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Bilal User

@bilaluser12

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Backend engineer at LegalStandings who built a lawyer-ranking algorithm and a pipeline processing 1M+ court records.

Pakistan

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At LegalStandings, I designed and built a context-aware lawyer-ranking algorithm that evaluates attorneys within a user's selected filters. I also built the data extraction pipeline for 1M+ court documents across 40+ U.S. states.

I designed the production PostgreSQL architecture and added validation and QA safeguards for the platform's legal data. As a Research Assistant at TUKL Deep Learning Research Lab, I applied Byte Pair Encoding to EEG data and developed preprocessing pipelines for epilepsy-focused pattern recognition.

On LawYaar, I built an AI legal research assistant for WhatsApp, including its document ingestion and retrieval pipeline. I also implemented a GPT-style transformer from scratch to study the architecture behind modern LLMs.

Experience

Work history, roles, and key accomplishments

Current

Backend & Data Pipeline Engineer

Current

LegalStandings

Nov 2025 - Present (11 months)

Designed and built a context-aware lawyer ranking algorithm and owned the end-to-end data extraction pipeline processing 1M+ court case documents across 40+ U.S. states. Built strict validation and QA safeguards and designed the production PostgreSQL data architecture.

Python PostgreSQL Data pipeline design ETL Web Scraping BeautifulSoup Selenium Docker Kubernetes CI CD DVC Algorithm Design

Research Assistant

TUKL Deep Learning Research Lab

Applied NLP-inspired tokenization techniques to biomedical time-series data, tokenizing EEG waveforms with Byte Pair Encoding (BPE) to build transformer-compatible representations. Developed preprocessing pipelines for EEG signal segmentation and representation learning.

Python BPE Transformers EEG Signal Processing Representation Learning PyTorch