Daniel Shapiro | Data Scientist & Full-Stack Developer

About

Hello! I'm Daniel, a machine learning engineer specializing in building production systems that bridge research and real-world applications.

My journey began in academic research where I developed a rigorous approach to problem-solving. Today, I apply that same methodical thinking to building robust ML systems and data pipelines that deliver measurable business impact.

I have experience across the full technology stack—from data ingestion and model development to API services and user interfaces. This end-to-end perspective allows me to architect solutions that are both technically sound and practically deployable.

Projects

Intelligent Market Analysis Platform

ML ENGINEERING

A comprehensive platform that combines real-time data processing, machine learning models, and interactive web interfaces to provide actionable market insights. This end-to-end solution demonstrates the seamless integration of data science and full-stack development.

PythonTypeScriptFastAPINext.js

Advanced Computer Vision System

DATA SCIENCE

A production-ready computer vision pipeline that combines state-of-the-art deep learning models with scalable deployment infrastructure. Features real-time image processing and analysis capabilities.

PythonPyTorchOpenCVDocker

Full-Stack Analytics Dashboard

FULL-STACK

An enterprise-grade analytics dashboard built with modern web technologies. Features real-time data visualization, user authentication, and responsive design optimized for both desktop and mobile devices.

ReactNode.jsExpressMongoDB

Experience

Research Analyst

JUNE 2024 — PRESENT

Conduct in-depth market research and analysis of cryptocurrency trends, blockchain technologies, and decentralized finance (DeFi) ecosystems to inform liquid token investment theses. Author comprehensive reports on emerging crypto projects and collaborate with cross-functional teams to develop research methodologies.

Founder

APR 2021 — JUNE 2024

Developed quantitative trading algorithms and built backend infrastructure for automatic portfolio re-balancing. Created data pipelines from public and paid APIs, implemented ML models for proprietary signals, and published research reports totaling 263 pages on blockchain infrastructure.

Graduate Engineer, International Leadership Programme

AUG 2018 — APR 2021

Developed FBG distributed optical temperature sensor, designed first Additively Manufactured flight ready part with Inconel DMLS printer, and automated quality control via convolutional neural network development for error detection.

Launch Systems and Operations Engineer, Co-Op

MAY 2016 — AUG 2016

Assisted with SLC-4E pad upgrade to support Iridium launch campaign as a fluid systems engineer. Tasked with site activations, pressure system design & calibration, and launch control GUI design using LabView.

MS & BS, Mechanical Engineering

2013 — 2018

MS in Mechanical Engineering with dual emphasis in Control Theory & Energy Conversion. Active in USC Hyperloop team as Structures Lead for wheels and suspension, advanced to prototype hardware build stage and invited to test track run at SpaceX.

Technical Skills

Python (Proficient)

SQL (Proficient)

Solidity (Intermediate)

C++ (Intermediate)

JavaScript (Intermediate)

Rust (Intermediate)

MATLAB & Simulink

LabView

NX & SolidWorks

AWS & GCP

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