https://notes.praneeth-suresh-s.workers.dev/ Rigorous computer science notes across algorithms, systems, AI engineering, and software engineering. https://notes.praneeth-suresh-s.workers.dev/topics/algorithms/ https://notes.praneeth-suresh-s.workers.dev/topics/algorithms/ Algorithms explained with intuition, formal models, proof sketches, and implementation tradeoffs. https://notes.praneeth-suresh-s.workers.dev/topics/agent-coding/ https://notes.praneeth-suresh-s.workers.dev/topics/agent-coding/ Agents, feedback loops, and implementation habits. https://notes.praneeth-suresh-s.workers.dev/topics/os/ https://notes.praneeth-suresh-s.workers.dev/topics/os/ Diving deep into the design and structure of Operating Systems. https://notes.praneeth-suresh-s.workers.dev/topics/ai-engineer/ https://notes.praneeth-suresh-s.workers.dev/topics/ai-engineer/ Accelerating AI: across all layers https://notes.praneeth-suresh-s.workers.dev/topics/swe/ https://notes.praneeth-suresh-s.workers.dev/topics/swe/ Sophisticated software systems under the hood https://notes.praneeth-suresh-s.workers.dev/topics/agent-build/ https://notes.praneeth-suresh-s.workers.dev/topics/agent-build/ SWE Principles for Building Out Agents https://notes.praneeth-suresh-s.workers.dev/blog/a-research-program-for-inspectable-ml/ https://notes.praneeth-suresh-s.workers.dev/blog/a-research-program-for-inspectable-ml/ An essay on reading foundational deep learning papers as one research program and turning interpretability and representation analysis into a rigorous science. https://notes.praneeth-suresh-s.workers.dev/blog/tracing-the-mental-models-of-deep-learning-lessons-from-foundational-papers/ https://notes.praneeth-suresh-s.workers.dev/blog/tracing-the-mental-models-of-deep-learning-lessons-from-foundational-papers/ AI research explained through foundational deep learning papers: universal approximation, convolutional architectures, transformers, reinforcement learning, and the open question of task-fit architecture. https://notes.praneeth-suresh-s.workers.dev/blog/peeking-inside-the-black-box/ https://notes.praneeth-suresh-s.workers.dev/blog/peeking-inside-the-black-box/ paper-backed essays https://notes.praneeth-suresh-s.workers.dev/blog/more-on-interpretability/ https://notes.praneeth-suresh-s.workers.dev/blog/more-on-interpretability/ paper-backed essays https://notes.praneeth-suresh-s.workers.dev/blog/from-alchemy-to-science/ https://notes.praneeth-suresh-s.workers.dev/blog/from-alchemy-to-science/ paper-backed essays https://notes.praneeth-suresh-s.workers.dev/blog/approaching-the-frontiers/ https://notes.praneeth-suresh-s.workers.dev/blog/approaching-the-frontiers/ paper-backed essays https://notes.praneeth-suresh-s.workers.dev/blog/the-era-we-live-in/ https://notes.praneeth-suresh-s.workers.dev/blog/the-era-we-live-in/ paper-backed essays https://notes.praneeth-suresh-s.workers.dev/blog/what-exactly-are-we-doing/ https://notes.praneeth-suresh-s.workers.dev/blog/what-exactly-are-we-doing/ paper-backed essays https://notes.praneeth-suresh-s.workers.dev/blog/engineering-discipline-for-agentic-coding/ https://notes.praneeth-suresh-s.workers.dev/blog/engineering-discipline-for-agentic-coding/ A project write-up on treating agent-assisted development as a verifiable engineering system with operating rules, skills, checks, and review boundaries. https://notes.praneeth-suresh-s.workers.dev/blog/forecasting-the-limit-order-book/ https://notes.praneeth-suresh-s.workers.dev/blog/forecasting-the-limit-order-book/ An applied ML write-up on mid-price movement forecasting with logistic regression, MLP, DeepLOB-style sequence modeling, and interpretability probes. https://notes.praneeth-suresh-s.workers.dev/blog/unic-launching-off/ https://notes.praneeth-suresh-s.workers.dev/blog/unic-launching-off/ my blog https://notes.praneeth-suresh-s.workers.dev/blog/putting-users-first-rewrote-our-code/ https://notes.praneeth-suresh-s.workers.dev/blog/putting-users-first-rewrote-our-code/ my blog https://notes.praneeth-suresh-s.workers.dev/blog/best-case-worst-case/ https://notes.praneeth-suresh-s.workers.dev/blog/best-case-worst-case/ my blog https://notes.praneeth-suresh-s.workers.dev/blog/how-to-turn-any-big-idea-into-real-impact/ https://notes.praneeth-suresh-s.workers.dev/blog/how-to-turn-any-big-idea-into-real-impact/ my blog https://notes.praneeth-suresh-s.workers.dev/blog/beryl-01-why-agents-md-isnt-enough/ https://notes.praneeth-suresh-s.workers.dev/blog/beryl-01-why-agents-md-isnt-enough/ A first-person account of why scattered instruction files failed me and why a repo-owned boundary became the real problem to solve. https://notes.praneeth-suresh-s.workers.dev/blog/how-to-win-a-hackathon/ https://notes.praneeth-suresh-s.workers.dev/blog/how-to-win-a-hackathon/ A practical essay on why hackathons are won by matching the idea, demo, and technical work to the organizers and judging criteria. https://notes.praneeth-suresh-s.workers.dev/blog/beryl-02-what-i-built/ https://notes.praneeth-suresh-s.workers.dev/blog/beryl-02-what-i-built/ A practical walkthrough of the first working structure: `.beryl/agent/`, a deterministic check, and review evidence in files. https://notes.praneeth-suresh-s.workers.dev/blog/beryl-03-building-in-public-week-1/ https://notes.praneeth-suresh-s.workers.dev/blog/beryl-03-building-in-public-week-1/ What the first feedback cycle exposed in week one: strictness tradeoffs, false positives, and direction for future iterations. https://notes.praneeth-suresh-s.workers.dev/blog/np-completeness-formal-definition-proof-sketches-and-reductions/ https://notes.praneeth-suresh-s.workers.dev/blog/np-completeness-formal-definition-proof-sketches-and-reductions/ NP-completeness explained through formal definitions, proof sketches, reductions, and why hardness evidence changes algorithm design.