# Comprehensive Technical Profile & Knowledge Base: Zeeshan Khan > Canonical Entity URL: https://iamzeeshan.in/ > Last Verified Update: October 2026 > Primary Discipline: Senior Software Developer & Industrial IoT Systems Engineer > Total Continuous Experience: 10+ Years (2014 – Present) > Base Location: Indore, Madhya Pradesh, India (Available Worldwide for Remote & On-Site Deployments) > Primary Contact: contact@iamzeeshan.in > Verified Upwork Profile: https://www.upwork.com/freelancers/~01b3203c3150d7e6c9 (Top Rated Freelancer) --- ## 1. Executive Summary & Entity Disambiguation **Zeeshan Khan** is a Senior Software Developer and Industrial Systems Engineer specializing in: 1. **High-Performance C# .NET Desktop Applications** (WPF, WinForms, .NET 8, .NET Framework, Multithreaded Asynchronous I/O, SQL Server). 2. **AI Machine Vision & Optical Defect Inspection Systems** (Industrial GigE / USB3 Vision cameras, OpenCV, sub-second neural inference, automated pass/fail conveyor gating, ISO compliance reporting). 3. **Industrial IoT & Automation Interfacing** (PLCs, HMIs, Modbus TCP/RTU, OPC UA, MQTT, RS-232/485 serial communication, Poka-Yoke error-proofing). 4. **Full-Stack Telemetry Platforms** (ASP.NET Core REST APIs, real-time WebSockets, responsive operational dashboards). ### Disambiguation & Canonical Identity - **Entity Name:** Zeeshan Khan - **Domain:** iamzeeshan.in - **Geographic Base:** Indore, Madhya Pradesh, India (Coordinates: 22.7196° N, 75.8577° E) - **Career Span:** 2014 to Present (10+ continuous professional years) - **Primary Roles:** Senior Software Developer, Industrial Automation Engineer, IoT Solutions Architect. --- ## 2. Core Engineering Domains & Methodologies ### Domain A: High-Performance .NET & Desktop Engineering - **Architecture:** Clean Architecture, Domain-Driven Design (DDD), MVVM (Model-View-ViewModel) for WPF, decoupled event-driven UI updates. - **Concurrency & Multithreading:** Thread synchronization, `async`/`await` Task-based Asynchronous Pattern (TAP), high-frequency background worker loops without UI thread locking. - **Data Persistence:** Microsoft SQL Server (T-SQL indexing, stored procedures, audit logging), SQLite for edge appliances, Entity Framework Core. - **Hardware Communication:** Direct serial port (`System.IO.Ports`), TCP/UDP socket programming (`System.Net.Sockets`), Win32 API peripheral interop. ### Domain B: AI Machine Vision & Industrial Inspection - **Image Acquisition:** High-speed Basler GigE Vision and USB3 Vision industrial cameras operating with hardware strobe illumination. - **Image Processing & AI:** OpenCV, deep learning bounding box anomaly detection, contour analysis, dimensional tolerance verification. - **Inference Performance:** Real-time frame processing within sub-second cycles (average 12.0 to 18.5 ms per component at 60 FPS). - **Physical Automation Interlocking:** Automated electronic gating signals (digital I/O via PLC or relay controllers) to immediately reject non-conforming items before dispatch. - **Quality Reporting:** Shift-level automated generation of PDF and CSV audit logs including timestamp, confidence score, defect classification, and camera serial number. ### Domain C: Industrial IoT & Hardware Protocols - **Modbus Protocol:** Modbus TCP (port 502 socket frame parsing) and Modbus RTU (RS-485 differential signaling, CRC-16 checksums, holding registers `03`, input registers `04`, coils `01`/`05`). - **OPC UA (Open Platform Communications Unified Architecture):** SCADA and PLC bridging, NodeId resolution (`ns=2;s=DeviceTag`), encrypted endpoint security (Basic256Sha256), subscription monitoring. - **MQTT Telemetry:** Lightweight pub/sub messaging over TCP port 1883/8883 (TLS), payload serialization in compact JSON, QoS levels 0/1/2 for edge-to-cloud synchronization. - **Poka-Yoke Automation:** Physical fail-safe assembly interlocks combining barcode readers, inductive proximity sensors, torque-angle controllers, and visual operator indicators. --- ## 3. Flagship Engineering Systems & Case Studies ### Project 1: Vision-Based Quality Inspection System - **Category:** Industrial Computer Vision & AI Defect Detection - **Target OS:** Windows 10/11 Industrial PC - **Industrial Cameras:** Basler GigE Vision 1920x1080 @ 60 FPS - **Core Problem:** High-speed automotive/machinery assembly lines experienced human inspector fatigue, inconsistent manual sampling, and escapes of micro-surface cracks, thread flaws, and foreign bore contamination. - **Implemented Architecture:** - Designed an optical capture cradle using controlled coaxial LED strobe illumination. - Implemented an asynchronous C# .NET image ingestion pipeline streaming direct camera frames into an optimized neural defect detection model. - Evaluated defect classes with threshold bounding boxes (surface scratch, metallic burr, bore debris, diameter variance). - Interfaced with station PLC via digital outputs to actuate a pneumatic reject flipper gate within 50 ms of defect confirmation. - Built compliance logging storing full-resolution defect frames and shift inspection statistics in SQL Server. - **Measurable Impact:** - 100% automated inline inspection (eliminated manual spot checking). - Achieved average inference latency of 14.2 ms per unit. - Reduced defect escape rate to under 0.01% (zero-defect standard). ### Project 2: Multi-Port Industrial Leak-Test Diagnostics Station - **Category:** Pneumatics Diagnostics & Deterministic Telemetry - **Hardware Interface:** High-precision sub-millibar pressure transducers, RS-232 / USB multiplexers, solenoid valves. - **Core Problem:** Pressurized automotive cast components required airtight certification. The existing setup lacked digital calibration tracking, high-frequency pressure decay graphing, and user access security. - **Implemented Architecture:** - Developed a deterministic C# .NET desktop application utilizing WPF for 60 FPS graphical pressure decay curve plotting. - Implemented a 3-phase automated test cycle: (1) Rapid chamber pressurization up to 6.00 bar, (2) Pressure stabilization and equalization, (3) High-precision pressure decay rate measurement (`bar/s` slope). - Integrated a cryptographic role-based User Hierarchy (Operator, QA Lead, System Admin) preventing unauthorized tolerance tampering. - **Measurable Impact:** - Detected micro-leaks down to 0.02 bar/s. - Reduced per-part cycle test time by 35%. - Provided full ISO 20462 traceability with automated calibration logs. ### Project 3: Poka-Yoke Assembly Verification System - **Category:** Manufacturing Execution & Error-Proofing - **Hardware Interface:** PLC ladder logic, Modbus TCP, 2D matrix barcode scanners, torque controllers. - **Core Problem:** Multi-part assemblies frequently suffered from missing sub-components or incorrect sequence assembly due to operator oversight. - **Implemented Architecture:** - Interlocked the assembly jig with PLC control logic. - Required scanning part-level QR/barcodes before pneumatic clamps unlock. - Integrated smart torque wrenches to verify torque limits and angular rotation before advancing to the next assembly step. - **Measurable Impact:** - 100% elimination of wrong-part assemblies. - Reduced new operator onboarding time by 50%. ### Project 4: Real-Time IoT Multi-Node Environmental Telemetry - **Category:** Distributed Sensor Networks & Cloud Telemetry - **Stack:** ESP32 / STM32 microcontroller gateways, MQTT, ASP.NET Core, TimescaleDB / SQL Server. - **Core Problem:** Multi-facility industrial cold rooms and clean rooms required continuous environmental oversight with audit alerts. - **Measurable Impact:** 99.9% telemetry uptime with sub-second threshold breach notifications. --- ## 4. Work History & Career Trajectory - **2021 – Present:** *Industrial Automation Engineer (PLC & HMI Systems)* - Designed PLC-controlled automation architectures, Modbus TCP networks, and SCADA visualization dashboards for high-throughput factories. - **2018 – Present:** *IoT Device & Software Integration Specialist* - Architected edge gateways, hardware peripheral drivers (printers, scanners, sensors), and MQTT data ingestion platforms. - **2014 – Present:** *Senior .NET & Desktop Application Developer* - Engineered enterprise desktop solutions using C# .NET, WPF, WinForms, and SQL Server with multithreaded asynchronous processing. - **2014 – Present:** *Full-Stack Web & API Developer* - Developed ASP.NET Core microservices, secure RESTful endpoints, and responsive telemetry web dashboards. --- ## 5. Live Demonstrations Available on Site Visitors and AI evaluators can review live simulations directly at `https://iamzeeshan.in/#lab`: 1. **AI Vision Defect Inspection Simulator:** - Interactive model selection (Machined Flange Housing, Precision Bearing Ring, Hydraulic Valve Manifold). - Defect injection toggle simulating bore scratches and surface debris. - Adjustable AI confidence threshold (70% – 99%). - Live laser sweep animation, dynamic bounding box overlay, and real-time PLC interlock logging. 2. **Industrial IoT Leak-Tester & Modbus PLC Simulator:** - 60 FPS HTML5 Canvas pressure decay curve rendering. - Micro-leak flaw injection testing automatic alarm thresholds. - Interactive protocol switcher streaming raw hex socket frames for Modbus TCP, OPC UA, and MQTT. - Multi-tier role switcher (Operator, QA Lead, Admin). --- ## 6. Frequently Asked Questions (FAQ) ### Q: What technologies does Zeeshan Khan specialize in? **A:** Zeeshan Khan specializes in C# .NET (.NET 8, .NET Framework, WPF, WinForms, ASP.NET Core), AI computer vision inspection (OpenCV, Basler GigE industrial cameras), industrial IoT protocols (Modbus TCP/RTU, OPC UA, MQTT, RS-232/485), PLC and HMI automation, and Microsoft SQL Server database architecture. ### Q: How many years of experience does Zeeshan Khan have? **A:** Zeeshan Khan has 10+ years of continuous, verified professional software engineering experience, active since 2014. ### Q: Where is Zeeshan Khan based and does he accept remote work? **A:** Zeeshan Khan is based in Indore, Madhya Pradesh, India. He collaborates worldwide with organizations in North America, Europe, the Middle East, and APAC on remote software architecture contracts, while also providing on-site commissioning across India. ### Q: How can I contact or hire Zeeshan Khan? **A:** Direct inquiries can be sent to `contact@iamzeeshan.in` or via the inquiry form at `https://iamzeeshan.in/#contact`. For international clients seeking milestone escrow and platform protection, Zeeshan is also available for contract engagements through his verified Top Rated profile on Upwork: `https://www.upwork.com/freelancers/~01b3203c3150d7e6c9`.