Bhagesh G.

AI/ML Mentor at GDSC IIIT Delhi-Google Developer Students Club
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
New Delhi, Delhi, India, IN

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • India
    • Software Development
    • 1 - 100 Employee
    • AI/ML Mentor
      • Aug 2023 - Present

      New Delhi, Delhi, India

    • Machine Learning Lead
      • Sep 2022 - Aug 2023

      New Delhi, Delhi, India As a key member of the Google Developer Students Club (GDSC) at IIIT Delhi, I've led hackathons and workshops on machine learning and deep learning, mentored budding AI enthusiasts, and organised various events under the GDSC umbrella, while actively participating in hackathons and events as a club representative.

    • Undergraduate Researcher
      • Jul 2023 - Present

      New Delhi, Delhi, India Conversational AI

    • India
    • Higher Education
    • 500 - 600 Employee
    • Student Senate President
      • Jul 2023 - Present

      New Delhi, Delhi, India

    • Placement Committee Batch Representative(BTech 2024)
      • Mar 2022 - Present

      New Delhi, Delhi, India • Assisting in placement operations at IIITD • Serve as a bridge between placement office and students. • Organised Startup Fair 2022 and Startup Fair 2023 @IIIT Delhi

    • Member @Évariste, The Math & Theoretical Computer Science Club
      • Jun 2022 - Jul 2023

      New Delhi, Delhi, India

    • Student Senate Batch Representative(BTech 2024)
      • Jun 2022 - Jun 2023

      New Delhi, Delhi, India

    • Convex Optimisation Teaching Assistant
      • Jan 2023 - May 2023

      New Delhi, Delhi, India • Providing assignment guidance • Invigilation and evaluation activities

    • India
    • Education Administration Programs
    • 1 - 100 Employee
    • Research Intern (ML Track)
      • Jul 2023 - Aug 2023

      New Delhi, Delhi, India Developed a Breast Cancer detection system using dicom images from patients' MRI scans in collaboration with Max Hospital, Saket, New Delhi (India) under the mentorship of Dr. Dhruv Kumar, Assistant Professor(CSE), IIIT Delhi. Benchmarked classic ML-based classifiers like XGBoost and developed Deep Learning based solutions utilising VIT and Swin Transformers with Bidirectional multimodal attention.

    • Australia
    • Software Development
    • 700 & Above Employee
    • Data Science Intern
      • May 2023 - Jul 2023

      Bengaluru, Karnataka, India I had an exciting summer at Atlassian, working with and learning from some of the sharpest product minds out there. During my internship, I was working as a Data Science intern in the Product Analytics team. The granular components of my project were as follows: ● Conducting opportunity sizing for initiatives, which were strategically outlined by product managers for the upcoming fiscal year. These initiatives aimed to introduce new functionalities to the Jira Service Management Product in… Show more I had an exciting summer at Atlassian, working with and learning from some of the sharpest product minds out there. During my internship, I was working as a Data Science intern in the Product Analytics team. The granular components of my project were as follows: ● Conducting opportunity sizing for initiatives, which were strategically outlined by product managers for the upcoming fiscal year. These initiatives aimed to introduce new functionalities to the Jira Service Management Product in order to stimulate and drive incremental purchases and monthly active users. ● Aiding product managers in identifying the key performance metrics that would demonstrate an uptick as result of any given initiative, consequently providing advantageous insights for the testing and experimentation stages. ● Analysing historical data from Atlassian's data infrastructure, which comprises enormous tables containing billions of records to understand and drive insights from customer journey to product development. ● Creating a standard framework for opportunity sizing within the Data Science team at Atlassian. Utilising such a standardised framework facilitates streamlined comparisons between initiatives, thus allowing informed choices concerning their prioritisation and maximising benefits with minimal investment. Tech Stack: SQL, Python, PySpark Skills: Analytical Skills, Problem Solving, ML and Optimization Show less

    • India
    • Events Services
    • 1 - 100 Employee
    • Sponsorship Coordinator
      • Jan 2023 - Apr 2023

      New Delhi, Delhi, India

    • India
    • Research Services
    • 1 - 100 Employee
    • Affective Computing Researcher
      • May 2022 - Apr 2023

      New Delhi, Delhi, India Continued to refine my live engagement prediction model, developed in partnership with Extramarks Education Pvt. Ltd. at HMI Lab, under the mentorship of Dr. Jainendra Shukla. Added more modalities to the model and fine tuned it for various use-cases.

    • India
    • Higher Education
    • 500 - 600 Employee
    • Computer Organization Teaching Assistant
      • May 2022 - Aug 2022

      New Delhi, Delhi, India • Conducting tutorials • Providing project guidance • Invigilation and evaluation activities

    • India
    • E-Learning Providers
    • 700 & Above Employee
    • Research And Development Intern
      • May 2022 - Aug 2022

      New Delhi, Delhi, India ● Worked on developing a machine learning model to determine student engagement during an online class in real time. ● Constructed a multi-modality model and a pyVHR, EmoFAN and OpenVino-based end-to-end pipeline.

    • India
    • Non-profit Organizations
    • 1 - 100 Employee
    • PR and Development Team
      • Jan 2021 - Aug 2022

      New Delhi, Delhi, India Hosting events and growing awareness towards Enactus IIITD's events and workshops.

    • India
    • E-Learning Providers
    • 100 - 200 Employee
    • Instructor
      • Jul 2020 - Aug 2020

      New Delhi, Delhi, India Introduced school students to Virtual Reality, Artificial Intelligence, and App Development, sparking their curiosity and inspiring them to explore these advanced Computer Science domains for future academic pursuits. Conducted beginner friendly classes on these topics.

    • India
    • Education Administration Programs
    • 1 - 100 Employee
    • Full-Stack Web Developer
      • May 2020 - Jul 2020

      New Delhi, Delhi, India ● Built front-end (using NextJS and ReactJS) and back-end (using NodeJS, ExpressJS and Firebase) website architecture. ● Developed user interactions on web pages and unit-test code for robustness, including edge cases, usability, and general reliability.

Education

  • Indraprastha Institute of Information Technology, Delhi
    Computer Science and Artificial Intelligence, Computer Science
    2020 - 2024
  • Delhi Public School, Vasant Kunj
    High School Graduation, PCM with Computer Science
    2017 - 2019
  • 2022 Qiskit Global Summer School 2022 on Quantum Simulations by IBM Quantum
    Certificate of Quantum Excellence, Quantum Computing, Quantum Simulations, Quantum Machine Learning, Quantum Chemistry
    2022 - 2022
  • 2021 Qiskit Global Summer School on Quantum Machine Learning
    Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning
    2021 - 2021
  • The Coding School
    IBM Quantum and The Coding School's Qubit x Qubit - Introduction to Quantum Computing, Quantum Computing
    2020 - 2021
  • Mount St. Mary's Delhi Cantt.
    Tenth Grade, Science(PCM) With Computer Science
    2004 - 2017

Community

You need to have a working account to view this content. Click here to join now