Computer Science
AFRL
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ROLE: MACHINE LEARNING INTERNSHIP
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DATES: SUMMER 2019
I DEVELOPED A NATURAL LANGUAGE PROCESSING PROGRAM TO CLASSIFY UNSTRUCTURED TEXT DATA FROM COMMAND & CONTROL OPERATIONS CHATROOMS, AND RESPOND TO QUESTIONS WITH AN INTELLIGENT CHATBOT
I ALSO IMPLEMENTED A WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK TO CREATE SYNTHETIC POINTS OF TARGETING DATA FOR AIR FORCE TRAINING SCENARIOS
NASA
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ROLE: ARTIFICIAL INTELLIGENCE INTERNSHIP
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DATES: SUMMER 2020
LED RESEARCH DIRECTION FOR MACHINE LEARNING COMPONENTS OF RESEARCH IN A.I. FOR SPACECRAFT RESILIENCE (RAISR) PROJECT
CODED LONG SHORT-TERM MEMORY NETWORK (LSTM) FOR PROCESSING SATELLITE TELEMETRY DATA, AND INVENTED "LSTM IMPORTANCE SAMPLING" ALGORITHM TO MAKE LSTM OUTPUTS MORE EXPLAINABLE TO A HUMAN
SUNY RESEARCH FOUNDATION
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ROLE: RESEARCH FELLOW AT AIR GROUP
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DATES: FALL 2020 - SPRING 2021
DEVELOPED A SYSTEM TO COMBINE MULTI-MODAL SENSING WITH A DIALOGUE SYSTEM SUCH THAT A REINFORCEMENT LEARNING AGENT COULD AUONOMOUSLY COMPARE PROPERTIES OF A PHYSICAL OBJECT WITH THOSE OF A THEORETICAL OBJECT BEING DISCUSSED CONVERSATIONALLY WITH A HUMAN
AUTHORED RESEARCH PAPER SIMULTANEOUS MULTIMODAL OBJECT EXPLORATION AND DIALOG FOR HUMAN-ROBOT-OBJECT INTERACTION, WHICH IS CURRENTLY NOT PUBLISHED
NASA (AGAIN)
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ROLE: ARTIFICIAL INTELLIGENCE INTERNSHIP
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DATES: SUMMER 2021
RETURNED TO NASA TO DEVELOP AN EXPLAINABLE REINFORCEMENT LEARNING APPROACH TO THE RAISR PROBLEM I'D BEEN WORKING ON THE PREVIOUS SUMMER
CO-AUTHORED RESEARCH PAPER AUTONOMOUS SYSTEM-LEVEL FAULT DIAGNOSIS IN SATELLITES USING SPACECRAFT TELEMETRY, WHICH WILL BE PUBLISHED IN SMALLSAT CONFERENCE 2022
FORMLABS
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ROLE: [WILL BE DOING AN INTERNSHIP]
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DATES: SUMMER 2022
PLANNING TO WORK AT FORMLABS IN BOSTON, MA FOR SUMMER 2022
I WILL LIKELY BE DOING COMPUTER VISION WORK
EPIC SYSTEMS
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ROLE: [WILL BE A FULL TIME SOFTWARE DEVELOPER]
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DATES: FALL 2022 - PRESENT
PLANNING TO WORK AT EPIC SYSTEMS IN VERONA, WI, AFTER THE COMPLETION OF MY FORMLABS INTERNSHIP
I WILL LIKELY BE DOING MACHINE LEARNING WORK