About & Engineering Lineage
A comprehensive view of cognitive models, engineering methodology, and technical trajectory.
Nayant Srivastava
// AI / Systems EngineerExploring computation through artificial intelligence, systems, algorithms, mathematics, graphics, and interactive technology.
Core Dimensions
Four layers structuring the cognitive and execution model.
What I do
/Engineering IdentityI build software, study computational systems, and experiment with artificial intelligence. My work spans AI/ML systems, software engineering, algorithms, mathematics, graphics, game technology, and developer tools.
What I'm interested in
/Technical DomainsAI systems and efficient inference. Systems engineering and low-level optimization. Algorithms and data structures. Mathematics and computational theory. Graphics programming and game engines. Developer tools and technical education.
How I think
/Engineering PhilosophyI prioritize building working systems over theoretical knowledge. Every claim should be backed by evidence — a project, an experiment, a benchmark. I document failures as carefully as successes, because understanding what doesn't work is as valuable as knowing what does.
Where I'm going
/Long-term DirectionBuilding technology across software, AI, systems, and interactive worlds. The projects I'm working on — MINDLITE, Omnix Engine, ByteLogic, Attack On Code, and eventually Last Transistor — represent different branches of the same long-term vision: creating tools and systems that push the boundaries of computation and interactive technology.
Engineering Philosophy
Foundational tenets distinguishing disciplined systems design from speculative experimentation.
Evidence Over Claims
Every capability claim must be backed by a project, experiment, benchmark, or implementation. Skills without artifacts are just words.
Build to Learn
Understanding comes from building. Turn mathematical formulations and model architectures into working systems, not just notebook prototypes.
Systems Over Spectacle
Prioritize architectural clarity, performance measurement, and failure analysis over superficial demonstrations and visual polish.
Long-Term Thinking
Build infrastructure that compounds: knowledge systems, reusable frameworks, documented experiments. Every project should make the next one easier.
Measure, Don't Speculate
Don't rely on intuition when a profiler trace, benchmark, ablation study, or experiment can answer the question with certainty.
Experience & Trajectory
Academic path, community leadership, and autonomous systems research.
B.Tech CSE + AI/ML
@ AKTU UniversityStudying Computer Science & Engineering with specialization in Artificial Intelligence and Machine Learning. Building projects across AI, systems, algorithms, and game technology.
Founder & Lead Developer
@ Attack On CodeBuilding a developer community focused on open-source collaboration, technical education, and engineering culture.
Independent Researcher & Builder
@ Personal ProjectsDesigning and implementing ADCTM, MINDLITE, Omnix Engine, Nevula, and ByteLogic — spanning AI/ML, systems engineering, graphics, and technical education.