Daniel Lerner

Daniel Lerner Email and Phone Number

Senior Sales Engineer - Document Processing & AI/ML @ UiPath
90 Park Ave, New York, 10016, US
Daniel Lerner's Location
Boston, Massachusetts, United States, United States
Daniel Lerner's Contact Details

Daniel Lerner work email

Daniel Lerner personal email

n/a

Daniel Lerner phone numbers

About Daniel Lerner

Daniel Lerner is a Senior Sales Engineer - Document Processing & AI/ML at UiPath. He possess expertise in python, java, c#, software engineering, software development and 2 more skills.

Daniel Lerner's Current Company Details
UiPath

Uipath

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Senior Sales Engineer - Document Processing & AI/ML
90 Park Ave, New York, 10016, US
Website:
uipath.com
Employees:
1
Daniel Lerner Work Experience Details
  • Uipath
    Senior Sales Engineer - Document Processing & Ai/Ml
    Uipath Nov 2021 - Present
    New York, Ny, Us
  • Uipath
    Presales Technical Consultant
    Uipath Apr 2020 - Nov 2021
    New York, Ny, Us
  • Uipath
    Presales Engineer
    Uipath Aug 2019 - Apr 2020
    New York, Ny, Us
  • Ge Digital
    Digital Technology Leadership Program
    Ge Digital Jun 2017 - Jul 2019
    San Ramon, California, Us
    • Developed a system for the GE Healthcare Enterprise Parts Library (EPL) using Java, Polymer, and Pandas that recommends a list of related parts after a user has added a part to their engineering design, accelerating product development and promoting the reuse of standard parts.• Redesigned the EPL search functionality to prioritize parts targeted by GE Healthcare in order to advance strategic supplier partnerships and reduce shipping costs.• Led design and implementation for the Common Analytic Framework’s (CAF) Automapping feature using Java and React. Automapping reduces users’ time spent manually mapping hundreds of ports by automatically mapping all ports in an analytical model with a few clicks. • Saved hours of productivity for scientists and engineers by leading the design and implementation for CAF’s Log Download feature using Java and React. The feature allows users to efficiently investigate their analytics’ deployment failures by downloading logs with the click of a button.• Developed and deployed Pick-to-Light and Place-to-Light applications using a micro-services architecture and various technologies, such as MQTT, Docker, and Raspberry Pi, for a GE Power Automation & Controls plant. Both applications streamlined the building of printed circuit boards (PCB) by directing operators to what component to pick next and where to place it on the PCB. Successful deployment led to a 96% reduction in the plant’s maintenance expenses for a Pick-to-Light system.
  • Chevron
    Modeling & Analytics Intern
    Chevron Jun 2016 - Aug 2016
    San Ramon, Ca, Us
    • Designed and developed an analytics solution that predicts the performance status of pipelines and remaining lifespan of anode beds and rectifiers. The solution enhances corrosion prevention, facilitates more accurate budgeting and scheduling, and allows for integration with other pipeline protection systems.• Developed a classification tree based on aggregated historical data to predict an assets current level of performance in order for corrosion specialists to determine what assets may be in critical condition.• Designed and implemented a predictive model estimating an assets remaining lifespan to program maintenance repairs.• Designed and developed a Spotfire based user-interface to easily visualize performance trends and asset status.• Created technical documentation detailing system architecture, modeling criteria, and user-interface functionality.
  • Massachusetts Institute Of Technology
    Undergraduate Researcher – Use Of “Big Data” In Professional Sports
    Massachusetts Institute Of Technology Sep 2015 - May 2016
    Cambridge, Ma, Us
    • Acquired data from public sports websites regarding Major League Baseball using web scraping techniques in Java.• Developed scripts to collect player performance data, play-by-play results, and team rosters for 2016.• Created plots in R displaying results from analysis regarding a player’s performance and social media mentions.
  • Ge
    Software Engineering Intern
    Ge Jun 2015 - Aug 2015
    Boston, Ma, Us
    • Developed various software tools in order to help streamline the efforts and improve the performance of employees monitoring assets and machinery in Industrial Performance Reliability Centers. Tools included:• Automated AEG_06: Shortened turnover procedure from seven hours to ten minutes. Automated process determines if an asset’s default settings are properly set and its performance is ready to be monitored.• Case Report Generator: Shortened procedure for generating monthly case reports from two hours to five minutes.• Residual Threshold Manager: Recommended residual threshold values for a collection of assets based on data read from sensors and designated token values read from a lookup table.• Built a programming framework for testing a suite of software programs without the need for direct calls to the server in order to test functionality and expected outcomes and prevent corruption to customer assets.
  • Dominion Engineering Inc.
    Mechanical Engineering Intern
    Dominion Engineering Inc. Jun 2014 - Aug 2014
    • Assisted in multiple projects related to maintenance and advancement in nuclear power plant technology• Planned and led testing effort to determine capacity of filter modules to be used for development of boiling water nuclear reactors• Performed testing simulating leaking fuel rods in order to determine efficiency of vacuum sipping mechanism • Completed Solid Works models, assemblies, and drawings including components of a steam generator, laboratory floor plan, and filter assembly
  • Congressional Camp At Congressional Schools Of Virginia
    Camp Office Assistant, Camp Counselor
    Congressional Camp At Congressional Schools Of Virginia Jun 2013 - Aug 2013
    • Aided camp administrators in organizing camp activities• Handled and responded to questions and concerns from parents and campers• Supervised group of 10+ students participating in daily activities such as sports, swimming, and music
  • Apx Labs
    Research And Design Intern
    Apx Labs Jun 2012 - Aug 2012
    Herndon, Va, Us
    • Researched different methods behind interaction of Wi-Fi technology and robots• Designed, built and, programmed robot arm using Lynxmotion robotic parts, Arduino micro-controllers, and a Wi-Fi shield• Controlled robot via smart phone application after connecting to a Wi-Fi network

Daniel Lerner Skills

Python Java C# Software Engineering Software Development Javascript R

Daniel Lerner Education Details

  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Computer Science And Engineering

Frequently Asked Questions about Daniel Lerner

What company does Daniel Lerner work for?

Daniel Lerner works for Uipath

What is Daniel Lerner's role at the current company?

Daniel Lerner's current role is Senior Sales Engineer - Document Processing & AI/ML.

What is Daniel Lerner's email address?

Daniel Lerner's email address is da****@****ath.com

What is Daniel Lerner's direct phone number?

Daniel Lerner's direct phone number is +170329*****

What schools did Daniel Lerner attend?

Daniel Lerner attended Massachusetts Institute Of Technology.

What skills is Daniel Lerner known for?

Daniel Lerner has skills like Python, Java, C#, Software Engineering, Software Development, Javascript, R.

Who are Daniel Lerner's colleagues?

Daniel Lerner's colleagues are Ying Zhang, Priyanka Sogani, Oliver Fox, Nicole Mervine, Violeta Vasile, Kaan Güven, Brian Keane.

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