Christopher Correa

Christopher Correa Email and Phone Number

Quantitative Research Engineer at Conduit @
Christopher Correa's Location
San Jose, California, United States, United States
Christopher Correa's Contact Details

Christopher Correa work email

Christopher Correa personal email

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About Christopher Correa

Christopher Correa is a Quantitative Research Engineer at Conduit at Conduit. He possess expertise in java, python, microsoft word, powerpoint, research and 6 more skills.

Christopher Correa's Current Company Details
Conduit

Conduit

Quantitative Research Engineer at Conduit
Christopher Correa Work Experience Details
  • Conduit
    Quantitative Research Engineer
    Conduit Jun 2022 - Present
    - Signals and Strategy Research — Developed processes to fit models on market movements. Explored the effect of sampling schemes, objective labels, model selection criteria, and meta strategy parameters on backtest simulations and live performance. - Data Pipeline — Designed and owned a system to parse market events for live trading strategies or capture market events for model training. - Infrastructure — Designed a nightly AWS ETL pipeline to format multiple exchanges' data to efficient formats for model training that could also be used to backfill historical data. Managed infra to remotely manage and deploy strategies.
  • Osaro
    Autobagging Team Leader
    Osaro Feb 2022 - Jun 2022
    San Francisco, California, Us
    - Drove the technical roadmap for the team alongside a Product Manager- Managed a group of 7 engineers- Managed projects like item bounding box detection, item barcode scanning, oriented placement into a bagging machine, and robot and operator UIs.
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  • Osaro
    Software Engineer
    Osaro Jun 2019 - Feb 2022
    San Francisco, California, Us
    - Robot Policy Development — Re-architected the system design for all robot motions and policies to allow arbitrary policies to be chained together. Designed pick policies for suction cup grippers to intelligently approach items quickly without damage, increasing overall system cycle time by 240%. - Published a US patent (US20210081791) as a result of this work- Data Integrity — Developed various techniques to detect faulty sensors, obsolete camera calibration, etc. Created a data pipeline for per pick analytics and real time sensor streams. Created dashboards for per-SKU performance and analytics scripts to make informed policy decisions based on the recorded sensor data.- Testing — Developed an environment to simulate hardware and test robot policies for faster development without use of physical hardware and testing software on customer environments before deployment.
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  • University Of California, Berkeley
    Graduate Student Instructor
    University Of California, Berkeley Jan 2018 - Jun 2019
    Berkeley, Ca, Us
    I have taught EE 106B/206B (Robotic Manipulation and Interaction) for two semesters. The material in EE 106B/206B is directly relevant to the research I have been conducting in the AutoLab. I generate homework problems and labs for the students and grade both. I teach Discussions with small groups of students and hold office hours to reinforce the course material.
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  • Uc Berkeley Autolab
    Researcher
    Uc Berkeley Autolab Jan 2016 - Jun 2019
    Conduct research in Robotic Manipulation, Computer Vision and Path Planning incorporating Machine Learning and Artificial Intelligence. Developed models for Toppling and Pushing to increase access to robust parallel jaw and suction cup grasps. Using a hybrid of Imitation Learning and Model Predictive Control, I significantly reduced the number of trajectories required versus a traditional Imitation Learning path planning policy learned from the Covariant Hamiltonian Optimal Motion Planner (CHOMP). Using Depth Images, I am developing a self-supervised policy to predict Rigid Body Transforms of objects. This policy can then be used to accelerate training of downstream tasks like predicting grasp quality, and can be used to reduce the number of labelled datapoints required for downstream tasks.
  • Facebook
    Software Engineering Intern
    Facebook May 2018 - Aug 2018
    I created a Messenger Bot which would allow the developers on the Crowdsourcing team to better understand how Facebook user claims were processed through the Crowdsourcing pipeline for faster development. To do this, I studied the feedback from Facebook Employees outside of the Crowdsourcing team and came up with a roadmap of functionality I deemed to be essential or desirable in the Messenger Bot, and presented this to my team. I then implemented the features according to this roadmap I laid out.
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  • Facebook
    Software Engineering Intern
    Facebook May 2017 - Aug 2017
    Using ElasticSearch, I modified the Facebook Career website to remove Facebook’s dependence on Salesforce to back the data displayed on each page. This had two benefits: speed and reliability. It reduced certain page load times from upwards of 10-15 seconds to under 1. Facebook was limited in the number of Salesforce DB queries it could make each day. This project reduced the number of times Facebook reached its daily capacity.
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  • Cloudminds Technologies
    Software Engineering Intern
    Cloudminds Technologies May 2016 - Aug 2016
    Irvine, California, Us
    Using ROS, I created an interface to easily send collision free joint trajectory commands to the 7Bot and Yumi robots. This system could use several different path planners, such as CHOMP and RRT* to determine the optimal collision free path. I used the Yumi robot for real time path planning and collision avoidance to play a game of chess. This work was part of the Brass project.
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  • Strongauth, Inc
    Software Engineering Intern
    Strongauth, Inc May 2015 - Aug 2015
    Sunnyvale, Ca, Us
    Added strong-authentication to OpenMRS (Open Medical Record System) using StrongKey CryptoEngine to enable encryption, digital signatures and FIDO Universal 2nd Factor (U2F). StrongAuth is in the process of contributing this feature back to OpenMRS.
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  • Gurukulam
    Computer Science Instructor
    Gurukulam Jun 2014 - Aug 2014
    Taught the equivalent of AP Computer Science
  • Bellarmine College Preparatory
    Robotics Teachers Assistant
    Bellarmine College Preparatory Jun 2014 - Jul 2014
    San Jose, Ca, Us
    View

Christopher Correa Skills

Java Python Microsoft Word Powerpoint Research English Solidworks Customer Service Windows Teaching Leadership

Christopher Correa Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Electrical Engineering And Computer Science (Eecs)
  • University Of California, Berkeley
    University Of California, Berkeley
    Electrical Engineering And Computer Science (Eecs)
  • Bellarmine College Preparatory
    Bellarmine College Preparatory
    High School

Frequently Asked Questions about Christopher Correa

What company does Christopher Correa work for?

Christopher Correa works for Conduit

What is Christopher Correa's role at the current company?

Christopher Correa's current role is Quantitative Research Engineer at Conduit.

What is Christopher Correa's email address?

Christopher Correa's email address is ch****@****nds.com

What schools did Christopher Correa attend?

Christopher Correa attended University Of California, Berkeley, University Of California, Berkeley, Bellarmine College Preparatory.

What skills is Christopher Correa known for?

Christopher Correa has skills like Java, Python, Microsoft Word, Powerpoint, Research, English, Solidworks, Customer Service, Windows, Teaching, Leadership.

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