3. Data, Science & AI

Provides NWS flood stage thresholds for USGS station flood level determination and threshold matching.

Linearizes nonlinear dynamic systems around operating points to enable control system design and analysis.

Preprocesses astronomical light curves by removing outliers, trends, and flattening data for period analysis using lightkurve and time series techniques.

Builds scalable data pipelines, ETL/ELT systems, and real-time streaming infrastructure using modern data stack tools like Spark and Airflow.

Solves finite-horizon Linear Quadratic Regulator problems using dynamic programming for Model Predictive Control applications.

Efficiently trains GPT-2 scale language models (124M parameters) on a single GPU with mixed precision and advanced optimizers.

Optimizes Model Predictive Control parameters including prediction horizon and cost matrices for web handling applications.

Detects periodic signals in unevenly sampled astronomical time series data using Lomb-Scargle periodogram analysis.

Generates natural-sounding audio from text using OpenAI's Text-to-Speech API with customizable voices and tones.

Counts object occurrences in images using computer vision algorithms for automated visual data analysis.

Normalizes manufacturing defect reason descriptions using semantic matching and error correction to align with product codebooks.

Analyzes 3D mesh files (STL) to compute geometric properties, extract attributes, and filter debris from noisy scan data.

Transcribes video content into timestamped text using the pre-installed Whisper tiny model for efficient speech recognition.

Parses power system network data including bus, generator, and branch information for power flow analysis.

Extracts text, tables, and structured information from PDF documents using Python libraries and command-line tools.

Solves nonlinear programming (NLP) problems using CasADi and IPOPT, supporting symbolic variables, constraints, and power systems optimization patterns.

Computes AC branch power flow using pi-model equations with transformer tap ratio and phase shift, supporting nodal balance and MVA limit checks in power systems analysis.

Adds integral action to Model Predictive Control for offset-free tension tracking in engineering systems.

Performs matched filtering for gravitational wave detection using PyCBC, applying template waveforms in time and frequency domains to identify signals in detector data.

Provides data conditioning for gravitational wave detector strain data, including high-pass filtering, resampling, and PSD estimation using PyCBC TimeSeries.

Provides reflow machine maintenance guidance by analyzing thermocouple, MES, and defect data against technical handbooks for validation and threshold determination.

Creates audiobooks by converting web content or text files into audio using AI-powered TTS services with automatic fallback between providers.

Creates HTML dashboards with KPI cards, bar/pie/line charts, and progress indicators for data visualization needs.

Automates deployment and management of AI agent swarms in cloud environments using event-driven workflows on the Flow Nexus platform.