π¬ Incoming Software Engineer Intern at Netflix on Playback Data Systems team
π« Harvard University M.S. and B.A. in Computer Science
ποΈββοΈ Currently working on Brill, LSM-Tree with Predictions, Simulating Evolvability, Optimized LSM-Tree, and AI-Generated Music
π Check out my resume
π Currently learning about LSM-Trees, transformers, GANs, evolvability, and learned Bloom filters
Incoming SWE Intern @ Netflix | MS CS Harvard '26 | ColorStack
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Harvard University
- Cambridge, MA
- in/nicholas-fidalgo
- fiidalgo
Highlights
- Pro
Pinned Loading
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predictive-lsm-trees
predictive-lsm-trees PublicEnhancing LSM Tree read performance with learned Bloom filters and an ML classifier.
Python
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lsm-tree
lsm-tree PublicClient-server architecture for an LSM-Tree handling concurrency, hybrid compaction policies, and skip list buffer
C++
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boolean-evolvability
boolean-evolvability PublicSimulating evolvability of Boolean functions using genetic algorithms using Valiant's theoretical model. Explores how evolvability depends on input distributions, how constraints affect evolutionarβ¦
Python
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forensic-sketch-ai
forensic-sketch-ai PublicFine-tuning and testing CLIP and Stable Diffusion models for forensic sketch image generation.
Jupyter Notebook
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