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Atharv P. — Mid-Level Quantitative Research Intern from India

Atharv P.

Mid-Level Quantitative Research Intern

India Less than 1 year
Open to offersNew to Platform
Languages
HindiEnglishJapa
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About

Atharv P. is a promising talent currently pursuing a B.Tech in Mechanical Engineering at the prestigious Indian Institute of Technology, Bombay, and enriching his expertise through the Global Consumer Intelligence AI and Data Science Program at The University of Tokyo. As a Quant Research Intern at Quant Finance Institute, he is deeply involved in developing quantitative models and performing extensive backtesting for algorithmic trading. His role entails building comprehensive research workflows that align with industry standards for market risk and fixed income. As a Research Intern at Synthica, he is exploring advanced scientific methodologies. At IIT Bombay, he assists in researching brain-inspired neural networks, leveraging high-performance Python for developing data-efficient deep learning architectures. Atharv also contributes as a Google Student Ambassador, organizing technical workshops that integrate Google’s Gemini AI into academic communities. With certifications from Stanford and Imperial College London, and notable achievements like securing high ranks in coding competitions, Atharv exhibits a strong command over languages such as C++ and Python, and core competencies in stochastic modeling.

Experience

  • Quant Research Intern

    Quant Finance Institute (QFI) · 2026 — Present
    Developing quantitative models and conducting rigorous backtesting with large-scale financial data for algorithmic trading and derivatives pricing. Building end-to-end research workflows based on industry standards for market risk, fixed income, and volatility modeling.
  • Research Intern

    Synthica · 2026 — Present
    Selected for a Research Intern position at the Summer Institute of Science, Technology and Engineering.
  • Undergraduate Research Assistant (SURP)

    Indian Institute of Technology (IIT) Bombay · 2026 — Present
    Researching Brain-Inspired Neural Networks to create data-efficient and robust deep learning architectures based on biological principles like synaptic plasticity and modularity. Translating theoretical neuroscience frameworks into functional computational models using algorithmic optimization and high-performance Python.
  • Google Student Ambassador

    Google · 2026 — Present
    Leading technical workshops and product trials to facilitate the integration of Google’s Gemini AI within campus coding communities.

Skills & Expertise

Education

  • B.Tech in Mechanical Engineering
    Indian Institute of Technology (IIT) Bombay · 2025 — Present

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