"Neel's ability to juggle multiple projects is unlike any I've seen before and made a dramatic difference in the productivity level of our team."
Senior technical consultant
Systems for serious environments
I design and build secure, scalable data platforms for regulated, large-scale systems in healthcare, government, and finance.
PySpark Python Azure AWS Databricks PII/PIPEDA
10+ Years of experience
Designing data systems that last
Designing data systems that last
1B+ Health data points
Processed and optimized
Processed and optimized
3M+ Downloads
Of open-source projects
Of open-source projects
89+ Citations
Across research & publications
Across research & publications
Services
View all services ->PySpark pipeline design
Architecture, performance tuning, migration planning, and production hardening for large-scale data pipelines.
Cloud data architecture
Platform design across Azure, AWS, and Databricks with a focus on operations, scale, and maintainability.
Compliance and governance
PII-aware system design, auditability, role boundaries, and data handling for regulated environments.
Technical leadership
Hands-on delivery support, engineering direction, reviews, and stakeholder translation for high-stakes systems.
Featured writing
View all writing ->
OmniVoice Studio: Local Voice Cloning, Dictation, and Dubbing Without the Cloud
A practical look at OmniVoice Studio, the open-source desktop app that wraps OmniVoice, WhisperX, Demucs, Pyannote, and AudioSeal into a local voice-production workflow for cloning, dictation, and video dubbing.
Jun 2, 2026 · AI Tools
PaperBanana: Turning Research Papers into Publication-Ready Scientific Figures
A practical guide to PaperBanana, the academic-figure generation framework that extracts ideas from research papers, plans figure layouts, generates graphics, and evaluates whether the result communicates the science.
Jun 2, 2026 · AI Research
When Does LeJEPA Learn a World Model?
A practical reading of Klindt, LeCun, and Balestriero's LeJEPA identifiability paper: why Gaussian latent worlds matter, what linear identifiability guarantees, how Lean 4 verification changes the trust story, and what the released code includes.
May 27, 2026 · AI ResearchRecommendations
What colleagues say.
Senior engineers and architects I've worked with directly — in healthcare, finance, and government data platforms.
"His last assignment was very challenging, but he overcame the obstacles and achieved the impossible. I highly recommend Neel for any future opportunities."
"It's rare that you come across standout talent like Neel. He has a unique talent to think outside the box and grasp concepts that most find difficult."
1:1 Mentoring
Work through a data challenge together.
Focused 45-minute sessions on PySpark, cloud architecture, compliance systems, and senior engineering decisions. Book a time that works for you — I'll confirm within 24 hours.
PySpark & Pipelines Cloud Architecture Career Guidance Code Review
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Working with large, sensitive data?
Whether it is a national health platform, a credit risk engine, or a government compliance system, I can help shape the architecture and delivery path.