Performance engineering — data-heavy frontends

Performance Optimization for Data-Heavy Web Applications

I improve responsiveness in complex frontends. Maps. 3D. Dashboards. Large SaaS.

WebGL & complex rendering
Large-data streaming & parsing
Main-thread & interaction latency
Pablo L. A.

Pablo L. A.

@pababalle

Senior software engineer focused on architecture and performance for data‑heavy frontends (maps, 3D, GIS, dashboards). I diagnose bottlenecks and implement targeted fixes to reduce main-thread work and stabilize rendering.

Example measurements

Representative metrics (placeholders).

Time to Interactive (TTI)

Before6.2s
After2.1s
Example: lower TTI

Main-thread blocking

Before1.8s (long tasks)
After0.3s
Example: lower main-thread blocking

Render time per frame

Before25ms
After8ms
Example: lower render time

Interaction latency (INP)

Before350ms
After60ms
Example: lower interaction latency

When your app loads fast but still feels slow

Symptoms and root causes.

Without Optimization

  • Main-thread blocking and frequent long tasks
  • Frame drops and unstable FPS under real load
  • High memory footprint causing OOM or freezes
  • Slow interaction latency (poor INP)
  • Hard-to-debug rendering regressions

With Optimization

  • Less main-thread blocking
  • Lower TTI
  • Stable 60fps
  • Lower INP
  • Predictable render pipeline

Example measurements (placeholders)

Metrics are examples, not guarantees.

Services — Performance & Architecture

Profiling. Rendering. Data pipelines. One service: performance optimization.

Custom

TBD

Performance optimization

Profiling. Main-thread work reduction. Rendering and data-pipeline fixes.

  • Trace & flamechart analysis
  • Long-task removal
  • Worker offload
Message on LinkedIn

Skills & Expertise

WebGLWeb Workers / WASMProfiling & tracingMain-thread optimizationLarge-data parsingRendering pipelines

Senior performance engineer for complex, data-heavy frontends

Architecture, profiling, and targeted optimizations for maps, 3D visualizations, dashboards and large-scale SaaS frontends.

Architecture & Scalability

System-level reviews focused on data flow, caching, rendering pipelines and scaling frontend workloads reliably.

Performance Engineering

Profiling. Long-task removal. Metrics: TTI, INP.

Visualization & Rendering

WebGL, map rendering and 3D optimizations to maintain stable frame-rates under real-world datasets.

Typical problems I solve:

  • Main thread blocking and long tasks
  • Large JSON parsing that blocks rendering
  • Heavy rendering workflows (maps, 3D) causing frame drops
  • Excessive memory usage and leaks
  • Interaction delays and poor INP