Data Engineer · SNH AI · Austin, TX

Mohammed-Taqi Jalil. Data engineer, prototype to production.

I helped take an AI-powered records-adjudication platform from early prototype to production with live enterprise customers. I own the service that turns messy multi-vendor court XML into the structured data behind every automated compliance decision.

01 / the pipeline

What I own, end to end.

  1. stage 01 · ingest

    Raw court-record XML, from many vendors.

    Every vendor sends records in its own shape. That mess is the input to everything downstream.

  2. stage 02 · parse

    One Python/FastAPI service turns it into structure.

    I own the transformation service that converts heterogeneous vendor XML into the structured features the platform runs on.

  3. stage 03 · validate

    Schemas and tests keep bad data out.

    XSD schemas enforce consistency on incoming XML; pytest coverage guards parsing, enrichment, and decision logic.

  4. stage 04 · enrich

    Bronze, silver, gold, in BigQuery.

    When production breaks, I trace records through the medallion pipeline to the root cause: parser failures, ID-mapping bugs.

  5. stage 05 · decide

    Automated compliance decisions.

    Jurisdiction-specific logic (offense age, dispositions, court exclusions) expands the share of records adjudicated without manual review.

100+

merged pull requests across parsing, enrichment, validation & decision logic

7mo

from intern to owner of the platform's core transformation service

15%

increase in platform adoption from student data analysis at JSoftUSA

30%

less manual reporting time after automating SQL ETL workflows

02 / refinement layers

Raw to gold.

A career read like a medallion pipeline: every layer cleaner, more trusted, and closer to the decision than the last.

source May 2024

The University of Texas at Austin

B.S. Biology (Computational)

  • genomics algorithms
  • biostatistics
  • data structures
  • python

// sequences before schemas: where the data habit started.

Mohammed-Taqi Jalil in a suit at UT Austin's 2024 commencement
bronze Feb 2024 – Aug 2024

Data Analyst Intern

JSoftUSA · Austin, TX

  • Analyzed student attendance and performance data, uncovering trends that led to a 15% increase in platform adoption.
  • Automated ETL workflows using SQL scripts, decreasing manual report time by 30%.
  • Built Tableau dashboards to track performance and resource use, improving educator efficiency.
  • sql
  • tableau
  • etl
silver Jun 2025 – Jan 2026

Data Engineer Intern

SNH AI · Austin, TX

  • Built data labeling workflows in Label Studio for annotating charges, dispositions, and record sources used to train and evaluate the platform's AI models.
  • Developed Python pipelines standardizing heterogeneous vendor XML into a unified golden dataset for model training and evaluation.
  • Created and validated XSD schemas to enforce consistency of incoming XML across diverse data sources.
  • Converted to full-time after the internship, taking ownership of the platform's core transformation service. // Intern to owner of the core service in seven months.
  • python
  • xml
  • xsd
  • label studio
gold Jan 2026 – Present current

Data Engineer

SNH AI · Austin, TX

  • Own the Python/FastAPI service that transforms raw court-record XML from multiple vendors into the structured features driving automated compliance decisions.
  • Helped take the product from prototype to production launch, supporting multi-week client UAT and shipping 100+ merged pull requests across parsing, enrichment, validation, and decision logic. // Merged, not just opened.
  • Implemented jurisdiction-specific decision logic (offense age, dispositions, court exclusions) with pytest coverage, expanding the share of records adjudicated without manual review.
  • Diagnosed production incidents by tracing records through a BigQuery bronze/silver/gold pipeline, fixing parser failures and ID-mapping bugs. // Root cause first, patch second.
  • Built internal React dashboard features (record search, labeling, live rule evaluation) used daily by engineers and auditors.
  • python
  • fastapi
  • bigquery
  • gcp
  • pytest
  • react

·· / stack

The toolkit.

Languages & Frameworks

Python (FastAPI, Pandas, pytest), SQL (BigQuery, MySQL), TypeScript/React, XML/XSD, REST APIs

Cloud & Data

Google Cloud Platform (BigQuery, Cloud Run, Pub/Sub), ETL / medallion architecture (bronze-silver-gold), data validation, Docker, Git/GitHub, Label Studio, Tableau

·· / field notes

Off the clock.

Where I write code, read systems papers, and recharge across Austin, and the bench it all happens on.

Downtown & North Lamar

order
Double Cortado (Washed Ethiopian)
beans
Pattern Coffee Roasters

My quintessential engineering focus spot. Architectural, restrained interior, ultra-consistent extraction. The cortado has silky micro-foam with bright citrus and floral notes.

East Austin (Webberville Rd)

order
Espresso Tonic / Classic Flat White
beans
Rotating guest roasters (Sweet Bloom, Ritual)

An eclectic former gas-station outpost on the East Side. Best experimental coffee program in town. The espresso tonic on a humid 95°F Texas summer afternoon is unbeatable.

East Caesar Chavez

order
House Drip or Colombian Pour Over
beans
In-house roast

Coffee roastery meets custom vintage motorcycle garage. Grittier, high-energy community vibe. Rich chocolate, caramel, and tobacco roast profiles that fuel sprint weeks.

East 5th St

order
Single-Origin Pour Over
beans
Greater Goods micro-lots

Airy industrial space with lush greenery. Fantastic for long weekend reading sessions and testing bioinformatics or Python ideas.

The bench

keyboard
Custom 75% mechanical, lubed & filmed
Boba U4T tactiles / Gateron Oil King
coffee
Hario V60 ceramic + Timemore C2
washed Ethiopian, 1:16
audio
Sennheiser HD 6XX + DAC/amp
deep work soundtrack
editor
VS Code / Neovim
Tokyo Night Storm

04 / query this site

Ask me anything.

An assistant that answers from the content of this site.

ask@mtj: ~/portfolio