I am a Master of Science in Computer Science student at Stevens Institute of Technology, currently studying algorithm design and analysis, data analysis, and machine learning. My academic path began in economics, where I earned a Bachelor of Arts from Montclair State University. That background introduced me to a quantitative way of viewing the world and sparked my interest in computer science as a means of developing a deeper, systems-based way of thinking. Although my major is computer science, I have a strong passion for mathematics and philosophy, and I hope to integrate these interests into both my professional work and the personal projects I develop. I am motivated not only to understand how systems work, but why they work and how data models real-world behavior, how abstractions shape outcomes, and how theory translates into practice. I view my coursework not as an endpoint, but as an entry point. Classes introduce foundational concepts, but I believe true understanding is reinforced through sustained exploration beyond the classroom. With that mindset, I am actively learning about distributed systems, data intensive architectures, and advanced algorithmic design, focusing on building intuition through continuous exposure and hands-on experimentation.
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M.S Computer Science
Stevens Institute of Technology
January 2025 – December 2026
Courses : Web Programming 1, Web Programming 2, Mathematical Foundations of Machine Learning, Deep Learning, Introduction to Stochastic Calculus, Intoduction to Financial Engineering
B.A in Economics
Montclair State University — Montclair, NJ
August 2020 – January 2025
Courses: Game Theory, Calculus 1, Time Series Forecasting, Econometrics
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Fullstack Software Engineer – Logistics Platform
Transcaribe Express Shippers East Orange NJ
June 2025 – Present- Created a backend API that was deployed via railway to normalize data coming through an ETL pipeline to normalize data on a constient manner
- Optimized database query performance by 40% through schema refactoring, adding 15+ targeted indexes, and implementing Redis caching, accelerating real-time reporting for 10K+ monthly shipment records.
- Developed 8+ RESTful API endpoints in Javascript to retrieve and filter data from 25+ relational tables, reducing average customer service call time by 2 minutes for 3 agents through real-time data access.
- Implemented AI-powered query workflows using OpenAI and LangChain in Python, cutting retrieval time from several minutes to under 60 seconds and reducing average call handling time by 20%.
- Built 20+ automated UI tests in React with TypeScript and React Testing Library, reducing post-deployment UI defects by 40% and improving reliability of production releases.
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Student Researcher
Montclair State Univeristy School of Business Little Falls NJ
September 2024 – Febuary 2025- Cleaned 20M+ birth records with Python to isolate 2.8M high-quality cases, enabling robust analysis of Covid-19’s impact on birth weight and maternal health.
- Co-led research project under faculty mentorship, defining inclusion criteria and standardizing preprocessing workflows to ensure data reproducibility and integrity for ongoing public health studies.
- Developed custom Pandas and NumPy scripts to automate outlier detection and data normalization, reducing preprocessing time by 60% compared to manual methods.
- Tabulated 2.8M+ birth records in Python, summarizing data into categorical tables to support statistical analysis of COVID-19’s impact on maternal and neonatal health.
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** Externship Intern - AI Education Startup**
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October 2024 - Decemeber 2024
- Did product analysis to try and determine h
- Market analysis on the how to attact more customers overtime
- Email: egervais@stevens.edu
- LinkedIn: Elijah Gervais