You will get I will convert your C/C++ algorithm into optimized FPGA IP using Vitis HLS
Project details
You'll receive FPGA IP that actually hits its throughput target not C code that merely compiles through HLS.
Most HLS work fails at the same place: the tool synthesizes, but the initiation interval never reaches 1 because of loop-carried dependencies, array port conflicts, or a dataflow region that doesn't stream. I focus on exactly those problems restructuring loops, partitioning arrays, and shaping the dataflow so the accelerator sustains real throughput.
I'm an FPGA and DSP engineer with 10+ years of experience, a Master's focused on FPGA design, and prior industry experience as an SoC Design Engineer. I've accelerated FFTs, filters, and radar and AI processing chains on Xilinx Zynq and Kria platforms, so I understand both the algorithm and the hardware it must fit inside.
You'll get optimized HLS source with documented pragmas, the exported Vivado IP, C and C/RTL co-simulation results proving functional correctness, and a report showing achieved II, latency, clock frequency, and resource usage against your targets.
Message me before ordering with your algorithm and target device, and I'll tell you honestly what performance is achievable.
Most HLS work fails at the same place: the tool synthesizes, but the initiation interval never reaches 1 because of loop-carried dependencies, array port conflicts, or a dataflow region that doesn't stream. I focus on exactly those problems restructuring loops, partitioning arrays, and shaping the dataflow so the accelerator sustains real throughput.
I'm an FPGA and DSP engineer with 10+ years of experience, a Master's focused on FPGA design, and prior industry experience as an SoC Design Engineer. I've accelerated FFTs, filters, and radar and AI processing chains on Xilinx Zynq and Kria platforms, so I understand both the algorithm and the hardware it must fit inside.
You'll get optimized HLS source with documented pragmas, the exported Vivado IP, C and C/RTL co-simulation results proving functional correctness, and a report showing achieved II, latency, clock frequency, and resource usage against your targets.
Message me before ordering with your algorithm and target device, and I'll tell you honestly what performance is achievable.
AI Development Type
Deep Learning, Model TuningAI Tools
MATLAB, NVIDIA AI Platform, PyTorch, TensorFlowAI Development Language
C++What's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$850
|
|---|---|---|---|
| Delivery Time | 6 days | 12 days | 25 days |
Number of Revisions | 0 | 1 | 2 |
AI Model Integration | - | - | |
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Frequently asked questions
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Sep 19, 2023
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Aug 13, 2023
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About Abdul
FPGA & Signal Processing Engineer | Verilog, Vitis HLS, MATLAB Expert
Malakand, Pakistan - 3:56 am local time
I take projects end to end: from initial MATLAB modeling through Verilog RTL and Vitis HLS to full hardware deployment on Xilinx Zynq, Kria KV260 and KR260 platforms.
What I can do for you:
✅ FPGA / RTL design in Verilog, SystemVerilog and VHDL
✅ Vitis HLS, converting C/C++ algorithms into optimized hardware IP
✅ Signal processing accelerators (FFT, IFFT, FIR, matrix operations, custom DSP cores)
✅ AI / vision acceleration on Kria KV260 and KR260 (DPU, Vitis AI, smart-camera and robotics pipelines)
✅ MATLAB / Simulink modeling, fixed-point conversion, and golden-reference verification
✅ Vivado design flow: IP integration, AXI4 / AXI-Stream interfaces, synthesis, timing closure
✅ Zynq SoC and Kria hardware-software co-design (PYNQ, PetaLinux, bare-metal)
✅ Testbench development, simulation, and waveform debugging (ModelSim, Vivado XSIM)
✅ PCB design support for FPGA / SoC boards
Background:
• Master's research in FPGA design, currently developing a Serial Commutator FFT (SC-FFT) accelerator for millimeter-wave SAR imaging on the Xilinx Zynq-7020
• Former SoC Design Engineer at the National Institute of Electronics (Pakistan), full-cycle digital and FPGA design
• Bachelor's in Electrical and Electronic Engineering, Air University, Islamabad
• Active researcher in FPGA-based AI and DSP acceleration
Tools & technologies:
Verilog, SystemVerilog, VHDL, Vitis HLS, Vivado, Vitis/Xilinx SDK, Vitis AI, MATLAB, Simulink, Python (PYNQ), C/C++, PetaLinux, Git, Altium Designer, KiCad
Platforms: Zynq-7000, Zynq UltraScale+, Kria KV260 & KR260, Artix-7
Why clients work with me:
✅ Verification-first approach, every module is simulated and tested before integration
✅ Clean, well-commented code with proper documentation
✅ Clear, on-time communication with updates at every stage
✅ Realistic timelines and honest scope, no overpromising
Whether it's a single RTL module or a full FPGA system, send me your requirements. I'll review them and come back with a clear plan, an honest assessment of fit, and a realistic timeline.
Abdul Mohsin
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Algorithm review and feasibility assessment
I review your C/C++ code and performance targets, identify the bottlenecks and any dependencies that block pipelining, and confirm in writing what II, latency, and resource usage are realistically achievable before work begins.
Code restructuring for synthesis
I refactor the algorithm into an HLS-friendly form: removing dynamic memory and unsupported constructs, restructuring loops to break dependencies, and converting to fixed-point where it saves resources without losing accuracy.