Dedicated and results-driven data scientist with a proven track record of transforming complex datasets into actionable insights that drive business decision-making. My expertise includes: ✅ Data Analysis & Visualization: Advanced proficiency in Python and R for data analysis, with hands-on experience creating impactful visualizations using Power BI, Google Data Studio, and Matplotlib. ✅ ETL & Back-End Systems: Skilled in designing and implementing efficient ETL processes in Python, and integrating them with databases such as MySQL and PostgreSQL to improve workflows. ✅ Business Intelligence: Experienced in leveraging real-time data to uncover trends, monitor KPIs, and deliver insights that align with strategic business objectives. ✅ Machine Learning: Proficient in developing and deploying machine learning models using PyTorch and Sklearn for predictive analytics, classification, and clustering to solve complex business problems. Whether you need to analyze large datasets, automate workflows, or create visually compelling dashboards, I’m here to help. Let’s collaborate to transform your data into measurable success for your business.

Data Scientist | Software Developer Data Scientist & Software Developer splitting my time between living in Texas and SG (UTC +8). I build production-ready data systems and ML infrastructure that teams can interpret, maintain, and lean on. My work sits at the intersection of machine learning, cloud infrastructure, and agent-driven automation. Whether it's a predictive model, a multi-stage data pipeline, or an AI-powered orchestration system, I build things that are clean, documented, and designed to last. Not just to demo well. I am still building a reputation here on UpWork regardless of my extensive work history, so I am happy to do basic cleaning on datasets or excel sheets as it is something I have done thousands of times. I can typically reduce reporting time by 30% by automating Excel dashboards for weekly sales tracking or other datasets. What makes my work different: I treat documentation and structured context as part of the deliverable, not an afterthought. Every project I ship has a clear paper trail at every stage, so whether it's a teammate, a client, or an AI agent picking it up next, the handoff is smooth and the logic is readable. My current clients are as follows (Part-Time): More Streams: Rebuilding full infrastructure for a music industry platform that was botched by vibe coding. It serves 50+ clients: full-stack campaign tooling, Cloudflare serverless database, Stripe and Spotify API integrations, and 11 -Claude Code automation plugins that eliminated ~40 hours of manual work per week. Wildwood Development: Building predictive models to forecast construction costs and support capital development decisions from quarterly data. Stack: - Infrastructure: Python, SQL, AWS, GCP, Terraform - ML/AI: Scikit-Learn, TensorFlow, PyTorch - Orchestration: Claude Code, multi-agent pipeline design I'm available for contract engagements.

I help AI security platforms and MLOps tools create technical content that engineers trust, executives approve, and validate content quality before publication, so it doesn't damage credibility. **BACKGROUND:** PhD in Intelligent Control and AI (50+ publications, 382 citations, h-index 12), Expert-Vetted freelancer (Top 1%), $100K+ earned on Upwork, 70+ completed projects. **WHAT I DELIVER:** → Original AI Security Writing (1000+ published - Knostic) - White papers (5,000-8,000 words): Threat models, compliance frameworks, implementation roadmaps - Technical analysis blogs (2,000-3,000 words): Agent security, coding assistant threats, data leakage, prompt injection - Buyer guides: Security tool evaluation, framework comparisons (NIST AI RMF, ISO 27001/42001) - Case studies: Enterprise implementations with technical depth + business outcomes Examples from Knostic blog: - "AI Coding Agent Security: Threat Models and Protection Strategies" - "Building an AI Data Security Strategy From Scratch" - "Top Vibe Coding Security Risks and How to Fix Them" → ML/LLM Evaluation Content (250+ reviewed - Deepchecks) - Technical articles on LLM evaluation methodologies, benchmarks, and agent assessment - Content strategy + outline creation for complex ML topics - Review and editing for technical accuracy, methodology rigor, and claim defensibility Examples from the Deepchecks blog: - "LLM Agent Evaluation: Metrics, Methods & Real-World Use Cases" - "Top LLM Evaluation Benchmarks and How They Work" - "How To Evaluate State-Of-The-Art LLM Models: A Complete Guide" → Technical Review & Quality Control - 250+ Deepchecks articles validated for technical accuracy - 5000+ ODSC conference submissions reviewed (6 years) - Methodology verification, claim validation, and editorial for clarity - Catching errors before they damage platform credibility **WHY COMPANIES HIRE ME:** I'm not a "content writer who Googles stuff." I'm a PhD researcher who writes with reviewer-level rigor. When I write about AI agent security, I understand threat models and attack surfaces. When I review LLM evaluation content, I know benchmarking methodologies. When I create outlines, I map research requirements to evidence standards. My content passes technical review because I AM a technical reviewer. **HOW I WORK:** 1. Discovery Phase: Product capabilities, target buyers, competitive landscape, regulatory context 2. Research: Deep dive into technical architecture, threat models, use cases 3. Outline: Structure with inline citations, key claims flagged 4. Draft: Full content with citations, technical depth, business context 5. Revisions: Technical accuracy → audience fit → final polish 6. Delivery: Google Doc (formatted), reference list, meta descriptions

Hi, I’m Tallal, a PhD in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 and an 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 specializing in building production-ready Generative AI systems, LLM applications, NLP solutions, data science workflows, mobile applications, and intelligent software products. I help startups and businesses turn AI ideas into real products, from LLM-powered assistants to RAG systems, machine learning models, data analytics tools, automation systems,𝐢𝐎𝐒/𝐀𝐧𝐝𝐫𝐨𝐢𝐝 𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐬, 𝐚𝐧𝐝 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐀𝐈 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 that are scalable, reliable, and production-ready. My work focuses on 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐋𝐋𝐌𝐬, 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐍𝐋𝐏, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐢𝐎𝐒 / 𝐀𝐧𝐝𝐫𝐨𝐢𝐝 𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐁𝐮𝐢𝐥𝐝 • AI-powered web and mobile applications • Generative AI apps using GPT, Claude, Gemini, LLaMA, and other LLMs • RAG systems for document search, knowledge bases, and AI assistants • AI agents and automation workflows for decision-making and business processes • NLP systems including chatbots, summarization, classification, sentiment analysis, and information extraction • Machine learning models for prediction, recommendation, ranking, forecasting, and analytics • Data science workflows for data cleaning, feature engineering, visualization, statistical analysis, and model development • iOS and Android apps integrated with AI, APIs, dashboards, payments, notifications, and backend systems • Full-stack AI products with APIs, dashboards, authentication, databases, and cloud deployment • Backend automation systems for real-world business operations 🧠 𝐀𝐈 / 𝐆𝐞𝐧𝐀𝐈 / 𝐌𝐋 / 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐒𝐭𝐚𝐜𝐤 Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, GPT-4, Claude, Gemini, LLaMA, LangChain, LangGraph, embeddings, vector databases, semantic search, RAG pipelines, prompt engineering, AI agents, structured outputs, NLP, classification models, recommendation systems, predictive modeling, data preprocessing, feature engineering, and data visualization. 📱 𝐌𝐨𝐛𝐢𝐥𝐞 & 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 iOS (Swift), Android (Kotlin), Flutter, React Native, FastAPI, Django, Flask, Node.js, REST APIs, PostgreSQL, MongoDB, Firebase, authentication systems, admin dashboards, scalable backend architectures, real-time features, push notifications, and API integrations. ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 AWS Lambda, EC2, S3, DynamoDB, Cognito, Docker, Firebase, CI/CD pipelines, monitoring systems, cloud deployment, API integrations, and production-grade AI/ML deployments. ⭐ 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 I specialize in combining AI engineering, machine learning, data science, and real product development. That means I do not only build models or prototypes; I build complete systems that can run in production and deliver real value to users. 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐡𝐢𝐫𝐞 𝐦𝐞 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞𝐲 𝐧𝐞𝐞𝐝 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐰𝐡𝐨 𝐜𝐚𝐧 𝐡𝐚𝐧𝐝𝐥𝐞 𝐛𝐨𝐭𝐡 𝐭𝐡𝐞 𝐀𝐈/𝐌𝐋 𝐥𝐨𝐠𝐢𝐜 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐭𝐚𝐜𝐤 𝐛𝐞𝐡𝐢𝐧𝐝 𝐢𝐭, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, 𝐜𝐥𝐨𝐮𝐝 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐚𝐧𝐝 𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. I’ve worked across Generative AI systems, LLM integrations, RAG pipelines, NLP systems, machine learning models, data science workflows, mobile applications, backend platforms, automation workflows, and real-time AI products. 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐰𝐡𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐬 𝐀𝐈, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞, 𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐬, 𝐚𝐧𝐝 𝐫𝐞𝐚𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐢𝐝𝐞𝐚 𝐭𝐨 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭.

I'M ROBERT 😊, A RESEARCHER WITH A KNACK FOR QUALITY WORK. 🌟 𝑾𝒆𝒍𝒄𝒐𝒎𝒆 𝒕𝒐 𝑻𝑶𝑷-𝑹𝑨𝑻𝑬𝑫 𝑨𝒄𝒂𝒅𝒆𝒎𝒊𝒄 𝑾𝒓𝒊𝒕𝒊𝒏𝒈 𝒂𝒏𝒅 𝑬𝒅𝒊𝒕𝒊𝒏𝒈 𝑺𝒆𝒓𝒗𝒊𝒄𝒆𝒔🌟 ⭐️ Top Rated - Top 3% of Talent on Upwork 🕒 350+ hours on Upwork ✅ 8+ years of experience ✅ 300+ projects delivered ✅ Excelling in delivering Quality Work I hold a Bachelor's Degree in Commerce (Banking and Finance option) and a Master of Science (MS) in entrepreneurship and innovation management. I have extensive experience in simplifying difficult ideas to convey an excellent understanding of the targeted audience on different subjects. I am well acquainted with the entire process of researching and editing in various subjects and well versed in Harvard, MLA, APA, and Chicago formatting styles. I have written, proofread, and edited hundreds of research papers, and my skills are at your disposal. I acknowledge that plagiarism and the use of CHATGPT or any other form of AI are serious offences, and I have learned how to avoid them by writing using my own words, citing references and proper paraphrasing. Subjects I deal with: • Applied Statistics, Business, Finance, Economics, Management, and Marketing • Politics, American politics, History, • Contemporary Issues, International Relations • Social Issues, Foreign policy, Culture, and Political Economy • Social Sciences and Nursing • Statement of Purpose and Recommendation Letters for Colleges and University Education programs, scholarships, employment, and Immigration purposes Areas of my strengths include the following: 1) Delivery of original work 2) Quick turn around. 3) High-quality work: For me, quality is non-negotiable. I want the best possible outcome for my client and will go the extra mile to make it happen. 4) Detail-oriented: This is indispensable when working on any project. Research papers are highly sensitive, and a mistake, no matter how trivial, can be extremely detrimental. I do my best to alleviate problems that may arise by making sure everything is fact-checked. Here are some of the comments from Upwork clients about me: • "Working with Robert has been a breeze. Great communication, great skills, and the project finished right on schedule. I would be glad to work again with Robert. Would definitely hire again." • "This is my first project with Robert, and he exceeded my expectations! Job well done." • "He was professional and delivered on time. The content was very well written and was on par with what I required. He kept me in the loop and made the process stress-free and seamless." • "Great to work with. Highly recommended!" • "Delivered good work on essay" • "Robert did a nice job on a research article. I would not hesitate to return to his project." • "Excellent communication, quick work." P.S. The “In progress” count does not reflect the amount of work I have at a go. This contains all the open contracts, with some completed over 2 years ago, but the clients left them open for future working relationships. I always give every project that I apply, the attention it deserves. Upon the approval of the final draft by the client, I relinquish all the rights to the work. Assign me any form of writing, and I will deliver excellent work that gives you value for your money.

From raw genomics data (FASTQ, RNA-seq, scRNA-seq, NGS, WGS, WES) to publication-ready genomics analysis, differential expression, pathway analysis, variant interpretation, biomarker discovery, SNPs analysis and reproducible genomics pipelines delivered fast, accurately, and ready for real-world research and clinical genomics applications. As a Genomics & Bioinformatics Expert, I help researchers, labs, biotech teams, and genomics-focused organizations transform complex genomics and sequencing data into differential expression, pathway analysis, variant calling insights, genomic interpretation, population genomics analysis, biomarker discovery, dashboards for biological data visualization, and end-to-end genomics workflows for research, diagnostics, and precision medicine applications. As a Genomics & bioinformatics programmer, computational genomics specialist, and machine learning engineer, I build scalable genomics pipelines and sequencing analysis workflows for RNA-seq, scRNA-seq, NGS, WGS, WES, GWAS, transcriptomics, and multi-omics data using Python, R, Bash, Nextflow, and Snakemake. With 5+ years of experience, I develop reproducible genomics workflows with Docker-based deployment and scalable computational pipelines for genomics research, biomedical data analysis, and large-scale sequencing projects. In Genomics, I specialize in RNA-seq, scRNA-seq, NGS, WGS, WES, transcriptomics, population genomics, GWAS, differential expression, pathway analysis, and multi-omics analysis, transforming raw sequencing data into actionable biological insights for publications, clinical research, and genomics-driven product development. ------------------------------------------------------------------------------------------------------------------ MY EXPERTISE INCLUDE ------------------------------------------------------------------------------------------------------------------ * End-to-end bioinformatics pipelines, data science pipelines, and machine learning pipelines with Python, R, Bash, Nextflow, and Snakemake * Docker-based deployment, containerization, and production-ready workflow development * RNA-seq and scRNA-seq analysis: QC, alignment, normalization, differential expression (DESeq2, edgeR, Seurat) * NGS data analysis: WGS/WES variant calling, annotation, and genomic interpretation (GATK, Samtools, Bedtools) * Genomic / Gene Expression Anlaysis * Primer and probe design for PCR/qPCR assays, including in silico validation, Tm and GC optimization, hairpin/dimer analysis, and BLAST specificity checks * Machine learning and AI on omics data: predictive modeling, classification, clustering, biomarker discovery * Multi-omics integration: transcriptomics, proteomics, metabolomics * Population genetics, GWAS, and statistical genetics analysis * Structural bioinformatics, protein-ligand docking, and pathway analysis * Biostatistics: f-statistics, qpAdm, qpWave, phylogenetics ------------------------------------------------------------------------------------------------------------------ TOOLS AND TECHNOLOGIES ------------------------------------------------------------------------------------------------------------------ Python, R, scikit-learn, TensorFlow, PyTorch, LLM frameworks, vector databases, Nextflow, Snakemake, Docker, GATK, Seurat, Samtools, Bedtools, IGV, Cytoscape, PyMOL, Primer3, IDT OligoAnalyzer, NCBI BLAST ------------------------------------------------------------------------------------------------------------------ I help clients transform complex biological and biomedical data into reproducible, scalable, and actionable result, combining bioinformatics, data science, and AI/ML to accelerate research, support publications, and deliver deployable solutions. If your project involves RNA-seq, NGS, scRNA-seq, multi-omics, machine learning on omics data, I can deliver end-to-end solutions from data processing to deployable outputs. Let’s discuss your project.

I am an electrical and electronic engineer with a Masters in Digital signal processing at the Imperial College UK. I am currently a Ph.D. student at the City University of London UK. Some of my achievements: 1.- Author of the book "MATLAB aplicado a Telecomunicaciones" 2.- Over 5 years of experience in digital image printing systems and computer vision systems 3.- Over 10 years of experience in electronics, sensors, and data acquisition systems. I conducted the project design of a digital seismograph in 2007 sponsored by CONACYT. In 2022 I conducted a research project in turbine instrumentation with Arduino and I have now published a paper. This year 2023 I am conducting an electronic project on a smart oximeter. 5.- Researcher and Ph.D. student since 2018. Experience in Artificial intelligence systems. Currently high experience in data science and image processing methods for cancer detection and grading. 6.- I have a team of collaborators with different expertise areas: CAD, software programming, data analysis

I am a professional online tutor with extensive experience teaching Maths, Physics and Chemistry to students of O-levels, A-levels, GCSE, IGCSE, and IB. I have also helped numerous students around the world prepare for SAT, ACT, and AP exams. My teaching methodology involves explanation of concepts in detail and in a way that is easy to understand. Furthermore, I help my students learn how to apply those concepts for solving problems. It is my passion to help students achieve academic excellence.

Highly motivated and experienced Ph.D. in Mathematics with a passion for applying machine learning, data science and Artificial Intelligence. With a full-stack skillset and extensive training (evident form the professional certifications and specializations), I excel in building end-to-end solutions, from data cleaning and feature engineering to model development, deployment, and performance optimization. I leverage my strong mathematical foundation and diverse training to provide innovative solutions across various industry domains including deep learning, natural language processing, and generative models. My expertise covers areas like: • Predictive modeling for various domains like finance, healthcare, and marketing. • Natural Language Processing (NLP) for sentiment analysis, text generation, and chatbot development. • Computer vision for applications such as image classification, object detection, and anomaly detection. • Recommender systems for personalized product recommendations and content discovery. • Deep learning for building AI-powered solutions across diverse industries. Why Choose Me: • Strong theoretical foundation and diverse practical experience. • Full-Stack Expertise: Experience across data acquisition, preparation, analysis, modeling, and deployment. • Proven Track Record: Successful projects using various AI/ML techniques for diverse clients. • Passionate & Collaborative: Committed to understanding client needs and delivering impactful solutions. • Efficient & Results-Oriented: Focused on delivering high-quality work within deadlines Experience & Certifications: • Machine Learning Stanford University Specialization • IBM Machine Learning Professional Certificate • Deep Learning Specialization • IBM AI Engineering Professional Certificate • Advanced Data Science with IBM Specialization • Applied Data Science with Python Specialization • Natural Language Processing Specialization • Generative Adversarial Networks (GANs) Specialization So, are you looking for a skilled and passionate ML/AI expert to help you unlock the power of data? Let's connect and discuss your project!

𝐄𝐱𝐩𝐞𝐫𝐭-𝐀𝐩𝐩𝐫𝐨𝐯𝐞𝐝 𝐚𝐧𝐝 𝐓𝐨𝐩 𝟑% 𝐨𝐧 𝐔𝐩𝐖𝐨𝐫𝐤 Scope of my services: ✅ Machine Learning and Deep Learning. ✅ Data Science, including Mining, Preprocessing, Analysis, and NLP. ✅ Pandas, TensorFlow, Keras, and Scikit-Learn. ✅ Python, R, Matlab, and SQL. ✅ Shiny, Plotly, Dash, and Bokeh. I strive to surpass expectations and deliver exceptional results. ⚡︎ Trusted Data Scientist for innovative projects. 🌟 Adaptive problem-solving strategies 🚀 Superior communication skills 🟢 Tailored solutions for optimal results I believe in the power of simplicity. My specialization lies in simplifying complex concepts into clear, impactful solutions, allowing your projects to stand out in the realm of data and AI. 🌟 🏆 Here's a testimonial from a recent client: “Ayoub has just finished assisting me with a research project on applying AI - Machine/deep learning methodologies to predict thermomechanical characteristics of composites. His communication and work quality were both excellent during the course of the six months. His Python knowledge was great, and he made sure that work was provided to me far ahead of the deadline so that I could make any necessary tweaks and revisions. I wholeheartedly recommend Ayoub for your next AI project, and I hope to collaborate with him in the near future.“ Message me and let's work together to achieve remarkable results! Best, Ayoub Machine Learning, Data Science, Python, Natural Language Processing, TensorFlow, Statistics, Data Modeling, Data Visualization, Data Analysis, AI Chatbot, Business Intelligence, Generative AI, Cloud Engineering Consultation