Hire the Best IBM AS/400 Control Language Specialists

Senior FPGA engineer with 10+ years of hands-on design and verification experience, specializing in high-speed networking, SoC development, and open-source FPGA frameworks. Recent work includes: - 5G O-RAN Fronthaul on Xilinx UltraScale+ (eCPRI, 25G Ethernet, JESD204B) - RISC-V SoC debug transport over PCIe on AMD Alveo (LitePCIe, LiteX/Migen) - Ethernet packet scheduler and rate limiter using LiteX/LiteEth (10G, AXI4-Stream) Core strengths: - FPGA platforms: Xilinx/AMD UltraScale+, Alveo, Kintex, Artix · Zynq-7000 · Intel/Altera Cyclone - High-speed interfaces: 10G/25G Ethernet, PCIe (XDMA, LitePCIe), JESD204B, GTH/GTY - Frameworks: LiteX/Migen, Cocotb, Vivado, Quartus - Protocols: AXI4/AXI4-Stream, Wishbone, O-RAN 7.2x, IEEE 802.3, PTPv2 - Verification: UVM, Cocotb, formal verification (VC-Formal, JasperGold), VCS, Xcelium - Languages: SystemVerilog, Verilog, Python, C Available for remote engagements. Comfortable working async across time zones.

I am an expert in SystemVerilog, Verilog, and VHDL with over 5 years of experience in FPGA and IPS verification using Cocotb and UVM. For IPS verification, I primarily use the Cocotb and UVM libraries. Some highlights of my experience include: 1. Working with simulators such as Xilinx Vivado, Cadence, Synopsys, Icarus, and Verilator. Assisting with digital system design projects, including building data paths and control units using Verilog. 2. Extensive experience with microprocessor projects; if you’re looking for an expert in this area, I can help. 3. Proficiency in assembly coding on the Edsim51 simulator using 8051 assembly language. 4. Strong command of C and C++ for related projects. 5. "I am skilled in RISC-V processor design and implementation on FPGA boards. I have expertise in developing, configuring, and deploying RISC-V architectures, enabling efficient and customized processor solutions on FPGA hardware."

I am a highly experienced digital design engineer with 4+ years of professional expertise in ASIC and FPGA design. I specialize in RTL coding using Verilog, VHDL, and SystemVerilog to deliver high-performance, optimized hardware solutions. My technical toolkit includes: - FPGA Design: Vivado, ISE, Diamond, Quartus - ASIC Design: VCS, DVE, DC, Formality, Spyglass - HDL Languages: Verilog, SystemVerilog, VHDL - Design Optimization: Speed, area, and power optimization - Simulation & Verification: Comprehensive testbench development - Tools: Cadence Platform, ModelSim, VCS I have successfully delivered 47+ complex projects including FPGA-based image encryption systems, efficient matrix multiplication designs, Bitcoin miners, and advanced processor architectures. Every project is delivered on time with detailed documentation and verification. Clients appreciate my clear communication, attention to detail, and commitment to creating efficient, production-ready designs. Whether you need RTL coding, synthesis optimization, or full design implementation, I'm ready to help!

Versatile IT Professional with a dual background in Software Engineering and Business Systems Analysis within the banking and financial sector. Expert at bridging the gap between technical architecture and financial operations, from designing API-driven integrations to managing the full SDLC. Proven track record of streamlining data flows and delivering scalable, end-to-end solutions that align engineering roadmaps with business growth.

Your billing says one thing, inventory says another, the field says a third, and nobody has compared them, so the money leaking through the gap stays invisible. Finding it is what reconciliation pipelines, AI agents, and Python automation are for. Every service below is the same problem seen from a different side: operational data that cannot be trusted, in a system that keeps running anyway. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TWO SYSTEMS DISAGREE AND THERE IS NO WAY TO PROVE WHICH ONE IS RIGHT Invoices that will not tie to inventory, assets billed that do not exist, assets running that were never billed, and the only check anyone has ever done was by eye on a spreadsheet. What you get: line-by-line reconciliation across every source, each mismatch classified rather than totalled, and a Python pipeline that reruns the check monthly instead of once. An audit of 121 network links against contract and invoice records turned up 28 billed but absent from inventory and 70 in service but missing from the convention, roughly 1.19 billion FCFA($2M) per quarter that had been invisible because nobody had put the three sources side by side. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SOMEONE ON YOUR TEAM REBUILDS THE SAME REPORT EVERY MONTH Four exports, pasted into a sheet, the same broken rows fixed by hand, sent out, and then again in thirty days, and the cost of it never shows up on any line item. What you get: a scheduled ETL pipeline or a LangGraph agent that assembles the thing end to end, flags the rows that will not reconcile instead of quietly averaging them away, and delivers the finished artifact wherever it needs to land. Python, FastAPI, SQL, whatever the sources demand. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EQUIPMENT FAILS AND THE FIRST WARNING IS A CUSTOMER CALL The sensor data exists, nobody trusts it, and the alerting either screams all day or has never once fired. What you get: anomaly detection and failure prediction tuned so a false alarm costs a phone call and a missed failure does not cost a site, with drift detection on the inputs, because a model reading a lying sensor is more dangerous than no model at all. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ YOU INHERITED SOMETHING THAT HALF WORKS Whoever built it has moved on, the handover was a notebook and a README, and it holds together until connectivity drops, which it always does. What you get: the retraining path, the monitoring, and the documentation that were never written, plus a version your team can change without you in the room. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE NUMBER MOVED AND SOMEBODY HAS TO EXPLAIN WHY Forecasts that cannot survive a question in a meeting are not forecasts, they are decoration. What you get: forecasting with explainability layers, so the person approving the budget sees why it moved and not only that it did. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THESE ANSWERS LOOK DIFFERENT The starting point is the sensor and the meter, not the CSV. An electrical engineering background means the question asked first is what the signal physically is, how the hardware distorts it, and what drift looks like before it quietly poisons a training set. Most data work inherits clean inputs and assumes them. Here the inputs get doubted before the model does, which is usually where the real project was hiding. Constrained environments are the default, not the exception: limited connectivity, sparse labels, sensors that lie, infrastructure hours from the nearest engineer. Systems that need a stable cloud connection and a labelled dataset do not survive there, so they do not get built that way. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ A GOOD FIT WHEN Your data is messier than the brief admits, the systems that hold it were never designed to agree, and you would rather know the true scope than hear a confident yes. A POOR FIT WHEN You want a dashboard skin over numbers nobody has validated, or a model shipped by Friday on data that has not been looked at. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Scoping something down and telling you the problem is smaller than you feared beats taking a contract on a guess. Send the exports, the schema, or the notebook that never made it to production, and you will get back an honest read on what is actually wrong with it.

I am a Flight Control & UAV Simulation Engineer specializing in autonomous systems, guidance-navigation-control (GNC), aircraft simulation, autopilot development, and real-time UAV software engineering. I help companies, defense startups, drone manufacturers, and research teams develop reliable flight control systems, high-fidelity simulations, autonomous UAV behaviors, and mission-critical aerospace software. My expertise combines aerospace engineering, control systems, embedded development, simulation modeling, and data analytics to build complete end-to-end UAV solutions. Core Expertise ✔ Flight Control System (FCS) Development ✔ UAV Autopilot Design & Tuning ✔ Guidance, Navigation & Control (GNC) ✔ Fixed Wing / VTOL / Hybrid UAV Systems ✔ Aircraft Modeling & Simulation ✔ Software-In-The-Loop (SITL) & Hardware-In-The-Loop (HIL) ✔ PID / LQR / Adaptive Control ✔ Navigation Algorithms & Mission Logic ✔ Sensor Fusion & State Estimation ✔ UAV Mission Planning Systems ✔ Swarm & Interceptor Drone Concepts ✔ Telemetry & Communication Protocols ✔ Real-Time Embedded Systems ✔ Data Analytics & Flight Data Analysis ✔ MATLAB/Simulink Aerospace Modeling ✔ Python-based Simulation Frameworks Tools & Technologies Aerospace / Simulation MATLAB Simulink Aerospace Blockset FlightGear X-Plane JSBSim Gazebo AirSim PX4 ArduPilot QGroundControl MAVLink ROS / ROS2 Programming Python C C++ Embedded C Lua Bash Control & Navigation PID Controller Design Kalman Filters Extended Kalman Filter (EKF) State Estimation Sensor Fusion Path Planning Trajectory Generation INS/GPS Integration Data & Analytics NumPy Pandas SciPy OpenCV TensorFlow Real-Time Telemetry Analysis Flight Log Analysis Performance Optimization Embedded & Hardware STM32 Raspberry Pi NVIDIA Jetson UART / SPI / I2C / CAN UDP/TCP Communication Serial Telemetry Systems What I Can Build UAV flight control algorithms Aircraft dynamic models Guidance & navigation systems Autonomous mission software VTOL transition control logic Drone intercept systems Real-time telemetry dashboards SITL/HIL simulation environments Custom autopilot firmware modules Mission planner integrations Swarm coordination logic Flight data analytics pipelines Industries & Applications Defense & Surveillance Autonomous UAV Systems Aerospace R&D Drone Startups Robotics Simulation & Training AI-assisted UAV Operations Counter-UAS / Interceptor Systems I focus on delivering: ✔ Clean & scalable code ✔ Accurate simulations ✔ Stable flight behavior ✔ Optimized control performance ✔ Professional engineering documentation ✔ Reliable communication throughout the project If you need a Flight Control Engineer, UAV Simulation Expert, or Aerospace Software Developer who understands both theory and practical implementation, I can help turn your concept into a working autonomous system. Let’s build advanced UAV systems that actually fly reliably.