Connectivity
PLC, CNC, edge and industrial protocol integration across brownfield environments.
INDUSTRIAL ENGINEER · 12 YEARS
From machines and controls to industrial data and AI.
I work at the boundary between factory equipment and software — connecting PLCs, CNCs and industrial systems, investigating difficult OT problems, validating performance, and turning machine data into usable engineering context.
12Years across automation, IIoT & industrial systems
10kTags tested in scalability workloads
OT→AICurrent engineering direction
IMPACT DASHBOARD
Engineering across the industrial stack.
Evidence-led RCA
Wireshark/PCAP, logs, controlled experiments and repeatable performance tests.
Manufacturing delivery
Automotive, OEE, energy, traceability, machine connectivity and production systems.
Industrial AI
RAG, engineering knowledge systems and AI-assisted troubleshooting with human verification.
ENGINEERING SHOWCASE
Selected systems and engineering stories.
Not just a project list: each item is framed around the problem, constraints, engineering decisions, evidence and outcome.
Industrial Connectivity & Performance Lab
Built a controlled OT environment for connectivity validation, driver testing, scalability characterization and protocol-level root-cause analysis.
AI-Assisted OT Troubleshooting
Engineering workflow combining manuals, configurations, logs and PCAP evidence to support traceable root-cause investigation.
PLC/CNC Parser & Engineering Data Platform
Multi-vendor parsing workflows that turn controller projects and configuration files into structured, reusable engineering context.
Automotive Rubber Curing Quality & Traceability
Used process instrumentation and production evidence to identify unauthorized parameter changes, then added access control, interlocks and traceability.
Turbocharger Journal Bearing Verification
Automated loading, rotation, barcode verification and reject handling for visually similar journal-bearing variants under real production constraints.
Automotive Production Line Simulator
A reusable manufacturing environment for production flow, OEE, quality, rework, industrial data and FDE/Industrial AI experimentation.
CASE STUDIES
Real constraints. Clear ownership.
01 — Journal Bearing Verification
Problem
Near-identical bearing variants, reflective surfaces and unreliable manual barcode scanning created assembly risk.
Approach
Enclosed scan cell, controlled lighting, servo rotation, Cognex reader and PLC/LabVIEW verification handshake.
Engineering
PLC/HMI sequencing, scanner communication, interlocks, reject confirmation and retry/timeout logic.
Outcome
1,000+ trial cycles, approximately 95–98% read/verification accuracy depending on bearing wear, 20–30 s cycle.
02 — Rubber Curing Quality Escape RCA
Problem
Export quality failures persisted despite SOPs and inspections.
Evidence
Instrumented temperature/pressure and production behavior across shifts; repeated the observation across multiple machines.
Finding
Production parameters were being changed to accelerate cycles, particularly during night shifts.
Control
Password protection evolved into automatic parameter restoration and management-cleared alarms.
ENGINEERING JOURNEY
Materials → controls → machines → factories → data → intelligence.
LitmusIndustrial Engineer
Industrial connectivity, driver validation, performance/scalability, protocol troubleshooting and lab infrastructure.
TrimasysAssistant Project Manager — IIoT
OT/IT integration, machine connectivity, OEE, energy, traceability and customer delivery.
Wipro PARISolution Engineering / IIoT Pre-sales
Automotive production-line concepts, RFQs, architecture, BoQ/estimation and customer discovery.
Quaint TechnomationPartner / Technical Leadership
Industrial automation business, PLC/HMI systems, machine retrofits, quality controls and IIoT projects.
Early Automation RolesApplication & PLC Engineering
Controls, sensors, drives, PLC programming, commissioning and industrial application engineering.
TU ChemnitzM.Sc. Electrical & IT Systems
Micro & Nano Systems; AFM/SEM, TERS and semiconductor/material characterization.
TECHNICAL EXPERTISE
Industrial systems first. Software and AI where they create leverage.
OT & Connectivity
EtherNet/IP/CIP, Siemens S7, OPC UA, Modbus TCP/RTU, MQTT, MTConnect, FANUC FOCAS, Beckhoff ADS, DNP3.
Engineering & Data
Python, Node-RED, SQL, InfluxDB, Grafana, Wireshark/PCAP, REST/GraphQL, industrial edge and UNS patterns.
AI & Applications
RAG, AI agents, FastAPI, React, Docker, engineering knowledge systems, evaluation and human-in-the-loop workflows.
INDUSTRIAL AI
AI grounded in machine context and engineering evidence.
My focus is not AI replacing engineering judgment. It is AI helping engineers retrieve the right evidence, understand industrial context, investigate faster and make better-supported decisions.
Connect→Normalize→Contextualize→Reason→Verify→Act
PROFESSIONAL HUB
Building toward Industrial AI & Forward Deployed Engineering.
Open to roles where manufacturing-domain depth, customer-facing engineering, industrial data and AI deployment meet.