I'm Pankaj Raghuvanshi. I help R&D teams replace manual analysis with automated computational pipelines — multi-agent LLM workflows, computer vision, and MATLAB/Python tools.
I partner with engineering teams to bridge high-level LLM reasoning with deterministic industrial pipelines.
Multi-agent state machines with robust tool integration, structured JSON outputs, RAG pipelines, and automated guardrails.
Automated MATLAB and Python computational pipelines that process raw sensor diagnostics and bio-signals into actionable reports.
Custom deep learning classifiers and client-side web inference applications deployed directly to server, edge, or browser environments.
Recent projects across autonomous agent orchestration, engineering pipelines, and vision models.
Visual AI agent workflow builder allowing engineers to design, simulate, and execute multi-node autonomous LLM agent chains on a drag-and-drop flowchart canvas.
Automated email routing and triage pipeline for Outlook and Gmail. Parses incoming message bodies, extracts actionable metadata, and routes messages using custom flow logic.
End-to-end deep learning classifier resolving diagnostic scan bottlenecks, processing raw X-Ray inputs to output verified classification labels.
Production engineering pipeline transforming automotive sensor diagnostics, reducing manual validation processing from weeks down to hours.
Replacing manual sample sorting on production lines with a high-throughput signal & image processing pipeline.
Recurrent LSTM network model mapping continuous bio-signals from wearable devices to predict performance cycles and fatigue thresholds.
I'm an AI Orchestrator and Systems Engineer based in Stockholm, Sweden. My background combines deep learning architectures with industrial signal processing, sensor simulation, and automated workflow design.
Rather than shipping isolated prompt prototypes, I build complete, testable pipelines that integrate directly into existing production codebases — ensuring reliability, evaluation guardrails, and measurable efficiency gains.
Describe your AI workflow challenge or MATLAB/Python automation needs. I will review your requirements and provide a initial technical brief within 24 hours.