Brian Serrata
San Mateo,CA
Summary
Dedicated Computer Science graduate from Rice University, ready to excel in engineering roles with a strong foundation in Python, Java, and Full-Stack Development. Committed to solving complex problems and making a meaningful impact. Adaptable team player with a strong work ethic and a passion for continuous and rapid learning.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Forward Deployed Engineer
Palantir Technologies Inc.
Washington, DC
07.2024 - 09.2024
- Surged on early-stage development of Electronic Health Record System for the Department of State, resulting in successful first pilot for $x million contract
- Iterated rapidly through weekly meetings with Department officials
- Contributed as a versatile generalist across multiple areas, such as developing data pipeline infrastructure using PySpark, and building backend components with Python and TypeScript
Forward Deployed Engineer Intern
Palantir Technologies Inc.
Washington, DC
05.2023 - 08.2023
- Backend Engineer working on generalizing health software applications developed during the COVID-19 and Monkeypox national responses, under a $443 million contract with the CDC
- Specifically, made significant code overhauls to enable general functionality within Palantir's Tiberius platform, including applications for inventory management and drug allocation
- Reduced average build speed for a critical transformation in a large data pipeline by 13%
- Additionally, devised and implemented key changes to a critical data pipeline backing one of Tiberius's key offerings, ultimately enabling out-of-box functionality for future health responses
- Worked extensively with PySpark for data querying and pipelining, and TypeScript for frontend/backend work
Data Science Intern
Majestic Steel
Cleveland, Ohio
05.2022 - 08.2022
- Performed significant data processing and created predictive models using sklearn and XGBoost to identify profitable customers and predict customer retention
- Reduced running time of customer-matching algorithm (8 hrs → 5 mins)
- Created profitable customer identification model using xgboost, and presented my findings to a non-technical C-suite audience, in addition to the VP of the Data Science department
- Worked extensively with complex SQL queries and large remote databases (Azure Data Studio)
- Became highly proficient in Pandas and general data manipulation and analysis
- Learned key skills in reading research papers, which have been applied to ML-related projects
Research Assistant
Rice University
Houston, TX
06.2021 - 12.2021
- Read technical papers on current bioinformatic algorithms, learning how they work, their shortcomings, and avenues for improvement
- Used Python to architect and implement these improvements
- Defined research and development trajectory through collaboration with advisor
Education
Bachelor of Arts - Computer Science
Rice University
Houston, TX05-2024
Skills
- Programming Languages: Python, Java
- Frameworks: React, React Native, Scitkit-learn, TensorFlow
- Development Tools: NodeJS, TypeScript, PySpark
Projects
- Created a full-stack application Arthouse where users can generate AI images and audio using a blend of proprietary and open-source APIs. Used React.js, Flask, Django, and JavaScript.
- Actively working on an AI Therapy app specifically targeted towards those with ADHD, helping users understand themselves better and learn coping strategies to navigate various challenges associated with ADHD. Using React Native, NodeJS, and Firebase.
- Created a Brain Tumor Classification model using the RestNet50 architecture. Implemented various techniques, including transfer learning, dropout regularization, and learning rate regularization. Used NumPy, Pandas, and TensforFlow.
- Implemented a deep learning NLP classification model which identifies what disease a patient is suffering from given a text description of their symptoms. Performed tokenization, data-preprocessing, and fine-tuning. Achieved an accuracy score of 94% and F1-score of 94%.
Project & Certification Links
Projects
- Arthouse: https://github.com/BrianSerrata/Arthouse
- ADHD AI Therapy app: https://github.com/BrianSerrata/adhdapp
- Brain Tumor Classification Model: https://github.com/BrianSerrata/Brain-Tumor-Classification
- Symptom2Disease NLP Model: https://github.com/BrianSerrata/Symptom2Disease
Certifications
- Applied Machine Learning Specialization: https://coursera.org/share/17c9f264b8a5eaff1598801423cbcd94
- Deep Learning Specialization: https://coursera.org/share/5fe3a0059e1d1e68f5a84a8c719c2b81
Certification
- Applied Machine Learning Specialization (Coursera) - Learned the mathematical theory and libraries necessary for ML development (NumPy, Pandas, scikit-learn). Additionally, solved various ML problems using model choices ranging from Linear Regression to Random Forest
- Deep Learning Specialization (Coursera) - Studied, used, and implemented various neural network architectures, ranging from from CNNs, RNNs, and the Transformer. Worked primarily with TensorFlow
Timeline
Forward Deployed Engineer
Palantir Technologies Inc.
07.2024 - 09.2024
Forward Deployed Engineer Intern
Palantir Technologies Inc.
05.2023 - 08.2023
Data Science Intern
Majestic Steel
05.2022 - 08.2022
Research Assistant
Rice University
06.2021 - 12.2021
Bachelor of Arts - Computer Science
Rice University
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