Talha Ijlal

Data Engineer & AI-driven LegalTech

Building scalable data systems and cloud infrastructure at the intersection of law and technology

About Me

I'm a Data Engineer specializing in AI-driven LegalTech solutions and distributed systems. With a background in Computer Science and international research, I bridge the gap between complex legal requirements and scalable technical infrastructure.

Currently, I lead data initiatives at DigiLawyer, where I architect high-availability data pipelines that power legal intelligence systems. I'm passionate about building systems that are both technically elegant and solve real-world problems.

5+
Years Experience
10+
Systems Built
50+
Data Pipelines
20+
Team Members

Experience

Chief Data Officer

DigiLawyer

2023 - Present

Leading data infrastructure and AI initiatives. Architected data pipelines with PostgreSQL + pgvector, managing high-availability systems processing legal documents at scale with Kubernetes orchestration.

PostgreSQLpgvectorKubernetesPythonTypeScript

Data Scientist / Data Engineer

Adara (RateGain)

2021 - 2023

Built Apache Airflow pipelines on GCP processing billions of data points daily. Created alerting systems and automation that reduced monitoring time by 40% and improved data quality metrics.

Apache AirflowBigQueryGCPPythonSQL

Senior Data Engineer

CyberSure

2020 - 2021

Designed and implemented data warehousing solutions for insurance analytics. Built real-time dashboards and established data governance frameworks.

Data WarehousingAnalyticsPythonApache Spark

Featured Projects

DigiLawyer Platform

Featured

AI-powered legal intelligence platform digitizing Pakistan's legal statutes and codes. Built scalable data pipelines processing millions of legal documents with vector embeddings for semantic search.

PostgreSQL + pgvectorKubernetesPythonTypeScriptVector Search
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Data Pipeline Infrastructure

High-performance Apache Airflow orchestration system processing billions of records daily across multiple cloud regions with real-time alerting and monitoring.

Apache AirflowBigQueryGCPKubernetes
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Legal Document Embeddings

Fine-tuned embedding models for legal text, achieving 94% accuracy on document classification tasks using transformer-based architectures and vector search.

PyTorchTransformerspgvectorFastAPI
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Latest Articles

Building Scalable Data Pipelines with Apache Airflow

Deep dive into orchestrating complex data workflows, handling failures, and monitoring at scale.

January 20258 min read
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Vector Search in PostgreSQL: From Theory to Production

How we leverage pgvector to implement semantic search for legal documents with sub-second latency.

December 202410 min read
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Data Engineering for Legal Tech: Challenges and Solutions

Unique challenges in processing unstructured legal data and building systems for compliance.

November 202412 min read
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Let's Work Together

Interested in collaborating on data infrastructure, AI-driven systems, or LegalTech initiatives? I'd love to hear from you.

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