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Nissanth ViswanathanNV
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Nissanth Viswanathan

@nissanthviswanathan

Engineering Physics student at IIT Delhi who developed a YOLO system to monitor wind turbine gearbox assembly.

India
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At ZF Wind Power, I developed a computer vision system and web application for autonomous supervision of wind turbine gearbox assembly. It monitored assembly stages and logged inspection data in real time.

For the IIT POKERBOTS competition, I developed a custom poker bot using Monte Carlo simulations to estimate hand equity in real time. It placed in the Top 100 among more than 400 bots.

In the QRT Quant Competition, I developed a quantitative trading strategy using machine learning and financial factors to construct and optimize a portfolio. The strategy earned a Top 15 rank at IITD in the first round.

I’m studying Engineering Physics at Indian Institute of Technology Delhi. My technical work spans quantitative finance, machine learning, data analysis, and computer vision.

Experience

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Education

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Indian Institute of Technology Delhi logoID

Indian Institute of Technology Delhi

B.Tech, Engineering Physics

Grade: 5.81

Pursuing a B.Tech in Engineering Physics with a CGPA of 5.81.

SS

Sri Chaitanya Techno School

CBSE, CBSE

Grade: 458

Completed CBSE board examinations in 2024 with 458 marks.

SS

Sri Chaitanya Techno School

CBSE, CBSE

Grade: 472

Completed CBSE board examinations in 2022 with 472 marks.

Tech stack

Software and tools used professionally

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