Focused on computer science foundations and engineering reasoning
Primary language: Python · Also working with TypeScript / JavaScript
Interested in system design fundamentals, software architecture, and scalable systems
Primary language: Python · Also working with TypeScript / JavaScript
Interested in system design fundamentals, software architecture, and scalable systems
I design and analyze algorithmic and software solutions with emphasis on
problem framing, correctness, and explicit trade-off analysis.
My goal is to build strong foundations to reason clearly about
time and space complexity, system constraints, failure cases, and scalability.
problem framing, correctness, and explicit trade-off analysis.
My goal is to build strong foundations to reason clearly about
time and space complexity, system constraints, failure cases, and scalability.
Computer Science: Data Structures, Algorithms, Big-O Analysis, Recursion,
Trees, Graphs, Dynamic Programming (foundations)
Software Engineering: System Design Foundations, Debugging, Testing, Clean Code, Problem Decomposition, Trade-off Analysis
Software Engineering: System Design Foundations, Debugging, Testing, Clean Code, Problem Decomposition, Trade-off Analysis
Algorithms & Data Structures Practice
Public repository focused on classical DSA problems, approached with
clear problem statements, multiple solution strategies, and
explicit time/space complexity analysis.
Emphasis on reasoning, invariants, and solution trade-offs
rather than memorization.
→ View repository
Public repository focused on classical DSA problems, approached with
clear problem statements, multiple solution strategies, and
explicit time/space complexity analysis.
Emphasis on reasoning, invariants, and solution trade-offs
rather than memorization.
→ View repository
Internal AI System Design — Architecture Foundations
Documentation-driven exploration of software architecture and system design,
focused on explicit boundaries, decision traceability,
and principled AI integration under human control.
The project prioritizes predictability, safety, and long-term
maintainability over automation.
→ View documentation
Documentation-driven exploration of software architecture and system design,
focused on explicit boundaries, decision traceability,
and principled AI integration under human control.
The project prioritizes predictability, safety, and long-term
maintainability over automation.
→ View documentation
I value clarity over cleverness, explicit reasoning over assumptions,
and engineering decisions that scale beyond the initial implementation.
and engineering decisions that scale beyond the initial implementation.
