3. Data, Science & AI

Analyzes XPS data to determine surface elemental composition, chemical states, and depth profiles of materials.

Configures NVIDIA NeMo Guardrails to enforce safety policies and control outputs in conversational AI systems, preventing harmful interactions.

Manages and executes mathematical benchmark suites for evaluating numerical algorithm performance and computational tool efficiency.

Improves RAG retrieval quality using cross-encoder reranking and MMR diversity filtering for more relevant and diverse document results.

Configures Model Predictive Control (MPC) models for system identification, parameter tuning, and implementation in engineering applications.

AI-powered route optimization engine using VRP and TSP algorithms to minimize transportation costs and delivery times while maximizing vehicle utilization.

Provides scenario-based simulation environments for validating Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) systems.

Packages and serves machine learning models using BentoML, including containerization for production deployment.

Selects and configures optimal strategies for incremental model training, including online learning and incremental updates.

Provides integration with Qdrant vector database for efficient vector search, filtering, and storage using payloads and quantization.

Performs computational hydraulic analysis for open channel flow, culverts, and pipe networks.

Analyzes hardware calibration data to determine optimal qubit selection for quantum computing systems.

Analyzes next-generation sequencing data quality by evaluating read quality, adapter contamination, and sequence composition using FastQC.

Performs finite element analysis for structural engineering tasks including linear/nonlinear analysis, modal analysis, and load combination processing.

Provides reliability prediction and analysis tools including MTBF/MTTF calculations, FMEA, fault tree analysis, and accelerated life testing data interpretation for engineering systems.

Assists in constructing formal proofs of algorithm correctness using mathematical reasoning and formal methods.

Enables real-time audio signal processing with customizable filters for music and voice applications.

Enables human oversight in LangGraph AI workflows by adding approval and intervention points for critical decisions.

Enables real-time supply chain monitoring and simulation through a digital twin model for operational insights and optimization.

Generates portfolio dashboards with data visualizations and trend analysis for performance tracking.

Optimizes prosthetics and orthotics design by integrating biomechanical requirements with manufacturing constraints through computational modeling.

Analyzes ground test data from propulsion systems, including acquisition, processing, and interpretation for engineering evaluation.

Sets up LlamaIndex agents and query engines for RAG-powered applications to enhance AI responses with external data retrieval.

Applies LDA and NMF topic modeling to large text corpora for pattern discovery and thematic analysis.