Nathan Alam

Nathan Alam

Software Engineer | MBA Candidate

Education

HARVARD BUSINESS SCHOOL & HARVARD SCHOOL OF ENGINEERING & APPLIED SCIENCES

Candidate for Master of Business Administration, May 2027

PRINCETON UNIVERSITY

B.S. Chemical and Biological Engineering

GPA: 3.92 Minors: Computer Science, Health Policy Summa Cum Laude (Highest Honors)

Award Societies: Tau Beta Pi; Phi Beta Kappa; Sigma Xi

Experience

SCALE AI

Software Engineer

Created a custom AI agent platform with a chat interface fine tuned for national security and deployed on classified networks for 500+ customers, winning contracts for >$10mm Developed workflows to enable image analysis, geospatial interactions, wargaming, and multi-modal inference fine tuned for defense use cases, opening up a new product line for $100mm

AMAZON

Software Development Engineer II

Designed high performance networking drivers in Rust for interfacing proprietary over air RF signals from low earth orbit satellites to level 2 Ethernet protocols for first 1000 consumer prototypes Created automated CI/CD pipelines with end to end integration tests, developed React and Typescript UI for a cleared data management system transmitting terabytes of data high to low daily

SPACE EXPLORATION TECHNOLOGIES

Automation & Controls Engineer

Directed daily launchpad operations as a ground controller to test out piping, electrical wiring, and machine learning augmented data reporting of ground support equipment to double pad turnover rate. Coordinated electrical panel builds for Starship's launch mount, enabling first Starship launch from Boca Chica Revamped core calibration equipment across SLC4E in preparation for weekly launches of hundreds of Starlink satellites from Vandenberg

GINKGO BIOWORKS

Software Engineering Intern

Constructed a new cloud infrastructure solution where code generated by scientists would automatically deploy to AWS lambda functions to store experimental results from lab executions Ran in-silico validation for one team and helped bring online COVID testing for Concentric

CAPITAL ONE

Software Engineering Intern

Built a tool to allow development teams to forecast future time series data using deep neural networks as part of the AWS Sagemaker machine learning platform Bootstrapped a server and client to access data and presented tool for >200 members of company using relevant software

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