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AI Engineer & Data Analyst | Python Specialist | Legal Ops & Fintech Background I operate at the intersection of Technology, Law, and Finance, leveraging code to transform complex operations into efficient processes. Currently, I am driving the digital transformation of Legal Operations at Mosello Advocacia, merging Data Engineering, Python Automation, and Generative AI to streamline legal workflows and build robust data infrastructures. My technical track record is built on high-impact delivery: Software Engineering (SaaS): As a Software Engineer at BuscaTrade, I architected the core technology for a leading Options Trading platform, developing high-performance APIs, virtual assistants, and real-time market data processing systems. Enterprise Solutions: I have deployed full-cycle AI and Data ecosystems, ranging from risk prediction models (XGBoost/SHAP) for insurers to predictive maintenance systems for refineries and multimodal AI agents for automated customer support. With a unique background spanning 10 years in Financial Markets and a Law degree, I possess the domain expertise required to translate critical business logic into scalable technical solutions, bridging the gap between technical precision and strategic insight. Core Stack: Python, SQL, Generative AI (LLMs), N8N, Power BI, API Development & Cloud Integration. HARD AND SOFT SKILLS Python | Power BI | Excel | VBA | RPA | Alteryx | Tableau | Data Analysis | Statistics | SQL | Artificial Intelligence|Database | HTML | CSS | Bubble.io | N8N | Open AI | Automation Manager | Digital Marketing | Analytical Skills | Communication | Analytical Ability | Problem Solving | Storytelling | Critical Thinking PROJECTS AutoInvest Pro - A set of automated investment algorithms developed in Python with integration to MetaTrader5. It analyzes multiple financial assets in real-time, applying technical indicators selected by the investor to identify opportunities. Atena AI - An artificial intelligence application developed in Python and JavaScript that turns WhatsApp into a pocket tour guide. It receives images sent by users and uses image recognition to identify locations around the world, providing detailed historical information about them. Magic Portfolio Builder - An algorithm that uses multiple fundamental metrics, such as Ebit/EV and ROIC, to select companies and create a stock portfolio based on Joel Greenblatt's Magic Formula. IBOV Volatility Predictor – An algorithm that uses the GARCH model to predict the volatility of the Bovespa Index (IBOV), providing insights into market risk and dynamics. WhatsAuto Assist - An automatic chatbot via WhatsApp. It operates passively, responding to pre-configured demands and displaying an interactive menu of options, or actively, sending personalized messages to clients.

☆ Formula 1 ☆ Lancôme ☆ Adidas ☆ Hugo Boss ☆ Cirque du Soleil ☆ Cartier ☆ Hennessy ☆ Pandora ☆ Zenith ☆ Hogan Lovells ☆ Prudence ☆ Manulife ☆ Moet & Chandon ☆ Trinax ☆ 🚀 For 20+ years I've built production CV systems, real-time interactive installations, and generative AI experiences that run 24/7 in airports, malls and live global events, handling dozens of users simultaneously, in chaotic real-world conditions, where a crash is never an option. 🔥 Bridging domains most engineers can't: - Computer Vision + Generative AI + Real-Time Interactivity. Most engineers know Computer Vision. Others know Generative AI. Few have shipped both together in the same production interactive system, under live-event conditions, for global Fortune 500 brands. That's the gap I live in. 🎯 Spatial AI is the fusion of real-world interactivity with Generative AI and intelligent agents. In practice, it means I can build: - An interactive wall that tracks users and generates unique, on-brand visuals in real time, pipelines serving dynamic assets directly into Unity / Unreal at scale. - A context-aware AI character that sees you, hears you, remembers your interactions, and responds with personality, powered by RAG, MCP, and multimodal sensing. Need a ComfyUI pipeline feeding Unity visuals live? A multi-sensor agent that understands physical space? A face recognition system that works in any crowd, any lighting? That's where I thrive. ★★★★★CORE EXPERTISE★★★★★ ★ Interactive Installations & Gamified Experiences - Unity / Unreal Engine · Interactive walls (DLSS 4K+, 50+ users) · Projection mapping - Character-driven gamification · Custom hardware (Jetson, Arduino, ESP32) ★ Depth Camera & Spatial Vision - Kinect v1/v2/Azure · RealSense · Orbbec · Multi-camera sync - 3D reconstruction · Sensor fusion (LiDAR + depth + RGB + IMU) ★ Computer Vision & Deep Learning - Face recognition & anti-spoofing (iBeta Level 2 ready) - Real-time object & gesture tracking (MediaPipe, YOLO) - Custom PyTorch / TensorFlow training on GPU ★Generative AI & Synthetic Data - Stable Diffusion XL · Flux · ComfyUI · LoRA · ControlNet · Kohya - Automated synthetic dataset generation, Dockerized pipelines ★ AI Agents & Spatial Intelligence - RAG systems · MCP integration · Memory-enabled context-aware agents - Edge-deployed LLMs · Sub-100ms multimodal inference 🏆 NOTABLE ACHIEVEMENTS - Face Anti-Spoofing AI (2025): 99.6% accuracy, 1 in 67k false accepts, <100ms, iBeta Level 2 ready - Synthetic Dataset Pipeline (2025): 27K images, 99.2% F1, fully Dockerized - Formula 1 SGP: Live 3D projection mapping on a real F1 car, 4 projectors + 3 Kinects, zero failures - Lancôme AR: +20% audience engagement, real-time facial tracking at 120fps - Manulife LED Wall: 5 Kinects synced across PCs, 30+ concurrent users, 24/7 reliability - Hugo Boss, Changi Airport T1: Live multiplayer Kinect installation, high foot traffic - Adidas Interactive Wall: Motion-reactive 8K wall with Unity DLSS shaders - Cirque du Soleil AR: Real-time AR masks with instant Polaroid print and email share 🔥 TESTIMONIALS ⭐⭐⭐⭐⭐ "Fred is the best freelancer I've worked with, extremely competent and passionate. We've worked together for over 6 years!"- Joel Goh, Creative Director, Trinax Sg ⭐⭐⭐⭐⭐"World-class engineer who delivers incredible products. Excels at suggesting modifications that result in better outcomes."- Zach ⭐⭐⭐⭐⭐ "Outstanding work. Great communication. Very pleased with creative input and visual aesthetics on our VR app. Will hire again."- Michael Jenkins, Harmony Media ⭐⭐⭐⭐⭐"Fred's technical expertise is unmatched. His research-driven approach led to an outstanding result. Highly recommended!"- Iman Shirali, Elitaz 🛠️ TECH STACK - Languages: Python · C++ · C# · JavaScript · HLSL - CV / ML: PyTorch · TensorFlow · OpenCV · MediaPipe · YOLO · SAM - Generative AI: LoRA - ControlNet · ComfyUI - Kohya - Stable Diffusion · Flux - LLM & Agents: Multi-Agent Orchestration · Parallel Workers · Persistent Memory - MCP - RAG - Depth & 3D: Lidar - Kinect · RealSense · Orbbec · PCL - Engines: Unity (XR Toolkit, Shader) · Unreal Engine · Blender · Houdini - Vector DBs: ChromaDB · Pinecone · FAISS - Infrastructure: AWS · Azure · Firebase · Supabase · Docker · MLflow · W&B 🎯 IDEAL PROJECTS ✅ Production-grade interactive installations, walls, projection mapping, gamification ✅ Computer vision that works in real crowds, any lighting, any hardware ✅ Spatial AI with memory and personality, retail, museums, brand experiences ✅ Generative AI pipelines for dynamic, personalized real-time content ✅ Biometric systems, face recognition, anti-spoofing, liveness detection ✅ Multi-sensor edge deployments, events, airports, malls, retail 📫 LET'S TALK I specialize in solving problems others say can't be done. Send me your technical challenge, timeline, budget, and success metrics. I'll respond within 24 hours with a clear plan and cost breakdown. Because I think like a founder, not just a developer.

I help companies ship AI-powered products that actually work in production — computer vision pipelines, LLM integrations, and end-to-end automation systems. Recent work includes a soccer match analysis platform with automatic player tracking and tactical reporting (computer vision + custom algorithms), a CNN-based pollen identification system for agricultural monitoring, and AI automation tools for business workflows. I'm pursuing a Ph.D. in Computer Science (Bioinformatics + Machine Learning) and bring both research-grade technical depth and a product builder's instinct for shipping. I've architected systems from prototype to production across sports tech, health tech, agritech, and bioinformatics. What I deliver well: • Computer vision systems (YOLO, RT-DETR, OpenCV, PyTorch) — detection, tracking, video analytics • LLM integrations & AI automation (structured outputs, RAG, agent workflows, WhatsApp bots) • Python backends (FastAPI, PostgreSQL, Docker) with clean APIs and deployment • Technical audits & architecture for teams unsure what to build I work fast, communicate clearly, and care whether the thing actually solves the problem. Happy to start with a small-scoped task so we can see if we're a fit.

CEO and founder of Vindler Solutions. Senior AI/ML Engineer with 15+ years of experience building production systems across generative AI, machine learning, and data science. Toptal developer since 2020, currently building agentic AI on Typeform's AI team, with prior delivery for LotLinx and Wildlife Studios. At Typeform, I designed multi-agent system architecture using Amazon Bedrock and LangGraph, implementing supervisor-based orchestration with streaming inter-agent communication across specialized domain agents. I built evaluation frameworks combining deterministic validation, LLM-as-judge assessment, and API dry-run testing with MLflow integration. At LotLinx, I contributed to LotGPT, the first dealer-facing conversational AI for car dealerships. I built RAG systems integrating sales, market, and vehicle data through vector databases, and led development of an AI vehicle image enhancement system using vision models and computer vision. At Everyday AI, I developed a full-stack voice assistant using LiveKit, Next.js, and Python, delivering real-time conversational experiences for elderly care applications with sub-500ms voice latency. I also served as Data Science Manager at Trustly, where I managed the gaming and crypto portfolio serving companies like Kraken, DraftKings, and FanDuel. I led deep learning and LLM initiatives for income prediction and bank activity categorization, and delivered the company's first LLM-powered chatbot. At Wildlife Studios (4 years), I rose to Senior Staff Data Scientist and Senior Manager, supporting Sniper 3D in achieving a 20% revenue increase through experimentation, statistical modeling, and dynamic pricing. I built an AI assistant using LLMs to help business analysts perform analysis in Looker. Core expertise: LangChain, LangGraph, RAG systems, multi-agent architectures, voice AI (LiveKit, Deepgram, Cartesia), Python, AWS (Lambda, Bedrock, SageMaker), OpenAI/Claude APIs, vector databases (Pinecone, Weaviate, Chroma), deep learning (PyTorch), and MLOps. Education: MIT Sloan Executive Education (Leading the AI-Driven Organization, 2026), plus a Master's and Bachelor's in Applied Mathematics from Universidade de Sao Paulo (USP).

Software Engineer with a strong background in designing, developing, and leading enterprise software solutions. Passionate about building scalable, resilient, and high-performance systems while applying modern software engineering practices and clean architecture principles. My expertise spans backend development with Java and Spring Boot, distributed systems, microservices, REST APIs, event-driven architectures, and cloud-native applications. I have experience designing solutions that prioritize scalability, maintainability, observability, and business value. Throughout my career, I have worked across the entire software development lifecycle, from requirements analysis and system design to implementation, deployment, monitoring, and continuous improvement. As a technical leader, I enjoy mentoring developers, promoting engineering excellence, and fostering collaborative environments where teams can deliver high-quality software efficiently. I believe that technology should solve real business problems, and I focus on building solutions that are both technically robust and aligned with organizational goals. I am particularly interested in Software Architecture, AI Platform Engineering, Cloud Computing, Platform Engineering, DevOps, and Distributed Systems. I continuously invest in learning emerging technologies and industry best practices to create innovative and future-ready solutions. My technical stack includes Java, Spring Boot, Spring Cloud, Kafka, Docker, Kubernetes, SQL and NoSQL databases, CI/CD, Git, cloud platforms (AWS, Azure, and GCP), observability, and Agile methodologies. I hold professional certifications in Java and Spring, demonstrating my commitment to continuous learning and technical excellence. I am always open to connecting with professionals who are passionate about software engineering, architecture, cloud technologies, artificial intelligence, and platform engineering.

I help companies design, build, and scale production-ready AI systems — LLM applications, RAG platforms, AI agents, NLP pipelines, machine learning models, workflow automations, and full-stack AI products. I’m an Expert-Vetted Upwork freelancer, ranked in the Top 1% of talent on the platform, with 12+ years of experience across AI, Data Science, Machine Learning, GenAI, NLP, MLOps, automation, and product engineering. On Upwork, I’ve delivered $400K+ in client work, 60+ jobs, and 8,600+ hours for startups, enterprises, and global clients. My strongest fit is with teams that need more than a prototype. I help clients move from idea to architecture, from architecture to implementation, and from implementation to reliable AI products that can be used in real business workflows. What I can help you build • LLM-powered applications, copilots, and AI assistants • Retrieval-Augmented Generation, or RAG systems • AI agents for research, automation, decision support, and internal operations • Chatbots connected to private company data, documents, and knowledge bases • NLP pipelines for classification, summarization, extraction, matching, and search • Semantic search and embedding-based recommendation systems • Fine-tuning, model evaluation, prompt engineering, and LLM workflow optimization • Machine learning models for prediction, forecasting, clustering, ranking, and anomaly detection • AI automations using Python, APIs, databases, cloud tools, vector databases, and orchestration layers • Technical architecture for AI SaaS products, internal tools, and AI operating systems Why clients work with me I combine senior AI leadership with hands-on technical execution. I can speak with executives about business value, work with product teams on scope and roadmap, and collaborate with engineers on architecture, implementation, deployment, and long-term maintainability. My background includes enterprise AI and Data Science work for companies such as HEINEKEN, Korn Ferry, and SKF, plus 60+ consulting projects across multiple industries and countries. I’ve led Data Science and AI initiatives, built production ML systems, designed GenAI and RAG solutions, and worked across both strategic AI adoption and hands-on engineering. I’m also a founder and full-stack product builder. As the founder, CEO, CTO, and solo developer of Vivai, I built a marketplace platform end to end, including mobile app, backend APIs, PostgreSQL database architecture, search, payments, authentication, partner workflows, cloud deployment, and production operations. Example projects I can support • Build a custom AI assistant over your company documents • Create a RAG system with retrieval quality, evaluation, monitoring, and guardrails • Automate business workflows using LLMs, APIs, scheduled jobs, and human-in-the-loop review • Improve an existing AI product for accuracy, reliability, speed, and cost • Develop NLP classification, extraction, summarization, or semantic search systems • Design the architecture for an AI SaaS product or internal AI platform • Turn a rough AI prototype into a stable, maintainable production system I’m a good fit if you need someone who can understand the business problem, recommend the right AI architecture, and build a practical solution with clean, maintainable implementation. If your goal is to build real AI products — not just demos — I can help you get there.