Anubhav Tyagi

SWE-ML @ Google | ex-Goldman Sachs

Bengaluru, Karnataka, India

About

As an Associate at Goldman Sachs, I apply my skills and knowledge in natural language processing (NLP) and machine learning (ML) to develop and improve solutions for various business problems. I work with a team of talented and diverse professionals who share my passion for innovation and excellence. I graduated from Indian Institute of Technology, Guwahati with a Bachelor of Technology in Computer Science, where I learned the fundamental concepts and principles of computer science, such as data structures, algorithms, databases, and operating systems. I also explored various domains, such as web development, android programming, and reinforcement learning (RL), by working on projects in each domain. My goal is to continue learning and growing as a computer scientist and a professional, and to contribute to the advancement of technology and society. I am always curious and enthusiastic to learn new things, and I value collaboration and teamwork. I would love to connect with you and exchange ideas and insights.

Experience

  • Software Engineer III at Google
    Dec 2024 - Present · 1 yr 7 mos

  • Goldman Sachs (Full-time · 3 yrs 7 mos)
    • Associate Software Engineer
      Jan 2024 - Dec 2024 · 1 yr

    • Software Engineer
      Jun 2021 - Jan 2024 · 2 yrs 8 mos

  • Undergraduate Researcher at Indian Institute of Technology, Guwahati
    Aug 2020 - Apr 2021 · 9 mos

    • Worked on the problem of finding semantically similar image pairs given a dataset of images and a query image under the guidance of Dr. Amit Awekar, Assistant Professor, Indian Institute of Technology Guwahati • Described methods to convert images to Scene Graphs and employed graph similarity metrics namely Vertex-Edge Overlap and Graph Edit Distance to compute similarity between image pairs • Developed algorithm inspired from Hungarian Algorithm to incorporate partial match score between vertex labels in scene graphs to better adapt the graph similarity metrics to image similarity problem

  • Summer Analyst at Goldman Sachs
    May 2020 - Jun 2020 · 2 mos

    • Worked with Data Strategy Team in Global Investment Research Division • Worked on automating the calculation of Macro Data Assessment Platform (MAP) Scores to replace the conventional excel sheets • Used Python and Pandas to analyse time series data of various indicators, to compute MAP scores on a daily basis and write them in the database

  • Developer at Indian Institute of Technology, Guwahati
    Aug 2018 - Mar 2019 · 8 mos

    Developed Django-based website for students of IIT Guwahati to facilitate sharing blogs and information about events and club activities taking place in campus, and conducting polls about various matters of the campus.