Skip to main content
Hulash Chand
homeprojectslocus
Hulash Chand
Loading Hulash Chand’s portfolio…
Hulash Chand

Senior Data Engineer specialising in AWS, Databricks, and Snowflake: streaming and lakehouse platforms at production scale.

I build the infrastructure that turns raw data into production systems, from pipeline orchestration to ML deployment across AWS, Azure, and GCP. I'm currently a Senior Data Engineer at Innowise Solutions, working on cloud-native data platforms and MLOps at production scale. MSc in Data Science with Financial Technology, University of Bristol.

Working stack — click a category
Case Studies

Selected Work

Five projects spanning agentic AI architecture, production MLOps, generative diffusion fine-tuning, applied ML research, and systems-level interactive builds.

Generative AI / Diffusion Fine-Tuning
124 Epochs, 3,100 Steps100 Plates, 1,102 SpecimensRank-16 LoRA
Education / AI Architecture
5 Exam Domains60-Question BlueprintArchitecture Decision Lab
MLOps
113 UK Fields80% CICI/CD Pipeline
ML / Signal Processing
57-dim MFCCPCA → 3DkNN Classifier
Interactive Web
51 IssuesLegends + Canon3D Rolodex UI
Case Studies

Selected Work

Five projects spanning agentic AI architecture, production MLOps, generative diffusion fine-tuning, applied ML research, and systems-level interactive builds.

01 — Generative AI / Diffusion Fine-Tuning

Haeckel LoRA: Generative Diffusion on Kunstformen der Natur

A LoRA fine-tune of Stable Diffusion 1.5 trained on all 100 plates of Ernst Haeckel's Kunstformen der Natur: a 124-epoch run, an honest evaluation of where it converges and where it doesn't, and six novel specimens the model invented in a style it learned from scratch.

124Epochs, 3,100 Steps
124 Epochs, 3,100 Steps100 Plates, 1,102 SpecimensRank-16 LoRAPyTorch

Let's build something.

Now Playing

Utopia

Horacio Pagani