[ Praneeth's CS Field Notes ]
Praneeth's CS Field Notes
Five entry points into my work: AI research reading, selected projects, technical writing, current collaboration asks, and searchable CS notes.
/ Research
Paper-backed AI research notes.
Reading trails and essays that connect papers to mechanisms: interpretability, model evaluation, deep learning, memory, routing, and agent reliability.
/ Projects
Selected systems with evidence.
Software and AI projects shown with problem, method, result, code links, write-ups, status, and tradeoffs.
/ Writing
Essays about technical ideas.
Longer-form writing on deep learning, algorithms, project lessons, and the process behind building technical systems.
/ Asks
Open routes for specific conversations.
Contact me about research, AI engineering internships, consulting prototypes, or NUS AI Society speakers, workshops, sponsors, and partnerships.
/ Notes
Searchable computer science notes.
Topic archives pulled from my study system, organized by topic and subpage across algorithms, systems, AI engineering, software engineering, and agentic coding.