About me

I'm a student at UT Austin studying CS who's passionate about using my skills to build impactful applications.

I enjoy watching football, basketball, and swimming competitively. Besides sports, I'm interested in a variety of subjects and am always open to broadening my horizons. I'm eager to talk about anything so feel free to contact me at manas.jain@utexas.edu!

Experience


  • utd

    University of Texas at Dallas - Research Intern (Summer 2023)

    Researched and developed advanced logic programming techniques for AI applications, including common sense reasoning, question-answering, and conversational agents in order to monitor fetal health, while also implementing machine learning approaches to address challenges with AI in cybersecurity and medicine.
    Skills: Java, Python, Prolog

  • opc icon

    Oak Point Recreation Center - Lifeguard (Summer 2022-Present)

    Work collaboratively in a team to ensure patron safety, perform pool maintenance, train new lifeguards, and hold Red Cross certifications in CPR/AED, First Aid, Pathogen training, EpiPen administration, asthma management, and oxygen administration.

  • google

    Google's Code Next Connect - Student (January-June 2021)

    Mastered web development and web/game design skills to create two games and a finance tracker, while also mentoring underprivileged students in the program and sharing my knowledge and skills.
    Skills: JavaScript, HTML, CSS

  • mlc

    Murphy Learning Center - Private Tutor/Social Media Manager (Summer 2022 and 2023)

    Instructed students in Python, Java, and high school and college-level math aligned to national standards, while also managing the social media presence across multiple platforms, including revamping the website and fostering brand awareness.
    Skills: Java, Python, HTML, SEO


Projects

  • eatalytics

    Eatalytics

    Drawing from my own personal journey, I am co-creating a calorie tracking app designed to assist people in reaching or maintaining their dietary goals while also offering recipes tailored to support their specific objectives.

  • stock market predictor

    Stock Market Predictor

    Employed Python and machine learning techniques to develop a stock price prediction program utilizing historical data analysis and integrated email functionality to automate notifications.

  • security

    A Cheap and Efficient Security System

    Developed a security system by integrating machine learning techniques with Python, enabling real-time detection of faces and their visual representation through bounding boxes.

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Activities

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