Hello there!

My Podcast : Courtesy of Google's Notebook LLM



Hello everyone,

I’m Kamal Shrestha, originally from the beautiful “Land of the Himalayas, Nepal”, and currently based in Bangalore, India, where I’ve been working for one and a half years.

— Education —

I completed my two-year Master of Technology (MTech) program offered by the Department of Computer Science and Engineering Department at the prestigious Indian Institute of Technology Hyderabad (IITH). I worked under the supervision of Dr. Maunendra Sankar Desarkar as part of my thesis research endeavors in collaboration with Swarajability Platform - India's First Job Portal with AI for Persons with Disabilities.

I finished my undergraduate B. Tech in Computer Engineering from Kathmandu University (KU) in 2020. I had a great time working with Prof. Dr. Prakash Poudyal and Prof. Dr. Bal Krishna Bal at KU.

— Belief/Drive —

Inspired by the saying “Pen is mightier than the sword”, I believe in the idea that language is humanity's most powerful tool as a means to share and distill knowledge across generations. This belief of mine drives my passion for exploring Machine Learning and Deep Learning primarily focused on Natural Language Processing.


Snow
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— Employments —

In the same pursuit, I have been working on driven projects in NLP space since 2018 , and it continues to fuel my excitement for what technology can achieve, more so now with the age of LLMs driving the innovation. As a professional, I bring over three years of experience as a MLE, specializing in SOTA cross-domain solutions to address business needs. My expertise lies in applied NLP, with a strong focus on designing and implementing end-to-end DL pipelines.

I was recently working with BOSCH Global Software Technology (BGSW) at Research and Technology Center (RTC) India as a Senior Applied Research Engineer since 17th August, 2023 to 15th January, 2025.

Previously, I have also worked as an Associate Machine Learning Engineer and Curriculum Engineer at Fusemachines, Nepal from July, 2020 till August 2021, under the supervision of Rojesh Man Shikhakar.

— Work —

Major part of my work focuses on working on a high-impact projects centered on leveraging Large Language Models (LLMs), open source as well as proprietary, that customize production-generated datasets and introduce interactive agents to streamline workflows, making business impacts and significantly enhancing operational efficiency.
I spend most of my time finding, implementing and trying to catchup with new and exciting technologies.

— Free Time —

Outside if work, I absolutely love cooking, moreso find it therapeutic. I enjoy playing all sports, love to travel, especially hiking from saddle to saddle. Fascinated with ancient history and culture. Finally, adore unwinding a busy day at work with some good movies and good food.

— Summary —

  1. Possess a comprehensive theoretical and practical foundation in machine learning and natural language processing, combined with hands-on experience in research and experimental design methodologies.
  2. Proficient in executing the deep learning pipeline encompassing various stages such as data analysis, data cleaning, pre-processing, model design, training, and model evaluation, primarily utilizing PyTorch, Scikitlearn (Sklearn), OpenCV, and other scientific Python libraries to achieve optimal results.
  3. Demonstrate excellent teamwork, communication, and writing skills honed through previous industry experience, research publications, poster presentations, and teaching engagements
  4. Previously worked as an Associate Machine Learning Engineer, Curriculum Engineer and a Computer Science Instructor
  5. Research Interests: Intersection of applied NLP, DL, and Classical ML Techniques