About

Abonia Sojasingarayar

I am distinguished Machine Learning Scientist, Data Scientist, Large Language Model Engineer, NLP Engineer, and Technical Book Reviewer, holds a Masters degree in Artificial Intelligence and boasts over 7 years of experience. With a robust background in crafting and implementing ML systems across diverse domains, including cybersecurity, banking, transit,cosmetics & hygiene research, and e-commerce. Find me on Medium, Google Scholar, GitHub, and LinkedIn, where I mentors others and communicates complex solutions effectively.

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Learn AI with Me

I used to create YouTube tutorials where I shared the cutting-edge AI knowledge I acquired. You can watch one of my recent tutorials here.

  1. About
    1. Learn AI with Me
    2. AI Magazine & Newsletter
  2. Career Milestone: Technical Book Reviewer Role
    1. đź“– Highlights of the Book
  3. Book Reviews
    1. The LLM Engineer’s Handbook
    2. Mastering NLP from Foundations to LLMs
    3. Transformers for Natural Language Processing and Computer Vision - Third Edition
  4. Career Coaching
  5. Events and Community Highlights
    1. Special Contributions

AI Magazine & Newsletter

I am also involved in curating and contributing to an AI-focused magazine and newsletter, which provides insightful articles, e-books, and chapter-format resources on the latest advancements in AI and machine learning. Each issue covers a variety of advanced topics, including:

  • Cutting-edge AI Research: Highlighting breakthrough developments and the future of AI technologies.
  • Deep Dive Articles: Breaking down complex AI concepts, techniques, and frameworks for both beginners and experts.
  • Practical AI Applications: Sharing real-world use cases and applications of AI in various industries. gif

Career Milestone: Technical Book Reviewer Role

đź“š Deep Learning for Data Architects đź“š

I had the privilege of serving as a technical reviewer for the book Deep Learning for Data Architects. This journey was not just about reviewing—it was a profound learning experience that allowed me to help shape a resource bridging the gap between data architecture and deep learning.

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đź“– Highlights of the Book

  • Data Transformation and Processing: Turning raw data into actionable insights to tackle real-world challenges.
  • Neural Networks: Covers CNNs, RNNs, and GANs with practical implementations.
  • Transformers: A deep dive into the theory and hands-on projects, revolutionizing NLP applications.
  • Practical Python Code: Includes in-depth implementations for each specialized network.
  • Real-World Use Cases: Empowers readers to apply deep learning to real-world scenarios effectively.

Special Thanks A massive applause for the author, Shekhar Khandelwal, for crafting such an intricate and insightful guide. This accomplishment would not have been possible without the stellar teamwork of the editors, designers, and the BPB Publications team. A heartfelt thank you to Bhaviya Koul for her constant support throughout the process.

🚀 Why Read This Book? If you are eager to deepen your understanding of deep learning and data science with hands-on projects, this book is a must-have in your library.

🌟 Free Preview: Deep Learning for Data Architects (Preview)

Book Reviews

I’ve also reviewed a variety of books related to AI, Data Science, LLM, NLP ,GenAI, MLOps and other fields of interest. Below are some of the books I’ve read and reviewed:

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  • The LLM Engineer’s Handbook

    Author: Paul Iusztin and Maxime Labonne

    Review: Advanced techniques like self-querying, filtered vector search and reranking. Includes CI/CD (GitHub Actions), containerization (Docker, AWS ECR) and deployment (AWS SageMaker)…Read full review

  • Mastering NLP from Foundations to LLMs

    Author: Lior Gazit and Meysam Ghaffari, Ph.D.đź“–

    Review: Focuses on linear algebra, optimization, probability, and statistics, essential for understanding ML and NLP…Read full review

  • Transformers for Natural Language Processing and Computer Vision - Third Edition

    Author: Denis Rothmanđź“–

    Review: Comprehensive coverage of Transformer, BERT, GPT models, T5, ViT, CLIP, , DALL-E 2, DALL-E 3 and GPT-4V…Read full review

Career Coaching

đź’Ľ Supporting Those on Their Career Journey

I offer career coaching on LinkedIn with the hope of supporting individuals who are eager to pursue careers in AI and data science. My goal is to help guide students and professionals as they navigate their career paths. I focus on:

  • Resume Reviews: Helping to highlight strengths and achievements in CVs.
  • Technical Support: Offering advice on technical skills and certifications that can enhance career prospects.
  • Book Recommendations: Suggesting useful books that can deepen knowledge in technology and AI.
  • Career Guidance: Providing assistance in making informed decisions and planning for future career growth.

Events and Community Highlights

🎙️ Speaker and Moderator

Special Contributions

Connect with me on Linkedin

Find me on Github

Visit my technical channel on Youtube

Support: Buy me a Cofee/Chai