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Web scraping is a pain in the neck. Leave the worrying to me for a bit. I am a Python Developer with 3 years of experience specializing in turning messy websites and locked PDFs into clean, usable data. I don't just "get data"—I structure it so you can actually use it. 🏆 Why Hire a Python Expert for Scraping? Clean Code, Clean Data: 3 years of Python experience means your data isn't just "scraped"—it's cleaned, structured, and ready for use. Anti-Bot Navigation: I specialize in finding ways around Cloudflare, DataDome, and CAPTCHAs using modern headless browser techniques. Reliability: My background in automation means I build systems with error handling and logging—if a site changes, the script doesn't just crash; it tells us why. Infrastructure Mindset: I understand how to manage proxy pools and headers to keep your scrapers running undetected. 🟢 WHAT I CAN DO FOR YOU: Web Scraping: Reliable data extraction using Requests, Playwright, Beautiful Soup and Selenium. PDF Data Mining: Converting thousands of PDFs into structured spreadsheets. Data Transformation: Taking raw data and cleaning/formatting it using Pandas. Automation: Writing Python scripts to handle repetitive data tasks. 🟢 YOU NEED ME IF: You are tired of "cheap" scrapers that get blocked after 100 requests. You have a folder full of PDFs and you need that data in Excel. You have a complex site (Infinite scroll, heavy JavaScript, Login walls) that "basic" tools can't handle. You want a developer who communicates clearly and hits deadlines. 🟢 YOUR BENEFITS OF WORKING WITH ME: Scalable Solutions: I write code that can grow from 1,000 to 1,000,000 records. Production-Ready: I use tools like Redis and Scrapyd for high-performance, asynchronous crawling. Consultative Approach: I’ll tell you the most cost-effective way to get the data you need without burning through expensive proxies. 🕷️ MY SCRAPING TECH-STACK 🕷️ Python | Selenium | Playwright | BeautifulSoup (BS4) Tools: Requests, Proxy Management, Captcha Solving Services,CSV/Excel/JSON.. Ready to get your data? Send me a message with a link to the site or a sample PDF, and I’ll get started.

I build production-grade backends, AI systems, and automation that actually ship. I specialize in Python backend development (Django, Django REST Framework, FastAPI) and applied AI, including end-to-end RAG pipelines and LLM integrations, alongside a strong track record in automation, bots, scraping, and third-party integrations. ━━━━━━━━━━━━━━━━━━━━ 🤖 AI & LLM I build complete RAG systems over large document sets, covering ingestion, OCR, chunking, embeddings, hybrid retrieval, and generation, with vector stores like pgVector and Qdrant, plus LLM routing to balance answer quality against cost. 📈 Trading Automation & Bots I build trading automation and bots, including TradingView integrations, signal-driven strategies, and exchange/webhook automation that runs reliably and unattended. 🕸️ Scraping & Data Extraction I build web scraping and data-extraction systems using Playwright, Puppeteer, and Crawlee, with anti-bot handling and authenticated sessions, at scale. 🔗 Backend & Integrations I build scalable APIs, data pipelines, and third-party integrations that connect and sync data across platforms, handling the full lifecycle: architecture, testing, CI/CD, and cloud deployment on AWS and GCP. ━━━━━━━━━━━━━━━━━━━━ Having led engineering as a CTO, I care about the things that make software last: clean architecture, reliability, and doing it right once. I move fast, communicate clearly, and can own a problem end to end or slot into an existing team. If you're building anything with AI/LLMs, backend APIs, trading automation, scraping, bots, or integrations, I can help you get it into production reliably. ━━━━━━━━━━━━━━━━━━━━ ⚙️ CORE SKILLS AI & LLM RAG pipelines, OpenAI API, LangChain, pgVector, Qdrant, embeddings, hybrid retrieval, prompt engineering, AI bots Trading & Automation TradingView integration, trading bots, signal automation, webhook/exchange integrations, scheduled jobs, workflow automation Scraping & Data Extraction Playwright, Puppeteer, Crawlee, anti-bot and authenticated scraping, large-scale data extraction Backend Python, Django, Django REST Framework, FastAPI, Flask, REST API design, Celery, RabbitMQ Databases & Data PostgreSQL, MongoDB, pandas, NumPy, data pipelines, ETL Cloud & DevOps AWS, GCP, Docker, Jenkins CI/CD Frontend JavaScript, React, Vue.js, Nuxt.js, Node.js

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.

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