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Hi, I’m Tallal, a 𝐏𝐡𝐃 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with experience building production-ready Generative AI applications, machine learning models, NLP solutions, RAG systems, AI agents, and scalable iOS and Android products. I help startups, research teams, and established businesses turn ideas and complex datasets into reliable digital products. My work spans data analysis and modelling, backend and mobile development, API integration, cloud deployment, experimentation, model evaluation, and publication-ready reporting. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐁𝐮𝐢𝐥𝐝 • LLM-powered SaaS, web, and mobile applications • Native and cross-platform iOS and Android applications • AI-powered mobile apps with chat, voice, recommendations, and automation • Mobile apps with APIs, payments, authentication, notifications, maps, and real-time features • RAG systems, semantic search, and knowledge assistants • AI agents with tools, memory, APIs, and structured outputs • 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 workflows using 𝐎𝐩𝐞𝐧𝐀𝐈, 𝐂𝐥𝐚𝐮𝐝𝐞, 𝐆𝐞𝐦𝐢𝐧𝐢, 𝐚𝐧𝐝 𝐋𝐋𝐚𝐌𝐀 • Machine learning models for prediction, recommendation, ranking, and forecasting • NLP systems for classification, sentiment analysis, topic modelling, and information extraction • Data science pipelines for cleaning, feature engineering, analysis, and modelling • Statistical analysis, hypothesis testing, model evaluation, and data visualisation • Python APIs, backend systems, automation pipelines, and scalable cloud deployment 🚀 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 • Exploratory data analysis and preparation • Supervised and unsupervised machine learning • Statistical and predictive modelling • NLP, text mining, and topic modelling • Recommendation systems and user-behaviour analysis • Time-series analysis and forecasting • Causal inference and counterfactual analysis • Bibliometric, scientometric, network, and graph analysis • Experimental design and research methodology • Model validation, performance analysis, and error evaluation • Technical documentation and publication support 𝐀𝐈 𝐚𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐚𝐧𝐝 𝐋𝐋𝐌𝐬: OpenAI, Claude, Gemini, LLaMA, LangChain, LangGraph, LiteLLM, RAG, embeddings, vector databases, prompt engineering, tool calling, and structured outputs 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, SciPy, deep learning, recommendation systems, classification, clustering, forecasting, topic modelling, and statistical analysis 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Swift, SwiftUI, Kotlin, iOS, Android, Flutter, React Native, Firebase, and backend API integration 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: FastAPI, Django, Flask, Node.js, REST APIs, WebSockets, Celery, and Redis 𝐃𝐚𝐭𝐚: PostgreSQL, MongoDB, Firebase, ETL pipelines, data preprocessing, feature engineering, and visualisation 𝐂𝐥𝐨𝐮𝐝 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS, Azure, GCP, Docker, Kubernetes, CI/CD, GitHub Actions, Lambda, EC2, S3, DynamoDB, Cognito, RDS, Aurora, CloudWatch, API Gateway, Vercel, Railway, monitoring, security, scalability, and production support I combine academic machine learning research with practical AI, mobile, and software engineering, allowing me to evaluate problems scientifically and turn the right approach into a reliable production product. 𝐖𝐡𝐞𝐭𝐡𝐞𝐫 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭, 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐀𝐈/𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐖𝐞𝐛 𝐨𝐫 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐭𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐢𝐧𝐢𝐭𝐢𝐚𝐥 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐭𝐨 𝐚 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧.

🚀 I help companies turn engineering and sensor data into practical AI solutions — from idea to working MVP. I’m Dr. Muhammad Zohaib Sarwar, a PhD engineer from NTNU, Norway, with hands-on experience in machine learning, signal processing, predictive maintenance, smart sensing, and industrial analytics. My work combines strong research depth with practical implementation, so clients get solutions that are not only technically sound, but also usable in real projects. I have worked on real-world engineering problems involving condition monitoring, railway systems, sensor integration, time-series analysis, and data-driven diagnostics. My background spans AI, embedded sensing, cloud-based analytics, and engineering workflows, allowing me to bridge raw data, algorithms, and deployable solutions. 💡 What I Can Help You With * Build AI/ML MVPs in as little as 30 days for well-defined use cases * Predictive maintenance and anomaly detection systems * Signal processing and time-series analytics * Vibration and condition monitoring solutions * Sensor fusion, IoT, and edge-data workflows * Deep learning models for engineering applications * Dashboards, reporting tools, and cloud-based analytics * Research consulting, algorithm development, and technical documentation 🧠 My Expertise * Machine learning and deep learning * Predictive modeling and fault diagnostics * Signal processing and feature engineering * Time-series analysis * Smart sensing and embedded systems * IoT and sensor data pipelines * Technical data visualization and reporting * Engineering-focused AI workflows ⚙️ Tools & Technologies * Programming: Python, MATLAB, C/C++ * AI/ML: TensorFlow, PyTorch, Scikit-learn * Cloud & DevOps: Azure, AWS, Docker, Git, Power BI * Engineering Tools: COMSOL, ABAQUS, LabVIEW * Hardware: Arduino, Raspberry Pi, FPGA, smart sensors ✅ Why Clients Hire Me I do more than build models. I help clients define the problem clearly, structure the data, choose the right technical approach, and develop a solution that creates real value. If you need someone who can: * Understand complex technical systems * Work with noisy real-world data * Build reliable AI workflows * Deliver a useful prototype or MVP fast then I can help. 🤝 Let’s build an intelligent solution that is practical, reliable, and ready for real use.

Bioinformatics Specialist & Data Scientist with Full-stack Developer and Platform Engineering Expertise PhD in Bioinformatics with a robust foundation in designing and optimizing data pipelines, ETL processes, and integrating large-scale biological datasets. Over 6 years of professional experience in developing end-to-end data processing workflows, building and deploying scalable machine learning models, and implementing statistical models. Proficient in architecting and automating data platforms, ensuring efficient data flow and real-time processing for high-throughput genomics, proteomics, and other omics data. Expertise in creating full-stack solutions that transform complex biological research into actionable insights, leveraging advanced data transformation, analysis, and visualization techniques. Skilled in bridging the gap between bioinformatics and software development, delivering scalable, reliable, and maintainable data solutions. Technical Skills: • Programming Languages: Python (7+ years) • Data Processing: Pandas, Numpy, and other Python-based data manipulation tools • Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB), Vector (Milvus) • Data Pipelines: ETL processes, Snakemake • Machine Learning: PyTorch, Scikit-learn, model deployment • Data Visualization: Matplotlib, Seaborn, Plotly, interactive dashboards Bioinformatics Tools: • Programming Libraries: BioPython • Genetic and Variant Analysis: PLINK, GATK (Genome Analysis Toolkit), variant calling • Sequence Alignment: MUSCLE • Genomic Studies: GWAS tools Molecular Modeling Tools: • Molecular Dynamics: AMBER, GROMACS • Structural Visualization: PyMOL • Docking: AutoDock, VINA, DiffDock, etc. • Protein Structure Prediction: AlphaFold • Applications: Molecular dynamics simulations, structural bioinformatics Extensive experience integrating a wide range of bioinformatics databases across various domains into pipelines and custom software: Genomic Databases, e.g, NCBI (GenBank, RefSeq), Ensembl, ClinVar • Protein and Structural Databases, e.g. UniProt, PDB, InterPro, Pfam • Pathway and Functional Databases, e.g. KEGG • Chemical and Drug Databases, e.g., ZINC, PubChem, ChemDB, DrugBank

One of my skills are solving real-life problems by coding effective and functional algorithms, I've learned the programming languages, Python, Java and MySQL. Furthermore, I'm willing to learn and expand my knowledge to become an expert at my field. Lastly, I’ve also worked as a Norwegian interpreter at TolkeNett, and during translation I’m determined to ensure that the message is received in a well formulated manner to the client. Feel free to contact me, I'm available for audio transcription and translation services.

I'm a Data Scientist and a multifaceted Content Creator and Virtual Assistant with a passion for technology and innovation. With expertise in Python, Machine Learning, AI, and SQL, I leverage my skills in training ML models and Big Data Analytics. I am passionate in automation and complex processes. Dedicated to staying ahead of industry trends, I aim to provide value and efficiency in all of my endeavors.