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I am a results-driven Software Development Engineer (SDE), SDET, and Telecom Systems Engineer specializing in
low-latency C/C++ systems, hardware-software integration, optical transport networks (DWDM, WSON, OTN, ROADM), and AI-driven automation.
Leveraging deep expertise in Python, C/C++, Linux kernel tuning, and carrier-grade networking protocols, I engineer high-performance systems and automated validation frameworks built for zero-failure tolerances.
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Telecom provisioning cut from 4.5h ➔ 18m across DWDM meshes |
Linux kernel tuning, multithreading & hardware-software R&D |
Multi-agent test automation, 94.2% context relevance RAG |
Self-deployed algorithmic F&O execution engines & backtesting |
🎯 Recruiter Fast-Track (Click to Expand / Collapse)
| 💼 Target Roles | SDE / SDET • Low-Latency Systems Engineer • Telecom R&D Specialist • AI/ML Solutions Architect • Quant Developer |
| 🧠 Core Specializations | Low-Latency C/C++, Linux Kernel Tuning, Optical Networking (DWDM, WSON, OTN, ROADM), Autonomous AI Agents, Test Automation Frameworks |
| 🌍 Work Modes | Remote • Hybrid • Open to Worldwide High-Impact Technical Challenges & R&D Labs |
| 📬 Direct Contact | Email: codebyartdev@gmail.com • LinkedIn: Kamal Patel |
Live platforms engineered, deployed, and scaled end-to-end with verified production data
A unified architecture for carrier-grade network control, low-latency execution, and AI agent validation
┌─────────────────────────────────────────────────────────────────────────────────────────────────┐
│ KAMAL PATEL'S LOW-LATENCY SYSTEMS, TELECOM & AGENTIC VALIDATION TOPOLOGY │
└───────────────────────────────────────────────┬─────────────────────────────────────────────────┘
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┌───────────────────────────────┐ ┌───────────────────────────────┐ ┌───────────────────────────────┐
│ 1. HARDWARE & OPTICAL R&D │ │ 2. LOW-LATENCY CORE & TESTS │ │ 3. AI AGENT VALIDATION │
│ ✦ DWDM / WSON / OTN / ROADM │──▶│ ✦ C/C++ High-Performance Libs│──▶│ ✦ Multi-Agent Test Swarms │
│ ✦ OSNR Margin & Path Routing │ │ ✦ Linux Kernel Tuning (POSIX)│ │ ✦ Autonomous Bug Localization│
│ ✦ Real-Time Optical Telemetry│ │ ✦ PyTest / CI-CD Frameworks │ │ ✦ Self-Healing Test Retries │
└───────────────────────────────┘ └───────────────────────────────┘ └───────────────────────────────┘
│
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┌─────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 4. OBSERVABILITY, EVALUATION & FAULT-TOLERANCE LAYER │
│ ✦ Hardware Debugging & Protocol Validation: TCP/IP, Layer 1-3 Optical Protocol Emulation │
│ ✦ Hybrid RAG Telemetry: Vector Embeddings (Pinecone) + Deterministic Schema Validation │
│ ✦ Circuit Breakers: Zero Silent Failures, Idempotent Execution & Automated Rollbacks │
└─────────────────────────────────────────────────────────────────────────────────────────────────┘High-stakes personal engineering research, financial technology, and developer impact
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Proven technologies adopted in production vs. active R&D explorations
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🟢 ADOPT Production Core |
Python • C/C++ • PyTest • Linux Kernel Tuning • DWDM / WSON / ROADM • Docker • PostgreSQL • Jenkins • Git |
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🔵 TRIAL High-Scale Testing |
Autonomous AI Agents • Pinecone • OTN Validation • Quant Execution Bots • FastAPI • Next.js 14 • Redis Caching |
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🟣 ASSESS Active R&D & Benchmarks |
vLLM High-Throughput Serving • Kernel eBPF Probing • DeepSeek Quantization • DSPy • Zero-Knowledge Security |
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Every cycle counts. Memory is optimized, execution paths are deterministic, and hardware-software boundaries are strictly validated. |
Eliminate manual friction. Whether cutting 40% off telecom provisioning or running 10,000 automated PyTest cases in CI/CD. |
Rigorous test-driven verification, automated sanity suites on every change, circuit breakers, and idempotent failure recovery. |

