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Telecommunications Engineer | MATLAB, Python, FPGA, VHDL/Verilog | Signal Processing, AI & Embedded Systems Expert I help clients turn complex hardware and signal processing problems into working, reliable systems — from FPGA logic and embedded firmware to AI-powered data pipelines and custom GUIs. With a strong 15+ years background in Telecommunications Engineering, I combine deep theoretical knowledge with hands-on development across hardware, firmware, and software. Whether you need a signal processing algorithm designed from scratch, an embedded Linux system customized for your device, or a GUI built to control your hardware, I deliver clean, well-documented, production-ready work. Core Expertise: 1) MATLAB & Python Programming (algorithm design, simulation, data analysis) 2) Signal Processing: filter design, spectral analysis, compressive sensing, sparse coding 3) FPGA & Digital Design (VHDL, Verilog) 4) Embedded Systems Design & Programming, Yocto Linux customization/BSP 5) EEG & Bio-Signal Processing 6) 5G / Beyond-5G Communication Systems 7) Artificial Intelligence & Machine Learning (including Reinforcement Learning) 8) GUI Development: PyQt5, .NET C# 9) PCB & Electrical Board Design: Altium Designer, KiCad 10) IoT & Embedded System Integration I work across the full stack of a project: algorithm/theory → simulation → hardware implementation → software interface — so you can hire one engineer instead of coordinating three. I care about clear communication, realistic timelines, and code/hardware that's maintainable long after the project ends. If your project involves signal processing, embedded systems, FPGA logic, or AI, let's talk about how I can help you build it right.

🧑‍💻 About Me Senior Python/Django engineer with 20+ years and $600K+ on Upwork. Currently shipping on-prem LLM integration at Airbus Defence (VS-NfD cleared) and AI safety proxy code at Luthien Research. I build AI systems with guardrails — not just features. My approach combines deep backend engineering (Django, FastAPI, Kubernetes) with practical AI safety: tool-call interception, policy enforcement, on-premises deployment, and human oversight controls. The same rigor required in safety-critical aerospace work, applied to AI integration. What that looks like in practice: - Airbus Defence (current): on-prem LLM gateway integration for code review and IDE assistance. Zero external data transmission. VS-NfD security clearance. - Luthien Research (current): contributing to a FastAPI OpenAI-compatible proxy that intercepts and enforces safety policies on AI agent tool calls before execution. Shipped PRs on streaming disconnect handling, error sanitization, sensitive header filtering. - Agent Zero (open source): guard system blocking dangerous tool calls; async event loop crash fix. Live AI safety controls, not theory. - BestEx Research: reduced transaction cost report 🛠 Core Technical Competencies Full-Stack Development - Backend: Python (Django, Flask, FastAPI), RESTful APIs, GraphQL, OpenAPI - Frontend: React, Angular, Next.js, HTMX, Modern JavaScript (ES6+) - Real-time Systems: WebSocket integration, Pusher, live data streaming - Mobile-First: Responsive design, progressive web apps AI & Machine Learning - LLM Integration (Claude, GPT, Custom Models) - Vector Databases & RAG Architectures - TensorFlow, Prompt Engineering, AI-powered Features - AI Ethics & Responsible Deployment - Certified: AI in Aerospace & Defence (Airbus, Nov 2025) DevOps & Infrastructure - Kubernetes (Multi-AZ, High-Availability) - Docker, FluxCD, ArgoCD - CI/CD Pipelines (Jenkins, GitLab CI, GitHub Actions) - Infrastructure as Code (Terraform, Ansible) Data & Databases - PostgreSQL, Vector DBs, Elasticsearch, Redis, MariaDB - ETL Pipelines, Big Data Processing - Prometheus, Grafana, OpenTelemetry Security & Quality - VS-NfD Security Clearance (German Defense) - Safety-Critical Systems Development - GDPR/Data Protection Implementation - Comprehensive Test Coverage (Pytest, Playwright) 🌟 Why Choose Me? 🚀 Full-Stack Expertise with Enterprise-Grade Quality I build complete solutions from database to frontend, with the same rigor and attention to detail required in safety-critical systems. My recent work in aerospace defense reinforces practices that ensure your application is reliable, auditable, and secure—not just "working." When you need code that scales and endures, you need someone who builds for production from day one. 🤖 Practical AI Implementation, Not Just Theory I've been integrating AI into production systems since before it was trendy. From TensorFlow classifiers processing satellite imagery for property valuation to LLM-powered SEO platforms, I focus on AI that delivers measurable business value—not proof-of-concepts that never ship. My recent AI certification reinforces responsible AI deployment in high-stakes environments. 🌍 Global Experience, Local Execution Having worked across Italy, Switzerland, Australia, Rwanda, UK, USA, and Germany, I understand how to navigate different business cultures, regulatory environments, and technical ecosystems. This international perspective helps me design solutions that work globally while meeting local compliance requirements. ⚖️ Unique Interdisciplinary Edge My Doctorate in Law (specialized in software patentability) provides a perspective most engineers lack: understanding the legal, ethical, and IP implications of technical decisions. This is particularly valuable for AI projects, data privacy implementations, and systems handling sensitive information. 💼 Technical Leadership & Agile Delivery I don't just write code—I architect systems, lead technical teams, manage agile workflows, and deliver end-to-end solutions. Whether you need someone to build from scratch, rescue a troubled project, or optimize existing infrastructure, I've done it successfully dozens of times across diverse industries. 📊 Proven Track Record of Dramatic Improvements - Reduced transaction cost report generation from 30 minutes to 30 seconds (BestEx Research) - Achieved 99.99% uptime for multi-AZ Kubernetes infrastructure (EISST International) - Built comprehensive test coverage from scratch for previously untested codebases (SEO Co-Pilot AI) - Transformed legacy R code into modern Python, achieving 70% reduction in processing time 🎯 What I Deliver Full-Stack Applications - Django/Flask backends with modern React/Next.js frontends - API-first architecture (REST, GraphQL) - Real-time features and WebSocket integration - Mobile-responsive, accessibility-compliant UIs AI-Powered Solutions - LLM integration for chatbots, content generation, analysis - Vector database implementat

High-Performance Technical UI Developer & Unity Specialist I bridge the gap between artistic vision and technical implementation. With 5+ years of experience in the game industry, I specialize in creating optimized, responsive, and player-centric UI systems using Unity and C#. What I bring to your project: Technical UI Mastery: Expert in uGUI, Canvas optimization (reducing Rebuilds/Draw Calls), and responsive layouts for Mobile (iOS/Android) and WebGL. Engineering Excellence: Advanced C# logic for UI systems, including modular architectures, Event-driven menus, and seamless IPointer interactions. Design-to-Code Pipeline: Proficient in Figma and Adobe Creative Suite, ensuring pixel-perfect translation from design to functional, ready-to-use Unity prefabs. Proven Track Record: Author of professional tools on the Unity Asset Store and contributor to 5+ successfully launched mobile titles. My Goal: To deliver UI that isn't just a pretty picture, but a high-performance, scalable system that enhances your game's UX without draining the device's battery. Let’s build something visually stunning and technically superior together!

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation