Alfaaz Gouse

Product Manager / iOS Developer at Indiana School for The Deaf
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Contact Information
us****@****om
(386) 825-5501
Location
IN
Languages
  • English Native or bilingual proficiency
  • Hindi Native or bilingual proficiency
  • Chinese Limited working proficiency

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Bio

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Experience

    • United States
    • 1 - 100 Employee
    • Product Manager / iOS Developer
      • Jan 2022 - Present

      I am currently working with the Indiana School for the Deaf through Purdue University's Engineering Projects in Community Service (EPICS) program with the OCC team. Our EPICS team is developing an iOS app to serve as the communication channel between teachers and parents of over 300 hearing-impaired students to overcome language barriers. Along with being an iOS developer, I also serve as the project partner liaison tying together various stakeholders for the app. I am currently working with the Indiana School for the Deaf through Purdue University's Engineering Projects in Community Service (EPICS) program with the OCC team. Our EPICS team is developing an iOS app to serve as the communication channel between teachers and parents of over 300 hearing-impaired students to overcome language barriers. Along with being an iOS developer, I also serve as the project partner liaison tying together various stakeholders for the app.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Engineer Intern
      • May 2022 - Aug 2022

      – Created a voice-enabled Chat-bot to aid breast cancer patients in lowering their pain levels. – Captured information reported by patients and routed it to database so doctors could assist further. – Implemented decision tree algorithm to allow custom responses to patient input. – Proposed a patient reminder system to the client which got approved to check in with patients for their pain levels and remind them to take medicine. – Created a voice-enabled Chat-bot to aid breast cancer patients in lowering their pain levels. – Captured information reported by patients and routed it to database so doctors could assist further. – Implemented decision tree algorithm to allow custom responses to patient input. – Proposed a patient reminder system to the client which got approved to check in with patients for their pain levels and remind them to take medicine.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Autonomous Drones Research Assistant
      • May 2021 - Aug 2021

      Over the summer of 2021 I joined the Artificial Intelligence for Small Unit Maneuver (AISUM) team at Purdue University to contribute to autonomous drones research for the US Navy. Some of our accomplishments include having formulated and developed a waypoint and object detection model for autonomous drones to maneuver through tight spaces and access congested areas without crashing. We also achieved over 80% success rate for object detection without a single crash in Microsoft AirSim. Over the summer of 2021 I joined the Artificial Intelligence for Small Unit Maneuver (AISUM) team at Purdue University to contribute to autonomous drones research for the US Navy. Some of our accomplishments include having formulated and developed a waypoint and object detection model for autonomous drones to maneuver through tight spaces and access congested areas without crashing. We also achieved over 80% success rate for object detection without a single crash in Microsoft AirSim.

Education

  • Purdue University
    Bachelor of Science - BS, Computer Engineering
    2018 - 2022
  • The International School of Macau
    High School Diploma
    2007 - 2018

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