💼 AI Developer | OpenAI developer | AI developer Zapier | Python data engineer for real-time data pipeline | AI developer LangChain 🏆 TOP RATED PLUS | 💰 $5M+ Client Revenue | 💼 111+ Projects Delivered | ✅ 11,000+ Upwork Hours 💡 Clients Achieved: 🚀 Faster delivery – AI systems cut weeks of manual work 💰 Revenue growth & efficiency – automated workflows and AI agents increased ROI ⏱️ Time savings – streamlined operations, reduced human effort ✅ Reliable, production-ready AI – systems deployed safely and scaled in real-world environments 📊 Data-driven insights – AI-powered analytics, RAG pipelines, and persona simulations improved decision-making I am an AI Developer and OpenAI developer specializing in designing and deploying production-ready AI systems that combine advanced machine learning models with scalable backend engineering. As an AI developer LangChain specialist and AI developer Zapier expert, I help businesses turn complex AI concepts into reliable real-world solutions. I also work as a python data engineer for real-time data pipeline development, building streaming, event-driven, and analytics systems for AI-powered applications. ⚡🤖 AI Agents & Autonomous Systems 🤖 As an AI Developer and AI developer LangChain engineer, I create intelligent agents capable of reasoning, planning, memory retention, and multi-step workflows. These systems integrate OpenAI developer APIs and AI developer Zapier automation layers for real business execution and reliability. Voice AI & Communication Platforms 🎙️ I develop low-latency real-time AI voice systems using Twilio and STT → LLM → TTS pipelines, built as an AI developer and OpenAI developer for scalable conversational AI with backend-controlled logic, interruption handling, and production deployment. RAG Pipelines & Data Intelligence 📚 As an AI developer LangChain specialist and OpenAI developer, I implement Retrieval-Augmented Generation pipelines for fast, accurate, and auditable access to internal data. This includes embeddings, metadata pipelines, vector databases (Pinecone, Qdrant, Weaviate), and python data engineer for real-time data pipeline architectures. Backend Engineering & Cloud Deployment ☁️ I build robust Python/TypeScript backend systems with FastAPI, Django, and Node.js, acting as both AI developer and python data engineer for real-time data pipeline solutions. I deploy scalable systems on AWS, GCP, and Azure using Docker, Kubernetes, monitoring, and autoscaling. 🚀 Selected Projects Monitoring & Summarization Tool ⚖️ – Automated regulatory updates, cutting manual review time and delivering clear summaries. Built by an AI Developer to make compliance faster and smarter. I Persona Simulation 👥 – Transformed Reddit discussions into interactive synthetic personas for marketing insights. Engaging AI experiences designed by an AI Developer. Centefuse AI – Content Generation ✍️ – MVP platform for automated social media content and scheduling. High-quality output with minimal client effort, engineered by an AI Developer. Waste Classification App ♻️ – Mobile AI solution for classifying and estimating waste quantities. Flexible, hardware-free, and efficient – crafted by an AI Developer. AI Script Generator 🎬 – Generative AI for screenwriters to structure stories and draft scripts quickly. Accelerates ideation while preserving creativity, built by an AI Developer. Client Testimonials ⭐⭐⭐⭐⭐ “Great work, very professional. Good at gathering input. Talented variety of staff.” – AI Chat, Recorded Calls, Coaching AI Platform ⭐⭐⭐⭐⭐ “Very professional and technically capable. He was able to work within my budget and deliver a top notch product.” – Marketplace Development II ⭐⭐⭐⭐⭐ “Outstanding work during the discovery phase. The team was prepared, communicated clearly, and proposed elegant, efficient solutions that exceeded our expectations.” – AI-powered Treatment Writer Why Clients Work With Me 💼 Delivery of clean, maintainable, production-ready AI solutions Expertise bridging AI models and backend engineering as an AI Developer Predictable results with scalable architectures Clear communication and collaborative approach

📈 I'm an AI business transformation engineer with a strong passion for mathematical models and artificial intelligence that drive business success. Building upon a solid foundation in Python and classic machine learning, I specialize in designing and implementing AI solutions that align with your business objectives. 🧠 Business-centric AI solutions with low-code prototyping My expertise lies in deploying and integrating Large Language Models (LLMs) into business workflows. Recognizing that each business has unique needs, I adeptly customize AI solutions to meet specific requirements. Utilizing low-code platforms like n8n and Langflow, I rapidly prototype AI pipelines, enabling quick iterations and seamless integration into existing systems. For more complex scenarios and product-quality solutions, I leverage Python frameworks such as LangGraph to build stateful, multi-agent LLM applications, ensuring robust and scalable AI solutions. 🤝 Collaborative approach to AI integration I believe in a collaborative approach, working closely with clients and their teams to understand challenges and goals. This ensures that the AI solutions developed are aligned with your vision and provide tangible benefits. Clear communication and transparency are paramount throughout the project lifecycle, keeping you informed and engaged at every step. 🌟 Proven track record of delivering tailored AI solutions Clients consistently commend my technical expertise, professionalism, and ability to deliver efficient, high-quality solutions tailored to their needs. From flawless automation development and AI consultation to advanced script adjustments and LLM integrations, I have a proven track record of exceeding expectations. Whether it's enhancing e-commerce operations, building intelligent systems, or streamlining workflows, I am proud to be a trusted partner in driving success. ⚙️ Technologies and tools: Programming: Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow), JavaScript (Google Apps Script) Large Language Models: LangChain, LangGraph, OpenAI, Claude, Gemini, Hugging Face Transformers Low-Code Platforms: n8n, Langflow, Make Frameworks: FastAPI, Flask Data Handling: PostgreSQL, Supabase, Elasticsearch Cloud Services: AWS, Azure, GCP, VPS Deployment & MLOps: Docker, Kubernetes, MLflow Data Visualization: Matplotlib, Seaborn, Tableau, Grafana 🚀 Collaborate to transform your business with AI Whether you're just beginning to explore the possibilities of AI or looking to enhance existing systems, I'm here to support you every step of the way. Let's discuss how we can leverage AI to transform your business processes and unlock new opportunities for growth and innovation.

// Full Stack AI integration solutions agentic ai: Autonomous engineered agents and platforms designed for specific roles and tasks ai chat: custom design ai chat interfaces cloud apps: complete frontend and backend end solutions websites: django, react, real-time interfaces, custom AI chat-bots built on existing knowledge bases data: database management, data storage, cleaning // Additional expertise: Stock markets, algorithmic, machine learning, and AI trading. Brokerages IBKR Alpaca Schwab TastyTrade Quant & Machine Learning QuantConnect/LEAN XGBoost TensorFlow scikit-learn Backtrader Zipline Infrastructure Google GCP AWS Oracle, Aiven Northflank Railyway Heroku Cloud Postgres MySQL Graph Languages Python SQL Pinescript thinkscript JavaScript, React

⭐⭐⭐⭐⭐🎖️ UPWORK TOP RATED FREELANCER | 🧑‍💻 4+ years of professional experience in Data Science and Machine Learning. I have successfully completed several projects My clients value my attention to detail, technical expertise, and dedication to their success. In my 4 years of experience as a data scientist I've undertaken a multitude of projects including creation of machine learning models, utilization of clustering methodologies, implementation of image recognition systems, conducting text classification from CSV data, delving into time-series forecasting, and addressing tasks such as classification, prediction, and detection. ⭐️ My Areas of Expertise: ⭐️ ✔️ Machine Learning 🤖 ✔️ Deep Learning 🧠 ✔️ Exploratory Data Analysis (EDA) 📊 ✔️ Data Visualization 🎨 ✔️ Cleaning 🧳 ✔️ Technical Writing ✍️ ✔️ Report Writing 📝 ✔️ Academic Research 📚 ✔️ Academic Writing 🖋️ ✔️ Research Paper Preparation 📖 ✔️ LaTeX Formatting 🖤 ⭐️ Projects I Have Worked On: ⭐️ ✔️ Academic Research in Data Science 📚🔬 ✔️ Credit card deetcion Using Machine Learning 💳 ✔️ Time Series Forecasting for Stock Prices 💹 ✔️ Milk Yield Prediction Using Machine Learning 🥛📈 ✔️ Skin Disease Classification Using Deep Learning 🧑‍⚕️🖼️ ✔️ Breast Cancer Prediction Models 🎗️🔬 ✔️ Cervical Cancer Risk Prediction 🩺📊 ✔️ Review Writing for Academic Research 📝📚 ✔️ Formatting Research Papers with LaTeX 🖤📖 ⭐️Why you should choose me over other freelancers⭐️ ✅ I am top rated on upwork and i take my time to deliver the best you want. ✅Client Reviews: I have focus on providing value to my clients and earning their TRUST. ✅I have a combination of both academic knowledge and practical experience in data science and data analysis ✅Responses: One of my top priorities is keeping my clients happy by being super responsive and maintaining open lines of communication. ✅Resilience: I take great pride in my resilience and my ability to find solutions to any challenges that my clients may face.you can as well reach out to my previous clients and asking them. ✅Kindness: When it comes to working with my clients, kindness is a fundamental value that I hold close to my heart. I believe in treating every client with the utmost respect, understanding their unique situations with empathy, and genuinely caring about improving their circumstances.

I am an expert Prompt engineer/Langchain Developer for both GPT4 and Gemini AI Language Models, have free access to a document Q&A tool in my profile. I have expertise in designing END to END solutions (visualizations, machine learning models, AI automation, web applications, etc.) for a variety of complicated/ambiguous tasks both in the workforce as a researcher and consultant. My main area of expertise are with large language models, computer vision, financial models and time series data. Services: -Generative AI backend solutions in Python including Langchain, Autogen, Crewai, Haystack, MCP and Agentic workflows ($100/hour) - Machine Learning, Deep Learning, Analytics, Visualizations: in Python, R, Tableau ($80+/hour) - Cloud Solutions for analytics, time series analyses, automation: AWS technologies including (SageMaker, Lambda, Redshift, etc.) + GCP (kubernetes, BigQuery, CloudRun) (Depends on task, consults will be charged $50/hr, ETL pipelines and END-to-END solutions billed on size of project) - Web Applications: Python Streamlit, R Shiny or dotNET deployment ($50/hr) - Automation Consultation: ($50/hr) - Homework Help: Coding projects in R, Python or Matlab ($50 per assignment hours, ie. A final project would be 5+ assignment hours, etc.)

I build AI systems that watch your data, spot patterns humans miss, and take action automatically — so your operations run 24/7 without babysitting. I'm not just a coder for hire: I founded and scaled Valor.ai, an autonomous decision platform that grew to 30,000+ registered users and 6,000+ paying customers, and ran profitably for 2 years. One person handles the whole stack — AI/ML, Python backends (Django, FastAPI), APIs, deployment, and dashboards. Top Rated with a 100% Job Success Score and 6+ years of experience. What I do for clients: I walk into your problem, build a system that solves it, and hand you something that runs itself and saves you time or money. Clients report 25-30% operational cost savings through optimized architectures and intelligent automation. ✅ WHY CLIENTS CHOOSE ME • I've built it for myself — Valor.ai is founder-level proof, not just client code • I make AI produce real results — production systems with real users, not notebook demos • I handle the whole thing — AI, backend, APIs, database, deployment, dashboards. One person, one solution. • Top Rated | 100% Job Success Score | 50+ projects delivered across platforms • Microsoft Certified AI Engineer | Avg. response time under 4 hours ✅ BACKEND & API DEVELOPMENT • Django REST Framework, FastAPI, Flask full-stack development • Scalable REST & GraphQL APIs with authentication (JWT, OAuth2) • PostgreSQL, MySQL design and optimization; Redis caching, Celery task queues • Docker, CI/CD pipelines (GitHub Actions), AWS (EC2, S3) and Azure deployment • WebSockets and Async I/O for real-time applications ✅ MACHINE LEARNING & AI • Custom ML models: TensorFlow, PyTorch, Scikit-learn, XGBoost • Deep Learning, time series forecasting, and predictive analytics • NLP (transformers, sentiment analysis) and Computer Vision (OpenCV) • LLM integration (OpenAI API, LangChain, RAG) and model deployment via FastAPI/Flask ✅ AUTOMATION & REAL-TIME SYSTEMS • Systems that make automated decisions 24/7 under real-world pressure • Web scraping, ETL pipelines, and data-processing automation • Bot development (Telegram, Discord, web automation) and live dashboards • Proof point: production trading systems on Binance/Bybit with backtesting, walk-forward validation, and risk controls (the same real-time, high-stakes engineering applies to finance, e-commerce, logistics, and healthcare) 📋 MY PROCESS 1. Free 30-minute consultation to understand your goals and requirements 2. Detailed proposal with architecture, tech stack, and milestone breakdown 3. Regular demos with working code and full transparency 4. Complete documentation and knowledge transfer at completion 5. Post-launch support and optimization 💡 READY TO START? Share your problem, timeline, and budget in your first message. I'll respond within a few hours with a technical approach and a tailored proposal. Let's turn your idea into a system that runs itself and pays for itself.

• Professional with keen interest in artificial intelligence, data science, machine learning, and AI-driven solutions. • Bachelor’s degree in Mechanical and Automotive Engineering; Master's degree in Mechanical Engineering; Certificate in Data Science. • Skilled in Python, SQL, MS Office Suite (Excel, Word, PowerPoint), MS Project, Spark, SolidWorks, MATLAB, Fluent and Star-CCM+. • Professional communication skills include native level of Brazilian Portuguese and advanced level of French.

I've spent 5+ years building ML / AI systems that work in production, not just in notebooks. If you need a RAG pipeline that actually retrieves the right answers, an LLM integration that handles edge cases gracefully, or an AI agent that automates real workflows, that is exactly what I do every day at scale. Results from recent work: • Built LLM-based automation for one of the largest airlines in LATAM using LangChain and FastAPI, reducing human-hours on repetitive processes by ~40% • Developed a GenAI platform at a company serving millions of daily users (Rappi), including LLM fine-tuning that improved first response time by ~20% • Designed RAG systems with PGVector and ChromaDB for internal knowledge retrieval across enterprise teams • Implemented AI Automation workflows using platforms like n8n. • Deployed production microservices with FastAPI and Docker on GCP and AWS • 100% Job Success Score on Upwork. Every client rated 5 stars. What clients hire me for: • RAG systems and knowledge bases (document ingestion, hybrid retrieval, reranking) • LLM integration and fine-tuning (OpenAI, open-source models, domain-specific training) • AI agents and workflow automation (LangChain, LangGraph, tool-use pipelines) • Production ML microservices (FastAPI, Docker, cloud deployment) • AI strategy and architecture consulting Technical stack: • LLM/GenAI: LangChain, LangSmith, LangGraph, RAG, Prompt Engineering, Fine-tuning • ML/NLP: PyTorch, scikit-learn, sentence-transformers, embeddings, vector databases • Backend: Python, FastAPI, PostgreSQL, PGVector, Docker • Cloud/MLOps: GCP (VertexAI, Storage), AWS (S3), Apache Airflow • Data: SQL, Pandas, NumPy, Snowflake, BigQuery I work at a global consultancy (Thoughtworks), building AI solutions for enterprise clients during the day, and take on select freelance projects that align with my expertise. I bring the same production standards, documentation, and communication quality to every engagement. Published researcher (Springer, 2025). Two engineering degrees, including a B.Eng in Artificial Intelligence. Astronomer-certified in Apache Airflow. If your project involves LLMs, RAG, or production AI, send me a message with the details. I respond within a few hours and can usually scope a first milestone within 24 hours.

I'm a ML engineer with year's of experience working in Agentic AI, HIPAA AI, and AI SaaS products. Our AI agency builds production AI agents — on mobile, on-prem, in the cloud, and in austere environments. As an AWS-Certified, Expert-Vetted ML engineering team, we go beyond delivery: we deploy, monitor, and operate AI systems that actually hold up under real-world conditions. Whether you need a single agent deployed in a week or a full AI/ML product built from the ground up, we match the engagement to your goals. ⚡️ What We Build ▶︎ OpenClaw AI Agent Deployment & Managed Operations The fastest path to a production-ready AI agent for your business — security-hardened, memory-enabled, and built for real operations, not demos. - Dedicated hardware or cloud deployment (Docker, Tailscale VPN, egress filtering) - Custom agent personality engineering — reasoning partners, not yes-machines - Persistent cross-session memory and long-term knowledge retention - Multi-agent systems with isolated credentials, memory, and access scopes - OWASP 2026 agentic security compliance: audit trails, kill switches, rate limiting, prompt injection defense - Ongoing managed operations — we run agents in production for our own business, so we deploy what we trust ▶︎ Custom AI & LLM Development - LLM Fine-Tuning using LoRA, QLoRA, and full parameter fine-tuning - Retrieval-Augmented Generation (RAG) with custom embeddings - AI agent orchestration (LangChain, AutoGen, CrewAI) - Causal AI and inference modeling for strategic business decisions - Sentiment analysis, NER, topic modeling, time-series forecasting ▶︎ ML Systems & Data Engineering - End-to-end ML pipelines on AWS SageMaker, GCP Vertex AI - Fraud detection, recommendation engines, churn prediction - Intelligent document processing (LlamaParse, LlamaIndex, OCR) - Scalable ETL/ELT and event-driven data architectures - MLOps with monitoring, explainability, and CI/CD built in ▶︎ Deep Learning & Computer Vision - TensorFlow, PyTorch, Keras — CNNs, RNNs, Transformers - Object detection (YOLO, OpenCV), image classification - Real-time inference APIs and computer vision pipelines ▶︎ Regulated Industry AI (HIPAA & FedRAMP-Aligned) HIPAA-compliant AI agent deployments with audit trails, access controls, and PHI-aware data handling FedRAMP-aligned cloud architecture (AWS GovCloud, Azure Government) CJIS-compatible data pipelines and secure LLM integrations Security-hardened deployments: egress filtering, isolated credentials, kill switches, prompt injection defense Healthcare AI: EHR/EMR integrations, clinical NLP, patient data pipelines 🛠️ How We Work ▶︎ Discovery & Requirements — Align on goals, constraints, and architecture before writing a line of code. ▶︎ Design & Planning — Technical blueprints and phased milestones, so you always know what's coming next. ▶︎ Agile Sprints — Regular feedback loops, transparent progress, no surprises. ▶︎ Weekly Syncs — Structured check-ins with clear next steps every time. ▶︎ Validated Deliverables — Every milestone ships with acceptance criteria and production-ready assets. 🤝 Who We Work With We're the right team if you're: - A startup or mid-size company ready to put AI agents to work in your business - A technical team that needs senior ML/AI firepower to close a capability gap - An operator who wants AI running reliably in production — not a prototype sitting on a shelf You're not hiring a freelancer. You're gaining a certified AI engineering partner who owns delivery from first conversation to production operation. 📅 Book a consultation — let's scope your agent deployment or AI build-out today.

I build LLM data pipelines, forecasting models, and production APIs for founders and small teams. From one-time analysis to product-grade systems. I co-founded a market-data startup, where I built an NLP pipeline that labels 1.5M+ news articles and shipped a production API. My research on LLM rerankers was accepted at SIGIR 2026, a leading conference for search and ranking systems. I also maintain open-source LLM tools, including a LangGraph agent CLI on PyPI and a local RAG tool with page-cited answers. I have a strong track record in: • LLM data pipelines: classification, labeling, sentiment scoring, and extraction • Production ML systems and APIs (FastAPI, Docker, AWS, Google Cloud, BigQuery) • Forecasting models for sales optimization and budget planning • Dashboards and decision tools • CRM data analysis (HubSpot, Zoho) • RAG systems and LLM agents (LangGraph), with testing and evaluation Founders and team leads typically work with me to: • Replace manual labeling, tagging, or reporting work with automated LLM pipelines • Add an AI feature to an existing product and make it reliable enough to ship • Build forecasting models on transaction, sales, or CRM data • Extract insights from complex data such as transactions, call records, and multi-source attributions • Turn an LLM prototype into a tested, deployed system I have 3+ years of freelance experience and 5+ years of hands-on data science and analytics. I've worked directly with founders and small teams, and delivered 40+ projects with a 100% success rate. I hold a Master's in Computer Science and a bachelor's degree in business, and I conduct applied research in machine learning for finance and NLP. What previous clients say: "Baris will always be the #1 choice in his category. Great guy. 10/10." "One of the best freelancers I've worked with. He understood quickly what I was trying to build." For larger projects, my usual structure is a short paid discovery to map the problem and the data, then a fixed-price build with clear milestones, so the budget is known before the work starts. Ongoing support is optional after that. If you have an LLM or data problem that needs to work reliably in production, feel free to send a message. I'll be happy to take a look.