3. Data, Science & AI

Calculates key control system performance metrics including rise time, overshoot, steady-state error, and settling time from simulation data.

Analyzes video content using Google Gemini API for object counting, pedestrian detection, and vehicle tracking in surveillance applications.

Calibrates GLM parameters to minimize RMSE in water temperature simulation, aligning model outputs with observed data.

Extracts locational marginal prices (LMPs) from DC-OPF solutions for nodal electricity pricing, reserve clearing, and price impact analysis.

Speeds up computationally intensive tasks via joblib-based parallel execution across multiple CPU cores for grid search and batch data processing.

Extracts text content from images using the Tesseract OCR engine via Python.

Builds unified multi-level e-commerce product taxonomies using AI clustering and intelligent naming from hierarchical category paths.

Builds unified multi-level product category taxonomies using AI-driven clustering and intelligent naming from e-commerce category paths.

Calibrates GLM parameters to minimize RMSE between simulated and observed water temperature data in environmental modeling.

Performs DC power flow analysis for transmission networks, including susceptance matrix construction, line flow calculation, and sensitivity analysis.

Provides spatial utilities for hexagonal grid calculations including distance, neighbor finding, and spatial queries in offset coordinate systems.

Aligns Python version and dependencies from requirements.txt/environment.yml to ensure reproducible NLP research code installation.

Calculates PI/PID controller gains for first-order systems using Internal Model Control (IMC) tuning rules.

Preprocesses gravitational wave detector strain data via high-pass filtering, resampling, and PSD estimation for matched filtering using PyCBC TimeSeries.

Enables high-performance numerical computing and machine learning workflows using JAX, featuring automatic differentiation, JIT compilation, and gradient computations for scientific and ML applications.

Fuses visual (face/lip tracking via OpenCV) and audio features to enhance speaker diarization accuracy in video files with multiple speakers.

Solves constraint optimization problems for spatial map item placement, maximizing objectives while satisfying constraints on grid layouts.

Performs multi-hop evidence search and structured extraction from enterprise documents, chats, meetings, PRs, and URLs, returning JSON-ready entities with evidence pointers.

Processes GLM model output files, extracting temperature data from NetCDF, converting depth coordinates, and calculating RMSE against observational data.

Performs Difference-in-Differences causal analysis to identify demographic drivers of behavioral changes with statistical significance testing for A/B tests and policy evaluation.

Provides seamless access to earthquake data from FDSN networks via ObsPy's client API for seismological research.

Optimizes power generation costs by computing optimal generator setpoints, calculating operating margins, and handling generator cost functions in electrical systems.

Calibrates GLM parameters to minimize RMSE between simulated and observed water temperatures in environmental modeling.

Enables multi-hop evidence search and structured extraction from enterprise artifacts (docs, chats, meetings, PRs), returning JSON-ready entities with disambiguation.