Portfolio

A brief introduction About Me!


Experience

Research Intern @ Microsoft Research India

July 2024 - Present

Working on applications of AI in Industry and Energy. Collaborating with Sameer Segal, Srinivasan Iyengar, and Shivkumar Kalyanaraman to develop Generative AI solutions for industrial use.

Visiting Student Researcher @ UdeM

July 2023 - December 2023

Thesis on "Evaluating the Equity of AI Algorithms while Learning-to-Rank," supervised by Prof. Shin Koseki. Also contributed to urban planning research on public space equity through the MITACS GRI Fellowship.

Software Development Intern @ Atlassian

June 2023 - July 2023

Developed a Knowledge Base Assistance prototype, leveraging Generative AI to improve resolution time for self-service tickets by ~35%, enhancing support for the Atlassian Suite.

Research Intern @ AIISC:

September 2022 - March 2023

Worked on creating a novel analogical reasoning benchmark for evaluating analogical reasoning capabilities of LLMs inspired from cognitive science. Also contributed to a project in Physics Inspired Neural Networks to find flaws and improve performance of LLMs, influenced by the impossible triangle of the Pre-trained LLMs.

Summer Research Intern @ CSIR-CEERI Pilani:

May 2022 - July 2022

Worked on Image Inpainting Using Partial Convolutional U-Nets for Ancient Image Restoration. I used different types of GANs and UNets to restore Ancient Indian Mural Images for virtual culture preservation.


Projects

To view my detailed projects, visit the Projects Page.


Teaching Experience

  • CS F425 - Deep Learning

    January 2024 - May 2024

  • CS F211 - Data Structures and Algorithms

    January 2023 - May 2023

  • CS F214 - Logic in Computer Science

    July 2022 - December 2022


Technological Proficiency

  • Programming Languages: Python | C/C++ | Java | SQL | C#
  • Python Modules: TensorFlow | Keras | PyTorch | PyTorch Lightning | Scikit-learn | Numpy | Matplotlib | BeautifulSoup | PIL-Image | OpenCV
  • Software: MATLAB
  • Operating Systems: Windows | Linux (Ubuntu) | MacOS (Unix)

Education

BITS Pilani, Goa Campus (Goa, India)
B.E. Computer Science, Minor in Data Science

2020 - 2024

Late P.B. Jog Junior College of Science and Commerce (Maharashtra, India)
Maharashtra State Board of Higher Secondary Education (HSC)

2019 - 2020


Positions of Responsibility

    Treasurer and Publicity & Design Head @ Nirmaan Goa Chapter

    March 2022 - April 2023


Volunteer Experience

    Academic Mentor @ BITS Goa

    December 2021 - May 2022

    Mentored juniors through the Academic Assistance Program 2021-2022 for Engineering Graphics.

    NGO Tutor @ Nirmaan Goa Chapter

    November 2020 - April 2022

    Tutored and mentored 5th standard students from urban slums near the university campus.


Awards

  • July 2023

    MITACS Globalink Research Fellowship - Selected among the top 10% of applicants for a fully funded Canadian research internship.


Relevant Electives Completed

Machine Learning (BITS F464)

Deep Learning (CS F425)

Reinforcement Learning (CS F317)

Foundations of Data Science (CS F320)

Applied Statistical Methods (MATH F432)

Operating Systems (CS F372)

Theory of Computation (CS F351)

Computer Networks (CS F303)

Logic in Computer Science (CS F214)

Compiler Construction (CS F363)

Computer Architecture (CS F342)

Design and Analysis of Algorithms (CS F364)

Principles of Programming Languages (CS F301)

Data Structures & Algorithms (CS F211)

Database Systems (CS F212)

Object Oriented Programming (CS F213)

Discrete Structures for Computer Science (CS F222)

Microprocessors and Interfacing (CS F241)

Digital Design (CS F215)


Certifications

  • Building Transformer-Based NLP Applications
    Nvidia Deep Learning Institute

    Learned about ONNX and TensorRT for optimized GPU training using a BERT-based model for various NLP tasks.