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I'm Arnav Kapoor, a Master's student specializing in Machine Learning and Computational Data Science at Carnegie Mellon University. Currently, I'm eagerly looking for full-time roles starting in January 2024.

• 🎓 Master in Computational Data Science, Carnegie Mellon University (GPA: 4.12/4.0) - Dec 2023 (Anticipated)

  • 🌟 Specialization in Machine Learning
  • 📚 Selective Courses: Machine Learning for Large Datasets, Deep Learning (PhD Level), Performance Modeling

• 🎓 BTech and MS in Computer Science and Engineering, International Institute of Information Technology, Hyderabad (GPA: 9.58/10.00)

  • 🏆 Dean’s Merit List (2017-2022), Undergraduate Research Award (2020)
  • 👨‍🏫 Teaching Assistant for Discrete Mathematics and Computer Systems Course

• 👨‍💻 Software Engineering Intern at Amazon

  • 📅 May 2022 (Graduated) - May 2023 (Seattle, WA)
  • 🚀 Instrumental in designing and implementing a chaos testing system to conduct gameday scenarios, reducing engineering hours by over 90%.

• 🌐 Summer Analyst at Goldman Sachs

  • 📅 Jun 2021 – Jul 2021 (Remote)
  • 📊 Designed and developed a Python API for seamless access to critical backend SecDB databases.

• 🌍 Global Alpha Researcher at Trexquant

  • 📅 Sep 2020 – Feb 2021 (Remote)
  • 📈 Worked on alpha strategy development using Machine Learning models for creating market-neutral portfolios.

• 🧠 Machine Learning Researcher at Social Computing Lab, Precog IIIT Hyderabad

  • 📅 May 2019 – May 2022 (Hyderabad, India)
  • 🐦 Developed models to predict suspended and restored accounts on Twitter and a Multi-Task Learning model for bail prediction in the legal domain, both with published research papers.

• 📺 Abstractive Video Summarization (Multimodal, Speech, Vision)

  • 🚀 Developed an end-to-end abstractive video summarization system using visual and audio features.

• 🔢 Number Parser (Software Engineering)

  • 💡 Built a popular number parser library during Google Summer of Code that converts numbers in natural language to numeric form.

• 💹 Price Prediction (NLP, Social Computing, Machine Learning)

  • 📈 Analyzed the impact of social media (Twitter) on NFT prices and developed models for asset valuation.

• 🌐 Microservices on Cloud (Cloud Computing, Software Engineering)

  • 🚢 Designed and executed a microservices architecture on AWS, including ETL processes and efficient web frameworks.

• 💻 Languages: C/C++, Python, Java, Go, JavaScript, MATLAB, SQL
• 🤖 Machine Learning: TensorFlow, PyTorch, Keras, Hugging Face
• 🛠️ Frameworks and Tools: ReactJS, Node.js, Flask, Git, Docker, Linux, Bash, LaTeX

• 📧 Email: [email protected]
• 🌐 LinkedIn: LinkedIn Profile
• 📚 Google Scholar: Google Scholar Profile