Skip to content
Neal on a trip to Japan

“Not everyone who works hard is rewarded, however all those who succeed have worked hard.”

— Kamogawa Genji, Hajime No Ippo

About

Hi, I'm Neal

I build AI systems for batteries, ambulances, and enterprise data.

Neal Kapadia

I am a Computer Engineering student at UT Dallas, minoring in Biology and graduating in May 2027.

At Gartner I built a reconciliation pipeline that caught 302 employee and 2,860 position records missing from HR reporting, then architected the data quality framework that now runs across the company's medallion pipeline. In the Su Research Group I trained a 42-million-parameter generative model on 7.1 million molecules using a single consumer GPU, and its top additive is in experimental validation right now.

I am also a practicing EMT-B, which is how Synapse Responder started: crews lose about twenty minutes per call to paperwork, so we built an ambient scribe that drafts the report while you work and never persists a byte of patient audio.

Education

The University of Texas at Dallas

Aug 2023 – May 2027

B.S. Computer Engineering, Minor in Biology · GPA 3.881 / 4.00 · Richardson, TX

  • Academic Excellence Scholarship, full tuition, four-year merit award
  • Dean's List, Spring 2026
  • Computer Architecture
  • Electronic Circuits + Lab
  • Data Structures & Algorithms
  • Digital Circuits
  • Electrical Network Analysis
  • Differential Equations

Experience

  1. Gartner

    May 2026 – Aug 2026

    Software Engineering Intern · People Data Platforms Optimization · Irving, TX

    • Built a PySpark reconciliation pipeline on Databricks pulling Workday API records into a bronze table and diffing them against the silver table, catching 302 employee and 2,860 position records missing from HR reporting.
    • Released it to production through a change request with QA proofs and a rollback plan, scheduled as an Azure Data Factory job emailing exception reports to HR Information Systems twice monthly.
    • Architected a company-wide data quality framework across bronze, silver, and gold layers with GPT-5.5-assisted rule generation, SCD Type 2 rule lifecycle, and error/warning severity tiers.
    • Surfaced it all in a Databricks SQL dashboard the team still uses, and presented the framework to 50+ engineers and executives at final review.
    • Databricks
    • PySpark
    • Azure Data Factory
    • ADLS
    • Power BI
    • SCD Type 2
    • +1

  2. Laisuo Su Research Group, UT Dallas

    Oct 2024 – Present

    Undergraduate Researcher · BatteryGen: generative AI for battery electrolytes · Richardson, TX

    • Independently built BatteryGen, a 42M-parameter conditional VAE trained on 7.1M molecules in 16 hours on one RTX 3060, hitting 1.000 validity, 0.998 uniqueness, and 0.995 novelty against published baselines.
    • Trained the paired prediction model on 575 zinc additives with molecular fingerprinting, RFE-CV column selection, Optuna tuning, and scaffold-grouped cross-validation, reaching R² 0.82 on Coulombic efficiency.
    • Closed the loop with a multi-LLM reasoner, judge, and orchestrator validating final candidates against a retrieval-augmented literature base, advancing top additive NCNCc1ccccn1 to experimental validation.
    • Shipped it as a pip-installable package with CLI entry points, gated by GitHub Actions running pytest on every push and auto-deploying artifacts to Hugging Face on merge.
    • PyTorch
    • Conditional VAE
    • SELFIES
    • RDKit
    • XGBoost
    • Optuna
    • +1

  3. Priro Systems Inc.

    Jun 2024 – Aug 2024

    Software Engineering Intern · Early-stage software startup · Plano, TX

    • Built a document-processing pipeline extracting part specs from scanned oil-and-gas PDFs with Amazon Textract and Claude 3.5 Sonnet.
    • Resolved near-miss matches against an Excel commodity-code dictionary using a lightweight local Llama model to reconcile abbreviation and wording variants.
    • Loaded resolved parts to a stakeholder-facing CSV and PostgreSQL table through a Django application, cutting a 40-hour manual review to under one hour of human verification.
    • Designed the output for human-in-the-loop review rather than full automation, surfacing every extracted field for correction before acceptance.
    • Python
    • Amazon Textract
    • Claude
    • Llama
    • Django
    • React
    • +2

  4. Etched Quality Care

    Jan 2025 – May 2025

    Engineer, via UTD Biotech Club · Richardson, TX

    • Engineered an AI-powered wearable for real-time health monitoring, integrating physiological sensors with a microcontroller to collect and transmit biometric data.
    • Developed Python ML models to analyze health metrics and flag cardiovascular events.
    • Collaborated with a multidisciplinary team of engineers and clinicians on hardware and software integration.
    • Embedded
    • Microcontrollers
    • Python
    • Machine Learning
    • IoT

Skills

Languages

  • Python
  • TypeScript
  • JavaScript
  • SQL
  • C
  • C++
  • Java
  • C#
  • R
  • Dart
  • MATLAB
  • Verilog
  • MIPS Assembly

Cloud & Data

  • Databricks
  • PySpark
  • Databricks SQL
  • Apache Spark
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure AI Foundry
  • AWS S3
  • Amazon Textract
  • Cloudflare Workers
  • Supabase
  • PostgreSQL
  • Power BI
  • Medallion architecture
  • SCD Type 2

ML & AI

  • PyTorch
  • scikit-learn
  • XGBoost
  • ExtraTrees
  • Optuna
  • RDKit
  • Conditional VAE
  • Fine-tuning (BERT, CNNs)
  • Bayesian optimization
  • Retrieval-augmented generation
  • Embeddings & semantic search
  • SHAP explainability
  • Structured output & JSON schema
  • Multi-model routing

Hardware & Digital Design

  • Verilog
  • ISA design
  • Multi-cycle datapath
  • Control unit design
  • RTL simulation
  • Synthesis
  • Testbench verification
  • iVerilog
  • Cadence OrCAD PSpice
  • Oscilloscope & network analyzer
  • Op-amp & BJT/JFET design
  • ADC/DAC design
  • PID control

Frameworks & Tools

  • React
  • Next.js
  • Node.js
  • Django
  • Flask
  • Flutter
  • Riverpod
  • Tailwind CSS
  • Three.js
  • Unity
  • Blender
  • Docker
  • GitHub Actions
  • pytest
  • Jira
  • Agile/Scrum

Certifications

  • EMT-B (NREMT)
  • CPR/AED (American Heart Association)
  • Heartsaver First Aid (AHA)

Away from the keyboard

  • Piano
  • Golf
  • Tennis
  • Hockey
  • Painting
  • Baking
  • Lifting

Service

  • Emergency Medical Technician (EMT-B) · LifeLine EMS

    Oct 2025 – Present

    Patient care and triage in prehospital settings, PCR documentation, handoffs to receiving facilities.

  • Wish Granter · Make-A-Wish

    Aug 2025 – Present

    Coordinate with families and medical teams to plan wishes for children with critical illnesses.

  • Volunteer Coach · Aceing Autism & UTD Tennis Club

    Aug 2024 – Present

    Coach tennis to autistic children, adapting instruction to each kid.

  • Teaching Assistant · Global Health CPR

    Jan 2025 – Present

    Organize and lead free CPR training in underserved communities.

  • Member & Mentee · Artificial Intelligence Society, UTD

    Aug 2023 – Present

    Present self-built AI projects to faculty and industry audiences.