Constiertel

Consti Ertel

Equity research, analytical systems, and machine learning projects.

I build ML systems, publish equity research, and turn messy datasets into decisions worth making.

Current focus

  • Self-supervised vision and generative model research — building toward deployable ML systems.
  • Equity research with a long-horizon, cash-flow-first lens focused on durable business models.
  • Data science and ML coursework at UC Berkeley spanning statistics, optimization, and inference.

Recent research

Editorial stock workups built for patient readers.

Selected builds

Machine learning and analytics projects with production intent.

Fintech / AI Application Live product

Fincast

AI-assisted valuation workflows for public equities, with scenario modeling, fair value outputs, and live market context in one interface.

Next.jsAnthropic APIMarket dataValuation models
ML / Self-Supervised Learning Research build

JEPA Experiment

A research comparison of representation-learning objectives, testing whether JEPA-style prediction produces more useful embeddings than reconstruction.

PyTorchVision TransformerCIFAR-10Representation learning
ML / Generative AI Prototype

Personalized Listing Photo Editing

A compact personalization pipeline for learning a photographer-specific editing style without keeping a heavyweight generation model in production.

BLIP-2FLUX.1 KontextInstructPix2PixLoRA