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@ponnadalakshmideepth
IT student skilled in full-stack web, machine learning, and UX design, delivering impactful technical solutions.
IndiaI am a B.Tech Information Technology student with hands-on experience in machine learning, web development, and AR-based usability research. I built a Brain Stroke Predictor using TensorFlow that achieved 98.63% accuracy and developed full-stack projects that improved operational efficiency.
My internship work involved user research and creating interactive 3D medical models for immersive training, blending technical rigor with user-centered design. I have completed cloud and cybersecurity virtual internships and strengthened algorithmic problem solving by solving 150+ LeetCode problems.
As Deputy Vice President of my college E-Cell and Head of Design for the NEC Team, I lead initiatives, mentor startups, and manage design teams to deliver user-centric products. I seek roles where I can apply ML, web development, and UX skills to build scalable, impactful solutions.
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Work history, roles, and key accomplishments
Institute of Aeronautical Engineering
May 2024 - Nov 2024 (6 months)
Conducted user research and usability studies for AR-based medical simulations and assisted in developing interactive 3D medical models to improve immersive training outcomes.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Information Technology
Grade: 8.28
Activities and societies: Deputy Vice President, E-Cell IARE; Head of Design, NEC Team; Summer Research Intern (May 2024 – Nov 2024)
Pursuing B.Tech in Information Technology with a GPA of 8.28, expected completion in 2026.
Intermediate, Mathematics, Physics, Chemistry (MPC)
2020 - 2022
Grade: 9.7
Completed Intermediate in MPC with a GPA of 9.7 from 2020 to 2022.
10th Class (CBSE), General Secondary Education
Grade: 9.02
Completed 10th Class under CBSE with a GPA of 9.02 in 2020.
Software and tools used professionally
IndiaYou can contact PONNADA and 90k+ other talented remote workers on Himalayas.
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