Hire the Best Regular Expressions Developers

I build data systems that don't quietly break: scrapers, pipelines, sync jobs, and the APIs and websites around them. 1,000+ completed projects, 100% Job Success, $500K+ earned on Upwork. What I'm best at: - Data ingestion at scale - Playwright, Puppeteer, Selenium; anti-bot handling, monitoring, scheduled pipelines that grow datasets instead of overwriting them - Full-stack React - Next.js, TypeScript, Tailwind, PostgreSQL/Prisma - Data plumbing - imports, incremental sync, normalization, headless APIs - Rescuing stalled projects - inherited codebases, AI-generated apps that hit their ceiling, "it works but nobody knows why" systems I currently work by invitation only. If your project fits the above, send an invite with a short description and I'll respond quickly.

🥇 𝗘𝗹𝗶𝘁𝗲 𝟭% 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 📢 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 𝗔𝗯𝗼𝘂𝘁 𝗠𝗲 “Khaliq designed a complex web scraping and presentation interface that allowed me to save several hours per day. Over time I've worked with Khaliq on upgrades to this tool and it's been a pleasure each and every time. If more freelancers on Upwork had this level of skillset and work ethic, there would be a lot more happy clients. I highly recommend hiring for any of these areas of expertise.” — Scott O. “I hired Khaliq to create some web scrapes. He was very patient with me while I described exactly what I wanted and even offered suggestions to make it better. The turn around time on the projects are usually ahead of schedule and exactly what I asked for. I will continue to use Khaliq for any web scraping related projects. I highly recommend.” — Joseph P. “I've worked with Khaliq on multiple projects and he has always exceeded my expectations, delivered on time and within budget. I would highly recommend Khaliq to anyone that needs helps with tasks related to Data.” — Stelios K. ✅ Thousands of Hours Saved Through Automation ✅ 500+ Clients Served with Custom Scraping Solutions ✅ $60K+ Earned Delivering High-Quality Data Automation Projects 📈 Clean Architecture | Reliable Delivery | Built to Last 📈 Clean Architecture | Reliable Delivery | Built to Last 𝗛𝗲𝗹𝗹𝗼! 𝗜'𝗺 𝗞𝗵𝗮𝗹𝗶𝗾 — 𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲, 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 I help companies build the systems that keep their business running — reliable backend software, intelligent automation pipelines, and data infrastructure that scales. With 500+ projects delivered and years of production-grade engineering experience, I bring the kind of depth that turns a working prototype into something you can actually depend on. Whether you need a robust API, an end-to-end data pipeline, or a workflow automation system that removes human bottlenecks, I design and ship solutions that are clean, documented, and built for the long term. 🔹 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 🖥️ Backend APIs & Microservices — REST, GraphQL, and event-driven architectures in Python, Node.js, and Rust ⚡ High-Performance Systems — Concurrent, async-first designs that hold up under real load 🗄️ Database Design & Optimization — Postgres, MySQL, MongoDB, Supabase — schema design, indexing, and query tuning ☁️ Cloud & DevOps — Production deployments on AWS (EC2, Lambda), GCP, Docker, and DigitalOcean 🔹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 🤖 AI Agents & LLM Integration — Custom agents built with LangChain, LlamaIndex, OpenAI, Anthropic, and Gemini 🔗 Workflow Automation — n8n (self-hosted & cloud), Make, Zapier — multi-step, production-grade flows 🧩 System & CRM Integration — Connecting your tools, APIs, and databases into one coherent pipeline 📡 API Development & Integration — Designing clean interfaces and wiring up third-party services reliably 🔹 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 🔄 ETL & Data Pipelines — Ingestion, transformation, and loading from diverse sources into structured, usable formats 📊 Data Modeling & Storage — Designing schemas and storage strategies that serve both reporting and application needs 🌐 Data Acquisition — Years of experience extracting structured data from APIs, web sources, and unstructured inputs (a foundation that now powers more complete data engineering work) 📈 Analytics-Ready Output — Clean, normalized datasets wired to dashboards, warehouses, or downstream services 💼 𝗪𝗵𝗮𝘁 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗪𝗶𝘁𝗵 𝗠𝗲 𝗟𝗼𝗼𝗸𝘀 𝗟𝗶𝗸𝗲 📄 Clear documentation and handover — you own everything, fully understood 🛠 Architecture input before a single line of code — I'll flag issues early, not at delivery ⏱ Predictable communication and milestone updates throughout 🧠 Strategic recommendations — not just execution, but how to build it right 📬 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗧𝗵𝗮𝘁 𝗟𝗮𝘀𝘁𝘀 Invite me to your project or send a message. Whether you're starting from scratch, scaling an existing system, or untangling a mess — I'll help you build it properly. 𝕊𝕪𝕤𝕥𝕖𝕞𝕤 𝕥𝕙𝕒𝕥 𝕨𝕠𝕣𝕜. ℂ𝕠𝕕𝕖 𝕥𝕙𝕒𝕥 𝕝𝕒𝕤𝕥𝕤. ℝ𝕖𝕤𝕦𝕝𝕥𝕤 𝕪𝕠𝕦 𝕔𝕒𝕟 𝕞𝕖𝕒𝕤𝕦𝕣𝕖. Software Engineer, Backend Engineer, Automation Engineer, Data Engineer, ETL Pipeline, Data Pipeline, API Development, REST API, GraphQL, FastAPI, Node.js, Python, TypeScript, Rust, PostgreSQL, MongoDB, Supabase, AWS Lambda, Docker, Cloud Deployment, n8n, Make, Zapier, Workflow Automation, Business Automation, AI Agent, LLM Integration, RAG, LangChain, LlamaIndex, OpenAI API, Anthropic Claude, Gemini, Custom AI Agents, MCP, Full-Stack Development, System Integration, CRM Integration, Technical Consultant, MVP Development, Technical Lead, Web Scraping, Data Extraction.

I build Python automation systems, AI integrations, and web scraping pipelines that make businesses run faster with less manual work, fewer errors, and zero constant babysitting. 10+ years building production-ready solutions for startups and businesses. If it can be automated, I'll automate it. 🤖 AI integration & LLM development: I build AI-powered apps and workflows using OpenAI GPT-4, Anthropic Claude, and Gemini APIs. My work covers RAG pipelines, vector databases, LangChain, LlamaIndex, AI agents, custom GPTs, and AI chatbots for customer service, lead generation, and internal operations. ⚙️ Python automation & API integrations: I design and build Python workflow automation, business process automation, ETL pipelines, and REST API integrations that run on autopilot. From CRM automation (HubSpot, Salesforce) to Google Sheets syncing, Slack bots, email automation, and n8n / Make / Zapier flows — I connect your tools and eliminate manual work entirely. I focus heavily on automation and data extraction systems that remove repetitive manual work and turn complex business processes into reliable, scalable pipelines. Whether it's automation across APIs or large-scale data extraction from web platforms, I build systems that run continuously with minimal oversight. 🕷️ Web scraping & large-scale data extraction: Proven track record in high-frequency, large-scale web scraping using Playwright, Selenium, Scrapy, Requests, and BeautifulSoup. I handle JavaScript-rendered pages, pagination, login-protected sites, anti-bot bypass, and proxy rotation. Data delivered clean in CSV, JSON, Excel, MongoDB, MySQL, or SQLite. 🗄️ Data engineering & ETL pipelines: I build data pipelines that move, clean, and transform large datasets for reporting and analytics. Experience with AWS Lambda, EC2, MongoDB, MySQL, and SQLite for scalable data engineering solutions. 🛠️ Tech stack AI / LLM - OpenAI · Claude · Gemini · LangChain · LlamaIndex · RAG · Vector DBs · AI Agents Automation - Python · n8n · Make · Zapier · REST APIs · Webhooks · ETL Pipelines - Bots - Trading Bots Scraping - Playwright · Selenium · Scrapy · BeautifulSoup · Requests · Proxy · Anti-bot Databases - MongoDB · MySQL · SQLite · CSV · JSON · Excel Cloud - AWS · Lambda · EC2 Message me with your problem - I'll reply fast with an honest plan, clear timeline, and no fluff. Let's build something that actually works.

I help research teams and technical founders build and validate reliable, testable scientific and quantitative systems — research prototypes, backtesting frameworks, production execution systems, simulation engines, and performance-critical pipelines. I also conduct independent technical review of quantitative models and research frameworks. If you're dealing with slow code, messy data, a model you can't trust, or a research prototype that needs to become production, I can turn it into a robust, reproducible result. Background: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase — derivatives pricing on a 1M+ LOC C++ library. Max Planck Institute postdoc — general-relativistic hydrodynamics on 1,000+ core HPC clusters. 13 peer-reviewed publications, 1,300+ citations, h-index 12. WHAT I DELIVER ▸ Quant & Options Engineering Backtesting frameworks (event-driven or vectorized), walk-forward, leakage checks Options analytics: Greeks, IV surfaces, Black–Scholes and numerical methods Research → production pipelines (clean architecture, tests, logging, monitoring) Execution integrations (e.g., IBKR) and robust order / risk handling Market data ingestion, cleaning, corporate actions, quality control ML and statistical time-series models with proper cross-validation (no leakage) ▸ Scientific Computing & Research Tooling For physics, chemistry, biology, engineering, and any domain where the core problem is mathematical or computational. Custom numerical solvers (finite volume / finite difference, spectral, particle methods) with stability and convergence analysis Optimization engines (Bayesian, gradient-based, evolutionary) for experimental design, formulation, and parameter search Simulation frameworks from prototype to production grade Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows Verification and validation: benchmarks, unit / regression tests, convergence studies Analysis tools, dashboards, and reporting infrastructure for research workflows Air-gapped and reproducible deployments where IP sensitivity or regulatory context requires it ▸ Quantitative & Mathematical Review (NDA-protected) Independent technical review of quantitative models, frameworks, and research Verification of internal consistency, identifiability, hidden assumptions, and mathematical correctness Assessment of whether the formal structure supports the conclusions drawn from it Implementation review against specification: numerical stability, edge cases, code-to-spec fidelity ▸ HPC & Performance Engineering Distributed computing (MPI / OpenMP / CUDA), GPU optimization, memory and I/O tuning Inference and training infrastructure at scale Profiling, refactors, and speedups for codebases that need to run reliably under production load WHY CLIENTS WORK WITH ME - Trustworthy work — research prototypes turned into tested, reproducible production code; models reviewed against their own claims - De-risking — failure modes surfaced early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability — clean architecture, docs, handover-ready delivery your team can extend - Communication — clear milestones, concise updates, realistic timelines, no surprises - Math ↔ engineering bridge — strong intuition for both theory and implementation IDEAL PROJECTS - Quant strategy development, backtesting, and research infrastructure - Options analytics and derivatives tooling - Mathematical review of quantitative manuscripts, white papers, or research frameworks - Independent validation of production models against specification - Market data pipelines and reproducibility upgrades - Performance optimization of slow Python / C++ codebases - Distributed training, GPU optimization, and inference serving for ML workloads - Custom scientific or industrial simulation and numerical software - Internal R&D tooling for research labs and technical teams If this sounds like a fit, message me with a brief on your current setup and success criteria — I'll let you know how I can help.

I turn court filings and public records into real estate leads — distress, ownership and foreclosure signals — before they hit the lists everyone else buys. If you source deals, monitor court filings, or need leads from public data across multiple counties, I build pipelines that pull from protected sources and keep running daily. And when standard tools or AI scrapers hit a wall — Akamai, Cloudflare, DataDome, reCaptcha — that anti-bot work is exactly what I've specialized in for years. I've spent 9+ years on Data Extraction & Pipelines (20+ in technology, with a network security background) getting data out of sources that don't want to give it up, and turning it into systems my clients run their businesses on: deal sourcing, lead generation, price monitoring, market intelligence. Clients usually come to me when: - They need court records or public data across multiple counties - They want ownership distress signals before competitors find them - They need public records turned into lead generation and skip tracing workflows - Their existing extraction process keeps breaking - They need to work with data on protected websites and anti-bot - The project needs ongoing monitoring, not a one-time export Where I'm genuinely hard to replace: Protected sites and hidden APIs. Akamai, Cloudflare, DataDome, PerimeterX, reCaptcha, device fingerprinting. Mobile and web reverse engineering to reach hidden APIs when the protocol allows it — direct platform connections over headless browsers. When standard web scraping tools and AI scrapers hit a wall, this is the work I've specialized in for years. And if a target is technically or legally not viable, I'll tell you that too, before you spend money. Court and government platforms. Tyler Odyssey, Socrata, Granicus, Laserfiche, CivicPlus, ArcGIS and a few dozen more I've already mapped. Here's the thing most people miss: what looks like hundreds of different government websites is usually a handful of underlying platforms. On a recent project, 250+ government sites came down to 10 integrations. Build the adapter once and the same system covers an entire state. Your project starts further ahead because of every project before it. Pipelines that stay alive. Monitoring, alerting, retries, data quality checks, AI-assisted classification where it makes sense. I've taken over plenty of projects where the previous solution worked great in the demo and died three weeks later. Selected work: - Court records pipeline detecting ownership distress signals across 225+ counties and courts, feeding real estate acquisition workflows - 100,000+ real estate listings deduplicated and merged with ownership, tax and valuation data for AVM workflows - 250+ government sites analyzed and reduced to 10 platform integrations - 96,000+ business entities extracted from government registries, classified by industry with LLMs, enriched with contact data - 5,000+ municipal meetings scraped and analyzed with AI keyword intelligence across five government platforms; adding a new jurisdiction requires zero code changes - 150,000+ grocery products monitored every 2-5 hours across major UK retailers - 125,000+ automotive parts synchronized daily from marketplaces protected by enterprise anti-bot systems Stack: Python, Playwright, Scrapy, FastAPI, PostgreSQL, MongoDB, JS/TS, LLM integration, OCR, document processing, ETL workflows. A note on how I prefer to work: the best results come from ongoing monitoring relationships, not one-off extractions. Sources change; a system someone maintains beats a deliverable someone forgets. I offer managed monitoring for clients who need continuous data, and fixed-scope builds when that's the better fit. Either way, you get working infrastructure with documentation, not a zip file with a script in it. If a source has been giving you trouble, send me the URL. I'll usually know within a day whether it's feasible and roughly what it takes. --- real estate data, property data, real estate leads, mls data, foreclosure data, court records monitoring, government data, municipal data, regulatory data, foia, competitor intelligence, data pipeline, automated data pipeline, scheduled extraction, data orchestration, proxy rotation, browser automation, python automation, data classification, data normalization, data enrichment, data validation, document extraction, structured data delivery, supabase, ai data processing, llm integration, demandstar, tyler odyssey, granicus, primegov, legistar, civicplus, agendacenter, civicclerk, escribe, agendalink, laserfiche, swagit, hyland onbase, iqm2, civicweb, boarddocs, diligent, revize, municode, destiny, veconnect, tyler energov, arcgis hub, ckan, accela, opengov, clerk of courts, property appraisers

I build production-grade Python-based data extraction and Web Scraping systems that survive where others fail. Projects range from focused data extraction tasks to large-scale Anti-Bot resilient infrastructures — each engineered for stability, performance, and long-term reliability. Over 12+ years, I’ve designed extraction systems processing 1B+ structured records across marketplaces, aggregators, AI/ML platforms, competitive intelligence systems, and enterprise catalogs. My systems are built using Python, Scrapy, Playwright, and Selenium — combining Web Scraper development, Data Mining, API Integration, and ETL pipeline design into stable, production-grade architectures. Whether you need a targeted scraping solution or a high-volume distributed pipeline, I architect the right system. When data becomes mission-critical — reliability matters more than code. ────────────── What I Build ────────────── • Custom Python Web Scraper and Data Extraction systems aligned with business logic • Scalable web crawlers handling anything from selective datasets to millions of pages • Continuous update pipelines (batch & incremental ETL workflows) • Queue-based distributed processing • High-concurrency execution models • API-based data extraction and system integrations • Clean ingestion into PostgreSQL / MySQL / APIs / cloud storage • Automated validation, deduplication & anomaly detection • Structured Data Mining pipelines for growing datasets You receive structured, business-ready datasets — not scripts to babysit. ────────────── Anti-Bot & Protection Layers ────────────── Modern platforms are protected.I work inside environments guarded by: - Cloudflare (403 / 429 / Turnstile) - DataDome behavioral detection - Akamai Bot Manager - PerimeterX - Reverse engineering of detection vectors & TLS/JA3 fingerprint alignment - Headless & browser fingerprint detection - hCaptcha / reCAPTCHA v3 Enterprise - Sustainable session & token lifecycle management This is not proxy swapping. This is controlled, sustainable access engineering. ────────────── Scale & Cost Control ────────────── As volume increases, scraping typically fails in two ways: 1) Stability collapses 2) Infrastructure & proxy costs explode I optimize concurrency models, routing logic, batching strategy, request distribution, and traffic patterns to maintain high throughput with controlled infrastructure load. Where relevant, I reduce proxy and infrastructure costs by up to 30% while preserving system stability. Result: High uptime. Predictable performance. Controlled margins. ────────────── Future-Proofing ────────────── Websites evolve. Structures change. Protection layers update. I implement structural drift monitoring and heartbeat systems that detect site changes before pipelines fail — shifting from reactive recovery to proactive control. Most developers fix scraping after it breaks. I design systems that minimize breakage from the start. ────────────── Who This Is For ────────────── • Founders building data-driven products • AI/ML teams requiring proprietary datasets • Businesses automating competitive intelligence or market tracking • Companies where reliable data access supports growth ────────────── Confidence Check ────────────── If needed, I can provide a working sample before full engagement to demonstrate data quality and bypass stability. To get started, send: - Target website(s) - Required data fields - Expected volume - Update frequency - Preferred output format Whether you're starting with a focused scraping task or building a large-scale data infrastructure — let’s build it properly.