Author Image

Hi, my name is Julian

Julian Wiley

Quantitative Developer at AlgoVision LLC.

I am a passionate quantitative developer with 3 years of working experience. I develop quantitative finance notebooks for day traders. My work demonstrates applications of machine learning and big data tools in high frequency trading. Sometimes, I work on side projects such as developing data APIs.

Leadership
Team Work
Hard Working
Communication
Curiosity
Problem Solving

Skills

Experiences

1
Research Intern
AlgoSeek LLC.

Feb 2022 - Current, New York

AlgoSeek LLC. is a financial data provider for retail traders, providing proprietary datasets for ml research.

Responsibilities:
  • Built ETL preprocessing pipelines for exploratory data analysis, ML model building, and simulation
  • Developed custom daily and intraday indicators; backtesting using PySpark and Backtrader
  • Built various ML models predicting stock returns
Machine Learning Research Intern
ML4Trading

June 2022 - Jan 2023, New York

Researching Machine Learning Models for High Frequency Trading

Responsibilities:
  • Exploring Backtrader, Zipline, and Lean backtesting libraries for daily and intraday strategy development
  • Built gradient boosted regression and classification models for intraday and daily data
  • Implement and test xyz feature for abc tool.
2
3
CTO & Co-Founder
AlgoVision LLC

Jan 2021 - Current, Boston, MA

FinTech start-up developing no-code platform for building algorithmic trading strategies

Responsibilities:
  • Built MLOps platform for trading in Python using open-source libraries and AWS SageMaker using credits from the AWS Activate Program
  • Managing a $65,000 portfolio
  • Researching existing literature on alpha research and intraday strategies, translating them into code
  • Writing python code for data processing, broker-order execution, and algorithmic trading strategies
  • Formulated and wrote code for 20+ trading strategies and 3 different automated portfolio management algorithms ready to be pushed through the development pipeline. Creating additional strategies
Technical Lead
Babson CODE

May 2021 - May 2022, Wellesley, MA

Babson CODE (Community of Developers and Entrepreneurs) is a student-run organization dedicated to fostering technical entrepreneurship in the Babson Community.

Responsibilities:
  • Led multiple technical seminars open to the greater Babson Campus
  • Mentored younger members, teaching them machine learning and data science topics, assisting them with projects, and helping them find resources on their individual interests.
  • Consulted with many startups and assisted them in designing cloud-based solutions to solve business challenges
4
5
CTO
Alt Bottle

Mar 2019 - July 2019, Wellesley, MA

Resusable water bottle start-up out of Babson’s award-winning Foundations of Management and Entrepreneurship (FME) course

Responsibilities:
  • Designed and deployed company website
  • Set up payment systems for online store and POS modules
  • Set up analytics for website traffic and in-person sales
  • Communicated technical analysis conclusions to business audience and translated business goals into technical requirements.
Intern
Atlantec Technology Services

April 2018 - May 2018, Falmouth, ME

IT Services for Small Businesses in Southern Maine

Responsibilities:
  • Set-up and shipped server rack for companies in Texas
  • Troubleshooted technical problems for clients through IT service management portal and remote access
6

Education

Babson College
2019-2022
B.Sc. in Business Administration
Taken Courses
  • Quantitative Methods for Machine Learning
  • Cryptography
  • Quantitative Analysis of Structural Injustice
  • Business Intelligence and Data Analytics
Extracurricular Activities
  • Technical Lead for Babson's Community of Developers and Entrepreneurs
  • Consulted with E-Tower startups to assist development efforts and troubleshoot technical problems
  • Served as Lead Developer in small groups working on various academic projects
  • Started several start-ups to gain experience working in small teams and developing solutions using a wide variety of technologies
Harvard Extension School
2021, 2022
Select Graduate Courses
Taken Courses
  • Cryptography and Identity Access Management in Blockchain and Cloud applications
  • Deep Learning
  • Dynamic Modeling and Forecasting in Big Data
Falmouth High School
2014-2018
High School Diploma
Extracurricular Activities
  • Worked on school's FIRST robotics team (FRC Team 172) for 4 years on programming, mechanical, and design (leadership) sub-teams.
  • Mentored students in ZhengZhou, China as part of a FIRST sponsored program to bring FRC to China
  • Went to FRC World Championship in St. Louis, Missouri

Projects

Predicting Economic Recessions
Predicting Economic Recessions
Data Scientist November 2022 - December 2022

Final Project for CSCI E-89 Deep Learning

academic school harvard time_series machine_learning
Star
Intraday Stock Analysis with R
Intraday Stock Analysis with R
Author November 2022 - December 2022

Final Project for CSCI E-116 Dynamic Modeling and Forecasting in Big Data

academic school time_series machine_learning
Star
Machine Learning for Trading
Principal Developer June 2022 - January 2023

Developed Alpha Factors and Machine Learning Models for High-Frequency Trading

professional quant machine-learning
Star
Predicting Start-Up Performance
Data Engineer Sept 2021 - December 2021

Predicting the Performance of Startups - Final Project for Quantitative Methods for Machine Learning

academic school machine-learning
Star
Stock Prediction on AWS EMR
Principal Developer Oct 2021 - December 2021

Predicting Stock Returns on AWS Elastic Map Reduce using PySpark

professional quant big-data spark machine-learning
Star
AlgoSeek Example Notebooks
Team Lead Mar 2022 - Present

Example Notebooks Using AlgoSeek Proprietary Data for ML Research in Quant Finance

professional machine-learning
Star
Basic Stock Analysis with PySpark
Basic Stock Analysis with PySpark
Sole Developer Mar 2023 - Present

Basic stock analysis using PySpark

personal big-data data-engineering
Star

Accomplishments

Neural Networks and Deep Learning
Coursera Oct 2018

This course helps understand the fundamentals of neural networks and ‘deep’ architectures.

View Certificate
Improving Deep Neural Networks - Hyperparameter Tuning, Regularization, and Optimization
Coursera Nov 2018

This course helps understand fundamental concepts and practical techniques for improving the performance of neural networks with deep architectures

View Certificate
Structuring Machine Learning Projects
Coursera Dec 2018

This course helps understand the structure of machine learning focused projects.

View Certificate
Convolutional Neural Networks
Coursera June 2019

This course introduces covolutional neural networks and covers popular applications such as image recognition, object detections, and neural-style transfer.

View Certificate
Sequence Models
Coursera Jan 2020

This course covers sequence models such as LSTMs and RNNs, as well as the most popular applications for these architectures

View Certificate
Industrial IoT on Google Cloud
Coursera Jul 2020

This course covers the use of GCP for industrial IoT applications.

View Certificate
Google Cloud Big Data and Machine Learning Fundamentals
Coursera Oct 2019

This course describes the fundamental concepts and services that underpin machine learning and big data solutions on GCP.

View Certificate
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
Coursera Dec 2019

This course describes using Cloud Dataproc, a GCP managed Hadoop/Spark service, for scalable processing of unstructured data.

View Certificate