CSE Student & AI Enthusiast
Portfolio of Love Singhal – Computer Science student passionate about AI, problem solving, and building meaningful software.
AI Flow Experiments
Prototyping ways AI augments rather than replaces user intent.
Design Systems
Composable primitives & tokens.
Automation
Scripting repetitive dev tasks.
Clarity First
Readable abstractions & intent mapping.
Rapid Iteration
Short feedback loops & instrumentation.
Perf Profiling
Tracing and measuring critical paths.
Edge Delivery
Latency-focused deployment strategies.
Type Safety
Modeling domain intent in TypeScript.
Engineering Pillars
About MeReliability
Designing predictable flows, defensive boundaries, and graceful degradation.
Performance
Keeping payloads lean, rendering paths intentional, and measuring instead of guessing.
Accessibility
Inclusive semantics, keyboard reachability, contrast, motion preference awareness.
Composability
Primitive-first mindset: small interoperable building blocks over monoliths.
Automation
Eliminating toil with scripts & workflow engines to free cognitive budget.
Clarity
Readable naming, explicit data contracts, consistent UI/UX language.
Learning Timeline
Focused progression of skills & practicesNow
Stage 1- Refining AI UX patterns
- Exploring retrieval workflows
- Improving component ergonomics
2024
Stage 2- Shipped multi-project React apps
- Deepened TypeScript modeling
- Adopted App Router patterns
2023
Stage 3- Strengthened DSA foundations
- Built first full-stack MERN prototypes
Core Stack Snapshot
All SkillsCurrent Focus
AI-Driven UX
Integrating model-backed suggestions & classification to streamline flows without overwhelming users.
Automation & Tooling
Building internal primitives & scripts that reduce repetition and accelerate iteration loops.
Performance & Clarity
Refining data boundaries, reducing re-renders, and keeping abstractions sharp.