Present

At the User Experience Group at AMD, Markham, we are working at the cross-roads of Computer Vision, Natural Language Processing and Machine Learning to improve gaming experience using Radeon Software.

Masters in Applied Computing @ University of Toronto

I finished the Masters in Applied Computing program at the University of Toronto with specialization in Artificial Intelligence on December 2023. These four courses shaped my masters experience:

  • Internship at AMD, Markham on Computer Vision for Video Games
  • Deep Learning and Neural networks
  • Statistical Machine Learning
  • Computational Imaging

Diploma in Data Science @ IIT Madras

In order to focus in the Artificial Intelligence domain after working in the software engineering sector for four years, I decided to pursue a diploma. I completed an online diploma program in Data Science from Indian Institute of Technology, Madras on July 2022. Notable courses in this program were:

  • Statistics
  • Machine Learning Foundations and Techniques
  • Linear Algebra, Probability Theory and Combinatorics

Senior Member Technical @ D. E. Shaw India

I worked with the Systems team from 2018 to 2022. The Systems team developed and managed internal applications to provide software infrastructure to the entire firm. As a full stack DevOps Engineer, I had to develop, test and maintain internal applications. I also worked as on-call escalation support for maintaining our Windows and Linux servers and applications running on them. Some notable examples of internal applications include:

  • Hardware Inventory management
  • Permission management
  • Credential manager which runs locally for fast access to resources
  • Slack app integration for critical server alerts

Bachelors in Computer Science @ IIT Patna

I completed Bachelors degree in Computer Science from Indian Institute of Technology, Patna on May 2018. Following courses influenced me the most as part of this journey:

  • Bachelors Thesis in Natural Language Processing using Deep Learning
  • Artificial Intelligence
  • Data Structures and Algorithms
  • Computer Networks
  • Operating Systems

During my second year, I completed a 3 months long summer internship at Cigniti, Hyderabad, India. Here, I explored cloud services to develop machine learning pipelines using drag and drop UI and deploy them in cloud. This is when I completed the famous Coursera machine learning course by Andrew Ng.

My third year saw me work as a summer intern at Elsevier, Chennai, India. I was able to secure this internship due to recommendation by my bachelors thesis supervisor, Prof. Asif Ekbal. The work I had done at AI-NLP-ML lab in IIT Patna under his supervision was useful in this internship. I created a pipeline to extract the contents from a corpus of research papers in medical domain. Clean and extract TF-IDF features from the contents. Built an unsupervised clustering model using Non-Negative Matrix Factorization to extract meaningful cluster of topics from the corpus.