Hey there! (❁´◡`❁)
How are you guys doing?
Well, I’m doing great just like you…Thanks for asking, btw! 😊 Here’s a glimpse into the things that light up my world!
🤖 I have a deep curiosity and research interests in exploring Multimodal Learning, particularly VLM’s & Diffusion models with insights from Computer Vision (CV) and Deep Reinforcement Learning (RL).
📚 I have a borderline obsession with research papers. Check out my Reading List for what’s been keeping me up lately!
✍️ I enjoy jotting down my thoughts. You can find my blogs on Medium, Towards AI and InPlainEnglish.
🌿 Outside of work, you’ll find me clicking random pictures, exploring astrophysics, or playing and watching a variety of sports!! - be it football, cricket, MMA, or Esports. A good book recommendation or a meaningful conversation? I’m all ears!
🔧Personal ML Toolkit
Here’s a curated list of my go-to tools and libraries:
For Vision Tasks🖼️
- OpenCV: Versatile for image preprocessing and augmentation.
- PyTorch and torchvision: Perfect for implementing custom CNNs and Vision Transformers.
- YOLO: My favorite for real-time object detection, especially in sports analytics.
- TensorFlow & Keras: Excellent for rapid prototyping and deploying pre-trained models.
- Scikit-Image: Ideal for advanced image processing tasks like segmentation and denoising.
- Pillow: Perfect for quick image transformations like resizing, cropping, and format conversion.
For NLP Tasks📝
- Hugging Face Transformers: Simplifies using SOTA NLP models like BERT and GPT.
- NLTK & SpaCy: Handy for preprocessing and annotating text data efficiently.
For Experiment Tracking📊
- Weights & Biases (W&B): Makes model tracking and optimization seamless with intuitive visualizations.
For Deployment🚀
- AWS SageMaker: Simplifies scaling ML experiments to production.
- Hugging Face Spaces: Allows to create interactive demos with ease.
🤔What Keeps Me Inspired
All things ML
📖Understanding Deep Learning by Simon Prince and Machine Learning Specialization by Stanford.
📰Newsletters like The Batch (Deeplearning.AI) and TL;DR AI.
🎥Channels like DeeplearningAI, Two Minute Papers, Stanford Online, 3Blue1Brown, WorldofAI and many more.
🌟People like Andrew Ng, Aleksa Gordić, Andrej Karpathy, Ilya Sutskever, Yann LeCun, Lex Fridman and so many moree!
Beyond ML
📚Books(have read and recommended!): Eat That Frog, Cosmos, Ikigai, Brave New World, Fahrenheit 451, Astrophysics for people in a hurry.
🎥Channels like Kurzgesagt, StarTalk, TED, Discover Connection, The Infographics Show, Veritasium and Bright Side.