Nicholas Harder Email & Phone Number

Charlottesville, VA, US

Ann Arbor, Michigan, United States

• Research a machine learning approach to reduce uncertainty in climate forcing by researching, proposing, designing, and implementing CNN, FNN, and GBDT models on both real world and modeled data.
• Co-author a paper to publish findings and secure $600,000 in phase-II funding.
• Deconstructed the black box of the models using SHAP feature importance, forward selection, and backward elimination.
• Developed an algorithm to efficiently interpolate and clean-up hundreds of millions of… Show more
• Developed an algorithm to efficiently interpolate and clean-up hundreds of millions of NASA datapoints.
• Secured thousands of dollars in research credits and fielded technical questions at the MIDAS AI Summit. Show less

Warren, Michigan, United States

• Created shell and python scripts hosted on Jenkins to automate HHS signing of daily builds resulting in a streamlined process that reduced the number of failed builds by over 40% and saved 500+ hours annually.
• Mentored a new intern by being a point of contact and aiding with both technical and general questions.

Warren, Michigan, United States

• Designed and integrated software from requirements documentation utilizing DFMEA life cycle.
• Performed validation testing on multiple international regions’ APNs ensuring global security.
• Proposed and created a validation test script that saves hundreds of hours and approx. $50,000+ annually.

Ann Arbor, Michigan, United States

• Led a team of three developers, in an agile environment, through the complete site lifecycle of the fastest growing collegiate opinion publication in the Midwest, scaling and automating the publication process.
• Successfully integrated a content management system to facilitate dynamic article generation resulting in over a 200% increase of article output per edition.

Ann Arbor, Michigan, United States

• Co-authored an IEEE International Conference on RFID – Protocols and Security paper focused on developing techniques to extract information from wireless communication collisions using deep learning.
• Designed and trained FNN and CNN models on millions of generated synthetic data enhancing the performance of existing anti-collision protocols.
• Boosted the performance of the standard frame slotted ALOHA (FSA) protocol over 375% by leveraging the gathered collision metadata.

• Excelled in a mentorship designed to teach best practices and build technical resilience.
• Collaborated in team settings and smaller breakout rooms to tackle industry challenges.
• Received personalized guidance through multiple 1:1 sessions with Microsoft mentors.

San Diego, California, United States

• Developed an internal multimedia data server boosting security, consistency, and transparency for testing.
• Managed projects, revised and adapted requirements, interfaced with international clients, and provided knowledge transfers.
• Features include: IPv4 and IPv6, HTTP download/upload (up to 40GB), UDP, multibit rate audio RTSP, MPEG-DASH adaptive bitrate video streaming (4k), display and storage of client activity, support of 5 clients.

San Diego, California, United States

• Developed a deep learning model trained on Google Cloud Computing TPUs to auto-triage farm logs.
• Generated synthetic data to increase training robustness.
• Identified root cause of failure and directed notification to the appropriate farm engineers for resolution.
• Streamlined farm engineers' workload, optimizing time and resource allocation.

San Diego, California, United States

• Created 5G mmW chamber/DUT calibration routines, log analysis parsers, automation framework, and a browser-based 5G Test UI Suite for creating, validating, and running 5G Keywords and Scenarios.
• Utilized by 40+ engineers and numerous other cross-functional teams saving hundreds of hours annually.
• Selected by a panel of Qualcomm employees as the winner of Qualcomm’s Recruitment Video Contest.

San Diego, California, United States

• Developed feature enhancements, created Splunk dashboards, implemented new databases, integrated both auto-triaging and prioritizing, crafted design documents, and aided in the transition from Perforce to Git.
• Winner of the “Best first-time hackathon project” at Hack Mobile out of a pool of over 400+ interns.