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Computer Science

AFRL
(MILITARY RESEARCH)

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  • ROLE: MACHINE LEARNING INTERNSHIP

  • 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

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I ALSO IMPLEMENTED A WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK TO CREATE SYNTHETIC POINTS OF TARGETING DATA FOR AIR FORCE TRAINING SCENARIOS

NASA
(SPACE EXPLORATION RESEARCH)

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  • ROLE: ARTIFICIAL INTELLIGENCE INTERNSHIP

  • DATES: SUMMER 2020

 

LED RESEARCH DIRECTION FOR MACHINE LEARNING COMPONENTS OF RESEARCH IN A.I. FOR SPACECRAFT RESILIENCE (RAISR) PROJECT

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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
(ACADEMIC RESEARCH)

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  • ROLE: RESEARCH FELLOW AT AIR GROUP

  • DATES: FALL 2020 - SPRING 2021

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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

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AUTHORED RESEARCH PAPER SIMULTANEOUS MULTIMODAL OBJECT EXPLORATION AND DIALOG FOR HUMAN-ROBOT-OBJECT INTERACTION, WHICH IS CURRENTLY NOT PUBLISHED

NASA
(SPACE EXPLORATION RESEARCH)

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  • ROLE: ARTIFICIAL INTELLIGENCE INTERNSHIP

  • 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

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CO-AUTHORED RESEARCH PAPER AUTONOMOUS SYSTEM-LEVEL FAULT DIAGNOSIS IN SATELLITES USING SPACECRAFT TELEMETRY, WHICH WAS PUBLISHED IN SMALLSAT CONFERENCE 2022

FORMLABS
(3D PRINTER MANUFACTURING)

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  • ROLE: SOFTWARE DEVELOPMENT INTERNSHIP

  • DATES: SUMMER 2022

 

CODED UPDATES AND IMPROVEMENTS FOR FACTORY SOFTWARE ON ALL FORMLABS PRODUCTS

 

SIGNIFICANTLY IMPROVED MANUFACTURING YIELD OF FORM3 PRINTERS BY CHANGING AN UNDERLYING COMPUTER VISION ALGORITHM THAT THE 3D PRINTER WAS USING

EPIC
(MEDICAL SOFTWARE)

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  • ROLE: SOFTWARE DEVELOPMENT

  • DATES: FALL 2022 - PRESENT

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PROGRAMMED MACHINE LEARNING PROJECTS FOR NATURAL LANGUAGE PROCESSING APPLICATIONS, WITH AN EMPHASIS ON LLMs (GPTs, BERTs), GENERAL DATA SCIENCE, AND MODEL SECURITY

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