An LLM agent that iteratively self-corrects its outputs

A Python framework for building LLM agents with built-in self-correction loops, enabling more reliable and accurate outputs through iterative refinement.

Multi-objective NAS for efficiency under real deployment constraints

A research project on multi-objective neural architecture search (NAS) that explicitly targets efficiency (parameters/energy) while keeping forecasting accuracy competitive.

Evidence that width should grow faster than depth for transformers

A research project studying architecture-conditioned scaling laws and identifying a critical-depth regime where adding layers can hurt performance.

Survey, public-health, and reproducible statistical workflows

Proof page for a Fiverr gig focused on survey data, public-health analytics, and reproducible statistical reporting.

Panel data, time series, and policy-style quantitative analysis

Proof page for a Fiverr gig centered on causal inference, econometrics, forecasting, and robustness-heavy interpretation.

Dashboards that explain what changed, why it matters, and what to do next

Proof page for a Fiverr gig focused on business analytics, KPI reporting, and interpretation-first dashboard work.

One use case, one channel, one integration

Proof page for a Fiverr gig focused on scoped AI workflow automation and internal knowledge assistants.

Legacy Fiverr track: 200+ projects, 4.8+ rating, Level Two Seller

WordPress, Shopify, and Wix development for businesses worldwide. This is the older Fiverr lane that established delivery credibility before the AI/data portfolio.