success through Flask APIs, LLM training, and React TS in < 6 hours.
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Quant

(education, research club focusing on quantitative thinking)

SEP 2022 - JAN 2024

Executive Director & Full-Stack Engineer

  • Procured and managed club financial allocation for hackathons and large-scale applications in quantitative finance, academia, and sports analytics, overseeing 2 tech leads and 40 members to project completion.
  • Built a SvelteKit Firebase real-time portfolio analysis full-stack framework to provide valuable monitoring and insights into various financial market fluctuations.
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Contact Me