Danny Goldblum

I am aMachine Learning Engineer

ML researcher & engineer focused on robust inference, reliable data plumbing, and clean UX.

Technical Expertise

Select a role to view specialized skills

PyTorch
TensorFlow
Deep Learning
NLP, Transformers
Reinforcement Learning
Time-Series Forecasting
Probabilistic Inference
Bayesian Methods
Statistical Analysis

Projects

A mix of professional work, research, and personal projects

Multi-Region Neural Population Modeling (M.S. Thesis)
Research

Multi-Region Neural Population Modeling (M.S. Thesis)

Probabilistic latent-factor models for multi-region neural spike trains with scalable inference and cross-validation on Neuropixels-style datasets.

PythonPyTorchNumPyProbabilistic ModelingVariational InferenceScientific Computing
Municipal Contract & Bid Scraping Framework
Freelance

Municipal Contract & Bid Scraping Framework

Modular scraper architecture for heterogeneous municipal procurement sites with retries, logging, and structured exports for downstream analytics.

PythonRequestsBeautifulSoupPlaywrightPandasMySQLETL
Logistics ETL & Shipping Delay Detection
Freelance

Logistics ETL & Shipping Delay Detection

End-to-end ETL integrating SharePoint/Microsoft Graph and logistics APIs into a queryable MySQL layer with automated reporting.

PythonMicrosoft Graph APIAWS (EC2/S3)MySQLETLData Validation
Custom LLM Experiments
Tooling

Custom LLM Experiments

Exploratory work on custom LLM transformer architecture and supporting scripts for experimentation and iteration.

PythonLLM ToolingTokenizationTransformersAttention
Peptide Charge Prediction
Machine Learning

Peptide Charge Prediction

Sequence-based ML pipeline to predict mass spectrometer peptide fragment charge states using feature engineering and supervised learning evaluation.

Pythonscikit-learnPandasBioinformaticsRegression AnalyisFeature Engineering
LSTM Volatility Prediction
Time Series

LSTM Volatility Prediction

Recurrent neural network model for volatility forecasting with baseline comparisons against classical econometric approaches.

PythonPyTorchTime SeriesLSTMModel Benchmarking
NLP Risk Prediction
Natural Language Processing

NLP Risk Prediction

NLP classification of finanical vs non-financial institutions using earnings calls and regression-based risk prediciton.

PythonNLPText ClassificationPandasNLTKTransformersTF-IDF
Sudoku Web App
Full Stack

Sudoku Web App

Full-stack Sudoku application featuring puzzle interaction, validation mechanics, and a clean web UI experience.

Web AppFrontendBackendAPIs
Reinforfcement Learning Day Trader
Reinforcement Learning

Reinforfcement Learning Day Trader

RL agent for day trading simulation comparing Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C) models with market data and performance evaluation.

PythonReinforcement LearningAgentsExperimentation

Ready to build something great?

Whether you need ML infrastructure, data pipelines, or full-stack development, I deliver practical solutions that work.

Fast turnaround on proposals

Flexible engagement models

Clear communication, no surprises

Prefer email? goldblumcodelabs@gmail.com

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I'll respond within 1–2 business days