Overview: As a senior software engineer with extensive experience in developing complex backend code and working with data, I bring a strong skill set to deliver high-quality solutions. I have successfully completed multiple projects on Upwork, including API integrations, data extraction, database management, and automation scripts. I have a proven track record of delivering efficient, secure, and scalable solutions. Key Skills: Python Programming: Proficient in developing robust and efficient code using Python. API Integration: Extensive experience in integrating various APIs, including Facebook Ads, Impact Radius, Klaviyo, GoHighLevel, and more. Backend Development: Skilled in building scalable backend systems and implementing RESTful services. Data Engineering & Analysis: Strong background in data extraction, transformation, and loading (ETL), along with database management and data visualization. Services I Offer: API Integration: Seamlessly connect different platforms and services through well-designed APIs. Data Extraction & Storage: Extract data from various sources, store it efficiently in databases, and design schemas for optimal performance. Automation Scripts: Develop scripts and integrations to automate repetitive tasks and streamline workflows. Backend Development: Build robust backend systems, implement RESTful services, and ensure secure data handling. Data Engineering & Analysis: Perform data extraction, transformation, and loading processes, create data pipelines, and provide actionable insights. If you are looking for a reliable, skilled, and detail-oriented software engineer and data expert, I am confident that I can deliver top-notch solutions tailored to your specific needs. Let's discuss your project requirements and take your business to new heights.

📝 BIO / OVERVIEW I build AI that works for you, autonomously. And I build it on a foundation of rigorous data science. I'm a Top-Rated AI/ML Engineer specializing in agentic AI systems, autonomous agents that plan, reason, use tools, and act without constant human input. With 6+ years of professional experience, MIT and IBM certifications, a Distinction in ML from the University of London, and a Letter of Commendation from the London School of Economics for scoring among the highest marks in the world in Data Science and Business Analytics, I sit at the intersection of two disciplines that are rarely combined well: agentic AI engineering and data science. Most agent builders don't think statistically. Most data scientists don't build agents. I do both, and that's what makes the systems I deliver more reliable, better scoped, and genuinely production ready. 🔧 What I Build Autonomous AI Agents Multi-agent pipelines using LangChain, LangGraph, CrewAI, and AutoGen. Agents with memory, planning, tool use, and reflection loops that actually run in production, not just demos. RAG & Knowledge Systems End-to-end Retrieval-Augmented Generation pipelines with vector databases (Pinecone, Weaviate, FAISS, ChromaDB), smart chunking, hybrid search, and re-ranking. Your LLM, grounded in your data. AI Workflow Automation Intelligent automations connecting LLMs to your business stack via n8n, Zapier AI, and Make. Lead enrichment, document processing, auto-reporting: AI wired into your existing tools. LLM Fine-Tuning & Deployment Domain-specific fine-tuning using LoRA, QLoRA, and PEFT on Hugging Face. Model evaluation, benchmarking, and scalable deployment on AWS, Azure, and GCP. Data Science & Predictive Analytics The foundation under everything I build. EDA, feature engineering, predictive modeling, statistical analysis, A/B testing, and BI dashboards. I work across industries to surface decisions, not just charts. 🎯 Why Clients Choose Me Systems thinker: I architect the full pipeline across data, retrieval, orchestration, and deployment. Not just a notebook. Data-grounded agents: My DS background means the agents I build are statistically sound, not just prompt-engineered. Production-grade delivery: Clean, documented, deployable code with real performance metrics. Top-Rated on Upwork with 6+ years of real-world AI/ML delivery across industries. MIT & IBM certified. Distinctions in Machine Learning, University of London. Letter of Commendation from the London School of Economics for ranking among the highest marks worldwide in Data Science and Business Analytics. 🛠️ SKILLS AI Agents & Orchestration LangChain, LangGraph, CrewAI, AutoGen, OpenAI Assistants API, Semantic Kernel, Agent Memory & Tool Use RAG & Vector Systems Pinecone, Weaviate, FAISS, ChromaDB, LlamaIndex, Hybrid Search, Re-Ranking, Document Chunking LLM Fine-Tuning & Generative AI LoRA / QLoRA, Hugging Face Transformers, PEFT, RLHF, GPT-4o, Claude, Gemini, Mistral, Llama, Prompt Engineering AI Workflow Automation n8n, Zapier AI, Make (Integromat), API Integrations, Event-Driven Pipelines Data Science & ML Python, Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, Pandas, NumPy, Statistical Modeling, A/B Testing, SPSS Data Visualization & BI Tableau, Power BI, Matplotlib, Seaborn, ggplot2 Cloud & Infrastructure AWS, Azure ML, GCP Vertex AI, SageMaker, Snowflake, Docker, FastAPI, PostgreSQL, MongoDB, Apache Spark 💬 CLIENT TESTIMONIALS "Collaborating with Zainab was outstanding. Her deep knowledge and expertise in Machine Learning algorithms, statistics, and Python programming impressed me." "Zainab was an invaluable asset to my research project, offering a wealth of insights within the realms of AI model sensitivity and model assurance. Her contributions greatly enhanced my understanding." "Zainab is a high quality and committed professional. I highly recommend her." 📩 Message me to discuss your project. I offer a free 30-minute scoping call to map out the right architecture for your use case.

MSc. Data Science (Distinction), BSc. Chemical Engineering (Honours), former New Methods Data Scientist @ NIQ with 9+ years of well-established professional and academic track record. I specialize in machine learning research & model deployment, functional programming, statistical and mathematical computation, and business consulting. I'm highly technical and extremely rigorous while maintaining a personable touch through every client interaction, and have a proven track record in the petrochemical, market research, and consulting sectors. I selectively partner with clients, prioritizing high-profile projects that align with my expertise and pristine standards. ■ SOCIALS ───────────────────── ◉ LinkedIn: /in/pablo-aguirre-nunez ◉ GitHub: github.com/pabloagn ◉ Technical Blog: pabloagn.com ■ METHOD ───────────────────── ◉ I only deliver top-quality work and abstain from requests that trade quality for cheap solutions. ◉ I also abstain from requests that undervalue the task. (If the budget is constrained and you acknowledge this, I will take the case and propose a viable, realistic approach.) ■ TOOLS (I can attest to any expertise if required) ───────────────────── ◉ Programming Languages (General & Systems): ◎ Python, SQL, Julia, Rust, Go, C++, Java, Bash ◉ Functional Programming: ◎ Scala, Haskell, Nix, Lisps ◉ Data Science, Analytics & High-Performance Computing: ◎ Polars, Pandas, NumPy, SciPy ◉ Machine Learning, Modeling & Bayesian: ◎ Ray Ecosystem, JAX, PyTorch, TensorFlow, Scikit-learn, PyMC, Hugging Face Hub, StatsModels, MLflow, Kubeflow ◉ LLMOps, Observability & AI Tooling: ◎ LangFuse, Pydantic Ecosystem (Pydantic, Logfire, PydanticAI, Pydantic Gateway), Gradio, Prompt Engineering (Jinja2 templating), Experimentation & Evaluation Tooling ◉ Back-End, APIs & Systems Programming: ◎ FastAPI, Node.js, uvicorn, Inference Endpoints (Modal, Baseten), Dramatiq (task processing), Jinja2 templating ◉ Distributed Systems, Data Engineering & Infrastructure: ◎ Kubernetes, kind, Docker, Apache Airflow, Apache Spark (Scala, PySpark), Apache Flink, Apache Kafka, Terraform, GitOps (Argo CD), Linux (NixOS, Debian-based, Kali, Oracle Enterprise), Hadoop ◉ Cloud Platforms: ◎ AWS, GCP, Azure ◉ Monitoring, Logging & Observability Stack: ◎ Prometheus, Grafana, Loki, Promtail ◉ Databases & Storage: ◎ PostgreSQL, MySQL, MariaDB, MongoDB, Redis, Oracle DB, Qdrant, Azure Blob Storage ◉ Data Visualization & Reporting: ◎ Power BI (DAX, Power Query M), Tableau ◉ IaC & DevOps: ◎ NixOS, Nix Flakes, Terraform, GitHub Actions, CI/CD pipelines ◉ Prototyping & Front-End: ◎ Figma, Adobe Illustrator, React, Turborepo, pnpm, Streamlit ◉ Documentation & Version Control: ◎ Typst, LaTeX, Markdown, Git, GitHub ◉ Project & Workflow Management: ◎ Linear ■ INDUSTRIES OF EXPERTISE ───────────────────── ◉ Petrochemical ◉ Agricultural ◉ Financial ◉ Consumer and Retail ◉ Insurance ◉ Business Consulting ■ AREAS OF EXPERTISE ───────────────────── ◉ Behavior of complex systems and processes ◉ Mathematical modeling across diverse contexts ◉ Robust data analysis, interpretation, and validation ◉ Strategic consulting in technically complex fields ◉ Deep understanding of consumer behavior ◉ Cross-disciplinary collaboration and communication ◉ Abstracting business problems into computational solutions ◉ Designing, testing, and delivering complex systems to both technical and non-technical stakeholders ◉ Contributing to the open-source community through maintained projects and utilities ■ WAY OF WORK ───────────────────── ◉ We meet → I understand your business problem → I provide feedback and help manage expectations. ◉ If it’s a go and the timeline is realistic, we plan. Else, I assemble a bigger team with dedicated experts. ◉ I develop the solution → you provide feedback → I deliver the final version. ◉ We set short/medium/long-term maintenance support if required. ◉ We both win. ■ AVAILABLE UPON REQUEST ───────────────────── ◉ Verified credentials / CV ◉ A full Business Services Offering ◉ Previous work evidence ◉ References (Professional / Academic) ■ BUSINESS HOURS (BST) ───────────────────── ◉ Mon - Fri, 9:00 hrs - 19:00 hrs ◉ Sat, 9:00 hrs - 14:00 hrs Expected response time: ◉ During BD: 30 minutes ◉ Outside of BD: 2 hours Complexity, simplified. Let's work together.

I help businesses turn complex data into clear forecasts and executive dashboards. With 10+ years of experience in data science and machine learning, I specialize in: ✔ Time series forecasting (demand, sales, operational metrics) ✔ Predictive modeling & anomaly detection ✔ Interactive dashboards (Power BI / Python) ✔ Data cleaning & transformation ✔ End-to-end ML workflows In my previous role, I improved operational efficiency by 20% and reduced production time by 30% through predictive analytics and AI-driven optimization. If you need: Sales forecasting Inventory prediction KPI dashboards Data automation Model development & deployment guidance I can deliver clean, documented, and decision-ready solutions. Let’s turn your data into a competitive advantage.

Results-driven Software Engineer currently pursuing a dual State Engineer and Master’s degree in AI & Data Science at ESTIN. With over 10 custom applications developed as a freelance developer, I have increased client operations by up to 30% through tailored solutions for diverse industries, such as clothing stores and barbershops. Proficient in technologies including Flutter, React, and Go, I have built complex full-stack applications like a Zoom clone and cinema system. Fluent in Arabic, English, and French, I bring a multicultural approach to problem-solving. Certified in Google Cloud and Docker, with a commitment to continuous learning and delivering impactful digital solutions.

I'm an ML engineer + full-stack developer with a published research paper at ICONIP 2024 (CORE Rank A, co-first author). ML / Data Science work: - Healthcare Resource Predictor — Decision Tree, Random Forest, and Gradient Boosting implemented from scratch in NumPy, validated 100% against scikit-learn. RF reached 78.46% predicting WHO Universal Health Coverage tier. - LocatePro — XGBoost on 12,000+ POIs + satellite features (Sentinel-1, Landsat, NDWI, nighttime light); 80%+ accuracy, deployed as a web app. - Vision-metric — full CV pipeline: camera calibration (0.085 px reprojection error), Mask R-CNN segmentation (val IoU 0.96), and homography for millimetre-scale measurement from a single phone photo. - Geospatial / remote sensing — mapped 240,000 km² of flooding in Sindh + South Punjab using Sentinel-1 SAR on Google Earth Engine; trained YOLOv5 on satellite tiles to detect schools and hospitals in flood zones. Full-stack work: - 7+ production apps shipped with Faust Future (Germany, remote) — Next.js / t3 stack, auth, payments (Whop), RBAC, real-time notifications (SSE), CI/CD pipelines. - Khabar — Pakistani news voice agent on LiveKit + Groq (Whisper, Llama 3.3, TTS); Next.js frontend, Python agent. - Placify — internship management platform (t3 stack) connecting students, companies, and universities. Where I'm strongest: - Research-style deliverables — working code and a written methodology + findings (my ICONIP paper is exactly this). - Geospatial / remote sensing pipelines (GEE, QGIS, Sentinel-1 SAR, NDWI feature engineering). - ML training, feature engineering, evaluation, model-comparison studies. - Next.js + TypeScript apps with Python data/ML pipelines behind them. Stack: Python, scikit-learn, XGBoost, PyTorch, TensorFlow, pandas, NumPy, Google Earth Engine, QGIS · Next.js, TypeScript, React, Tailwind, shadcn/ui · PostgreSQL, SQL · Node.js · n8n, LiveKit, Groq · Git. I won't promise things I haven't done. If a project sits outside my experience, I'll say so up front.

Data Scientist with 4 years of experience turning complex data problems into production-ready ML and AI solutions that deliver measurable business impact. I can help you: ▶️ Build and deploy ML models that perform reliably in production ▶️ Develop NLP and GenAI solutions - classification, chatbots, RAG systems, AI agents ▶️ Design clean data pipelines and semantic models that scale ▶️ Turn messy, complex data into clear, actionable insights Recent projects: ✅ Built a scalable LLM-powered NLP pipeline on AWS Bedrock (classification, NER), improving model performance from ~70% to 95%+ with projected savings of $50k+ ✅ Developed production ML pipelines using PyTorch and TensorFlow to automate insurance claims processing, increasing efficiency by 60%+ ✅ Transformed 100k+ rows of unstructured data into actionable insights using Python, SQL, and Power BI, used by stakeholders to drive key policy decisions Tech stack: Python · SQL · Snowflake · dbt · Pandas · Scikit-learn · PyTorch · TensorFlow · AWS Bedrock · HuggingFace · Power BI If you need someone who takes ownership from idea to production and delivers results you can measure, feel free to reach out.

Top 1% 𝐔𝐩𝐰𝐨𝐫𝐤 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 | Ex-Meta Senior Data Scientist | PhD (ABD) Georgia Tech I lead a team of 8 senior engineers (ex-Meta, ex-IBM, Georgia Tech PhDs) who build AI systems and custom software in 3-12 weeks — not months. What makes us different: We build a working prototype of your project before you pay us anything. 90% of clients who see a demo move forward. 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝: → AI-powered automation (chatbots, document processing, lead routing, multi-agent systems) → Custom web applications (dashboards, portals, internal tools) → Data infrastructure (pipelines, analytics, ML models) → Voice AI & conversational systems (1,000+ daily conversations in production) 𝐑𝐞𝐬𝐮𝐥𝐭𝐬: • 50+ production applications shipped • 7,000+ users scaled on a single platform • $500K+ in revenue generated for client systems • AILA Technology Innovation Award winner • Fractional CTO at the largest immigration law firm in Dallas Our proprietary AI development toolkit lets us deliver at speeds that surprise even technical buyers. 𝐁𝐞𝐬𝐭 𝐟𝐢𝐭: Startups and SMBs who need production-quality AI systems or custom software built fast by senior engineers. Greenfield projects are our sweet spot. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: Python, React, Next.js, Node.js, GCP, AWS, Claude/Anthropic, OpenAI, LangChain, RAG, vector databases, fine-tuning, multi-agent orchestration. Book a call → we'll show you a working demo of your idea before you commit.

⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.

7 year data experienced professional at finance, health, tech, consulting and banking experience. A challenge and problem solving driven professional and have always had as a goal the fusion of data technology and capital markets. Pursuing to contribute and grow within a fast-paced environment on innovative projects. Currently Senior Data Platform Engineer and finishing master’s degree in Computer Science at UFMG. Projects: Throughout my career, I've been involved in many exciting projects, such as developing GAN and binary investment robots for investment algorithms, reconciling financial data for large companies, and statistically analyzing stock trading volume using Google Trends. My projects demonstrate my ability to combine AI models, quantitative analytics and financial expertise to gain data-driven insights. Skills: I have diverse skills in programming languages such as Python, Javascript, R, C/C++, SQL, Typescript, Scala and VBA. I have hands-on experience with various databases such as SQL Server, PostgreSQL, DB2, MySQL, MongoDB, Google Big Query, Oracle, AWS and Microsoft SSIS. In addition, I have knowledge in data visualization tools, such as Shiny, Matplot, Tableau, PowerBI and Google DataStudio. Languages: I am a native Portuguese speaker and proficient in English and Spanish, which enables efficient communication with international teams.