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Currently Reading

  1. Private traits and attributes are predictable from digital records
  2. Debiasing Word Embeddings

Next (To Read)

  1. Efficient Recoverable CAS 🏛️
  2. Calvin
  3. Spanner : Improvements
  4. CockroachDB
  5. Solving Gravitational N body problem using NNs
  6. KANs
  7. Consistency and Availability in Real-Time Distributed Systems
  8. Chubby Lock Service- Google
  9. Astronomaly
  10. Hyperspectral Image Classification Based on Superpixel Pooling Convolutional Neural Network with Transfer Learning
  11. Efficient Algorithms for Earliest and Fastest Paths in Public Transport Networks
  12. NeRF in Robotics
  13. Hallucinations of MLLMs
  14. Root To Leaf Scheduling in Write Optimised Trees
  15. Cockroach labs Paper
  16. Alice in Wonderland : LLM
  17. Human centric view of model monitoring
  18. X+Y
  19. Audio Meta Paper
  20. Prod2Vec

Distributed System & Algorithms Papers

  1. Map Reduce
  2. Google File System
  3. Raft ❤️
  4. Zookeeper
  5. Aurora
  6. FaRM ❤️
  7. Spanner ❤️
  8. MemCache
  9. Spark ❤️
  10. Time clocks and ordering of events in Distributed systems
  11. The theory of dynamic programming
  12. Perspective of CAP Theorem ❤️

Books [ Only My Favs]

  1. Weapons of Math Destruction by Cathy O’Neil
  2. The Brain, David Eagleman
  3. QED, Richard Feynman
  4. The Ascent of Gravity, Marcus Chown
  5. Genius Makers
  6. MIT Press: AI Ethics
  7. Deep Work, Cal Newport
  8. Emotional Intelligence
  9. A brief history of time, Stephen Hawking
  10. Work Rules
  11. The psychology of Money
  12. Soonish
  13. The brain
  14. Notes on a nervous planet
  15. QED, Richard Feynman
  16. Our mathematical universe
  17. Sapiens: A brief history of humankind

Want to read

Deep Learning

  1. Vision Transformers
  2. Neural Machine Translation by Jointly learning to Align and Translate
  3. Effective approaches to Attention based Neural Machine Translation
  4. Attention is all you need. ❤️
  5. Image Style Transfer using CNNs
  6. Intriguing properties of Neural Networks
  7. Taxonomy
  8. Weight Agnostic NNs ❤️
  9. Everybody Dance Now
  10. NIPS 2016: GANs Tutorial ❤️
  11. Tutorial on Variational Autoencoders
  12. Matrix Calculation you need for Machine learning
  13. Google Deep Mind: Griffin : Local Attention
  14. Deconvolution of Astronomical Images by Deep Learning
  15. Addition is all you need ❤️
  16. Weakly Supervised Anomaly Detection in Milky Way
  17. DSIPTS

Other Papers

  1. A subquadratic triad census algorithm for large sparse networks with small maximum degree
  2. Finding community structure in networks using eigen matrices
  3. A quadratically constrained mixed-integer non-linear programming model for multiple sink distributions

Tech Books

  1. Designing Data intensive Applications
  2. Designing machine learning systems
  3. Machine learning design pattern
  4. Fundamentals of data engineering
  5. Clean Code
  6. Structure and Interpretation of Computer programs
  7. You dont know JS
  8. Hundred page Machine learning book

Other

  1. https://newsletter.techleadmentor.com/p/making-of-a-million-dollar-staff
  2. https://huyenchip.com/2024/04/17/personal-growth.html
  3. https://newsletter.eng-leadership.com/p/growing-from-engineer-to-staff-engineer

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