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Steven Hans Limantoro

Go
Express.js
Node.js
Web Development
React
Javascript
HTML/CSS
Data Mining
Data Analysis
Data Visualization
Deep Learning
Machine Learning
NumPy
Bash
Android
Dart
Software Development
Computer Science
C++
C
Python
Java
Matplotlib
Git
Assembly Language
JUnit
Apache Subversion
Visual Studio Code
TensorBoard
Available for hire fromNegotiable
Product @ Style Theory | SWE @ Code for San Jose, The IO Foundation | CS @ University of Toronto | Aspiring SWE / PM
Backend: Python, C/C++, JavaScript (Node, Express, NestJS), TypeScript, Apollo, Go, Mongoose/MongoDB, Java, Dart Frontend: JavaScript (React), Axios, HTML/CSS, Flutter Machine Learning & Data Science: NumPy, Scikit-learn, Pandas, Matplotlib, MATLAB, Jupyter Notebook Others: Git, Jest, JUnit, REST/GraphQL, Postman, Android Studio, Jira/Confluence, Agile, Scrum, AWS EC2, Assembly(MIPS), Bash, Balsamiq Wireframes I am currently a rising computer science junior student at the University of Toronto. So far during my undergraduate career, I have been involved in various research and engineering experience. I once worked as a Machine Learning Research Engineer working on neuroimaging and behavioral data (with Python, NumPy, Pandas, Matplotlib, and Scikit-Learn), an undergraduate Researcher working on human error prediction (with Python and a bit of R) and object manipulation tasks for robots (which involved building an android application in Java). Currently, I am a Product Manager intern at Style Theory, and a Software Engineer at Code for San Jose and The IO Foundation.

Work History

S

Product Manager

Style TheoryMay 2021 - Present • 3 yrs 4 mos Expanded the resale capability through integrating and supporting multi-channel sales platform by leading cross-functional teams from engineering, design, operations, logistics, and merchandising Created PRD by gathering stakeholders' requirements and defining robust acceptance criteria Prioritized the feature list by defining urgency in product backlog, engineering bugs and limitations, and internal stakeholder requests
P

Researcher

People, AI, & Robots Research GroupJul 2020 - Nov 2020 • 5 mos Developed an Android app in Java to control robots to perform object manipulation tasks Scaled up telecommunication protocols for over 3000 concurrent users by implementing TCP and UDP using WebRTC API Implemented AR-based real-time motion tracking by integrating the application with ARCore Implemented UI using Layout Editor to allow users to connect to the server and perform their tasks
C

Researcher

Computational Social Science LabApr 2020 - Jul 2020 • 4 mos Developed a recommender system to predict users success at chess games with 60% accruracy by pre-processing and analyzing 1.5 billions of chess moves in Python Investigated the feature dominance of player rating using CBOW & Skip-Gram Word2Vec algorithm Analyzed the variability of user performance by applying hierarchical clustering on types of puzzles
D

Software Engineer

Decision Neuroscience LabSep 2019 - Mar 2020 • 7 mos Developed new software to analyze over 50,000 data points and 64 dimensions on subjects performing decision making tasks in Python Increased productivity by 80% and eliminated 10 hours/day of manual work by building an automated data pre-processing and visualization pipeline using NumPy, Pandas, and Matplotlib Implemented Support Vector Machine using Scikit-Learn and performed statistical analysis techniques to make predictions with 65% accuracy

Education

University of Toronto

Bachelor's Degree, Computer ScienceSep 2019 - May 2023

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
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Product @ Style Theory | SWE @ Code for San Jose, The IO Foundation | CS @ University of Toronto | Aspiring SWE / PM
Backend: Python, C/C++, JavaScript (Node, Express, NestJS), TypeScript, Apollo, Go, Mongoose/MongoDB, Java, Dart Frontend: JavaScript (React), Axios, HTML/CSS, Flutter Machine Learning & Data Science: NumPy, Scikit-learn, Pandas, Matplotlib, MATLAB, Jupyter Notebook Others: Git, Jest, JUnit, REST/GraphQL, Postman, Android Studio, Jira/Confluence, Agile, Scrum, AWS EC2, Assembly(MIPS), Bash, Balsamiq Wireframes I am currently a rising computer science junior student at the University of Toronto. So far during my undergraduate career, I have been involved in various research and engineering experience. I once worked as a Machine Learning Research Engineer working on neuroimaging and behavioral data (with Python, NumPy, Pandas, Matplotlib, and Scikit-Learn), an undergraduate Researcher working on human error prediction (with Python and a bit of R) and object manipulation tasks for robots (which involved building an android application in Java). Currently, I am a Product Manager intern at Style Theory, and a Software Engineer at Code for San Jose and The IO Foundation.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top talent is on Pangea

You are viewing Steven Hans's profile as a guest. Book a free call with our team to discuss your options for hiring fractional workers on Pangea's industry-leading talent marketplace.

Steven Hans Limantoro

Go
Express.js
Node.js
Web Development
React
Javascript
HTML/CSS
Data Mining
Data Analysis
Data Visualization
Deep Learning
Machine Learning
NumPy
Bash
Android
Dart
Software Development
Computer Science
C++
C
Python
Java
Matplotlib
Git
Assembly Language
JUnit
Apache Subversion
Visual Studio Code
TensorBoard
Available for hire fromNegotiable

Work History

S

Product Manager

Style TheoryMay 2021 - Present • 3 yrs 4 mos Expanded the resale capability through integrating and supporting multi-channel sales platform by leading cross-functional teams from engineering, design, operations, logistics, and merchandising Created PRD by gathering stakeholders' requirements and defining robust acceptance criteria Prioritized the feature list by defining urgency in product backlog, engineering bugs and limitations, and internal stakeholder requests
P

Researcher

People, AI, & Robots Research GroupJul 2020 - Nov 2020 • 5 mos Developed an Android app in Java to control robots to perform object manipulation tasks Scaled up telecommunication protocols for over 3000 concurrent users by implementing TCP and UDP using WebRTC API Implemented AR-based real-time motion tracking by integrating the application with ARCore Implemented UI using Layout Editor to allow users to connect to the server and perform their tasks
C

Researcher

Computational Social Science LabApr 2020 - Jul 2020 • 4 mos Developed a recommender system to predict users success at chess games with 60% accruracy by pre-processing and analyzing 1.5 billions of chess moves in Python Investigated the feature dominance of player rating using CBOW & Skip-Gram Word2Vec algorithm Analyzed the variability of user performance by applying hierarchical clustering on types of puzzles
D

Software Engineer

Decision Neuroscience LabSep 2019 - Mar 2020 • 7 mos Developed new software to analyze over 50,000 data points and 64 dimensions on subjects performing decision making tasks in Python Increased productivity by 80% and eliminated 10 hours/day of manual work by building an automated data pre-processing and visualization pipeline using NumPy, Pandas, and Matplotlib Implemented Support Vector Machine using Scikit-Learn and performed statistical analysis techniques to make predictions with 65% accuracy

Education

University of Toronto

Bachelor's Degree, Computer ScienceSep 2019 - May 2023

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
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