Aneesh Patnaik

Undergraduate Research Assistant at Dartmouth College Computer Science Department
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area

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Credentials

  • Software Engineering Virtual Experience Program
    Hewlett Packard Enterprise
    Dec, 2022
    - Nov, 2024
  • Mobile Engineering Virtual Experience Program Participant
    Lyft
    Jun, 2022
    - Nov, 2024
  • Data Specialist
    Domo, Inc.
    Aug, 2021
    - Nov, 2024

Experience

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Undergraduate Research Assistant
      • Mar 2023 - Present

      Researching existing methods and models for facial pose estimation and facial expression recognition, for the DEV Studio’s Deep Screens project. Utilizing machine learning models in PyTorch to analyze the relationship of actors’ gestures to the emotions they convey to understand the change in emotionality over time. Researching existing methods and models for facial pose estimation and facial expression recognition, for the DEV Studio’s Deep Screens project. Utilizing machine learning models in PyTorch to analyze the relationship of actors’ gestures to the emotions they convey to understand the change in emotionality over time.

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Lead Developer
      • Sep 2022 - Present

      Developed a minimum viable product for KULLA, which transforms 2D floor plans into 3D CAD files. Using HTML, CSS, and JavaScript for the frontend and AWS for a serverless backend. Developed Python web crawlers to extract user data from social media platforms, including Tiktok, Instagram, and Facebook. Collaborated with Feature Engineering team to classify and extract relevant user information to identify 10,000+ potential customers for a client. Developed a minimum viable product for KULLA, which transforms 2D floor plans into 3D CAD files. Using HTML, CSS, and JavaScript for the frontend and AWS for a serverless backend. Developed Python web crawlers to extract user data from social media platforms, including Tiktok, Instagram, and Facebook. Collaborated with Feature Engineering team to classify and extract relevant user information to identify 10,000+ potential customers for a client.

    • United States
    • Financial Services
    • 700 & Above Employee
    • Software Developer Sophomore Discovery Day
      • Mar 2023 - Mar 2023

    • United States
    • Higher Education
    • 200 - 300 Employee
    • Undergraduate Research Assistant
      • Nov 2022 - Mar 2023

      Worked in AI for Mental Health Lab. Built user interfaces for survey instruments, in Flutter/Dart for a cross platform mobile app, MoodTriggers. Updated mobile sensor logging capabilities for sensor data storage in local SQL databases, to track app usage. Worked in AI for Mental Health Lab. Built user interfaces for survey instruments, in Flutter/Dart for a cross platform mobile app, MoodTriggers. Updated mobile sensor logging capabilities for sensor data storage in local SQL databases, to track app usage.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Computer Science Teaching Assistant
      • Jan 2022 - Nov 2022

      TA for Problem Solving via Object-Oriented Programming Leading weekly recitation sessions to practice and solidify core concepts taught during lectures. Holding office hours several times per week to explain complex concepts, help debug students’ Java code, while emphasizing runtime and memory efficiency. TA for Problem Solving via Object-Oriented Programming Leading weekly recitation sessions to practice and solidify core concepts taught during lectures. Holding office hours several times per week to explain complex concepts, help debug students’ Java code, while emphasizing runtime and memory efficiency.

    • United States
    • Software Development
    • 200 - 300 Employee
    • Summer Intern
      • Jul 2021 - Aug 2021

      Created visualizations using SQL and Domo Suite Tools. Developed interactive dashboard to understand the professional backgrounds of clients and why they used EdCast’s platform Created visualizations using SQL and Domo Suite Tools. Developed interactive dashboard to understand the professional backgrounds of clients and why they used EdCast’s platform

Education

  • Dartmouth College
    Bachelor's degree, Computer Science
    2021 - 2025
  • The Hun School of Princeton
    High School Diploma
    2017 - 2021

Community

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