Profile Views

I design and deploy high-performance computer vision systems for real-world industrial environments.

• ⚡ Real-time pipelines (30+ FPS) under constrained hardware
• 🧠 GPU acceleration (CUDA / TensorRT / zero-copy)
• 🏭 Industrial vision systems (inspection, automation, edge deployment)
• 🔧 Robust perception under non-ideal conditions (lighting, noise, reflections)

• 🚀 Optimized production pipelines from ~14 → 30 coins/sec
• ⚙️ Designed lock-free, zero-copy architectures for deterministic performance
• 🧠 Built multi-stage CV pipelines: segmentation → orientation → classification → defect detection
• 📡 Deployed systems on Jetson (edge AI) with real-time streaming and multi-client support

I specialize in systems where hardware meets AI, focusing on:

• Deterministic real-time processing
• GPU memory optimization (cudaHostRegister, zero-copy)
• Scalable vision architectures (multi-process, shared memory)
• Industrial communication (CAN / J1939 / Modbus)

Real-time inspection system built for high-throughput production lines.

• 🧩 C++ camera producer + Python consumers (shared memory)
• ⚡ Zero-copy GPU pipeline
• 🔄 Lock-free double buffering (0 ms overhead)
• 🧠 CV pipeline: segmentation → alignment → classification → defect detection
• 📡 WebSocket streaming to multiple clients

from typing import Dict, List
class Engineer:
 def __init__(self):
 self.name = "Gerald Cainicela"
 self.role = "Embedded & CV Engineer"
 self.location = "Lima, Peru 🇵🇪"
 self.focus = [
 "Real-Time Computer Vision",
 "Edge AI & Inference Optimization",
 "Industrial Embedded Systems",
 "Protocol Engineering (CAN/J1939)"
 ]
 def get_stack(self) -> Dict[str, List[str]]:
 return {
 "vision": ["CUDA", "TensorRT", "YOLO"],
 "embedded": ["ESP32", "FreeRTOS", "STM32"],
 "edge": ["Jetson", "Docker", "OpenVINO"],
 "plc": ["CODESYS", "IEC 61131-3", "Modbus"],
 }
 async def deploy(self, target: str) -> str:
 return f"Optimized & deployed to {target}"

#include <memory>
#include <vector>
#include <string>
#include <map>
class Engineer {
 const std::string name_{"Gerald Cainicela"};
 const std::vector<std::string> focus_{
 "Real-Time CV", "Edge AI",
 "Industrial IoT", "Protocol Eng."
 };
public:
 auto getStack() const noexcept {
 return std::map<std::string,
 std::vector<std::string>>{
 {"vision", {"C++20", "CUDA", "TensorRT"}},
 {"embedded", {"ESP-IDF", "FreeRTOS", "ARM"}},
 {"edge", {"Jetson", "Docker", "ONNX"}},
 {"comms", {"CAN", "J1939", "Modbus"}}
 };
 }
 template<typename T>
 [[nodiscard]] auto optimize(T&& pipeline) {
 return std::make_shared<std::decay_t<T>>(
 std::forward<T>(pipeline));
 }
};

Specialized in real-time computer vision and industrial embedded systems. I build high-performance pipelines for edge inference, industrial bus communication, and robust production deployments.

_{Lima, Peru · 2026}