1000+ Scrapers Built | 1B+ Records Collected | 12+ Years Experience I build production-grade web scraping and data extraction systems that continue working where most scrapers fail. My work ranges from focused scraping tasks and custom web scrapers to large-scale data infrastructures designed for stability, scalability, and long-term reliability. Whether you need a small scraper, a medium-size data extraction tool, or a high-volume scraping pipeline — I design the right solution for your project stage, budget, and goals. You don’t just get a script — you get a reliable data collection system built around your business needs. I take full ownership of the technical data collection process so you can focus on strategy, growth, sales, or product development. Whether you're a startup validating an idea, a growing company building data pipelines, or an established business scaling large datasets — I design solutions that fit the stage and goals of your project. ============================== What I Build ============================== I combine Web Scraper development, Data Mining, API Integration, browser automation, reverse engineering, and ETL pipeline design into stable production systems. Core services: - Custom Python web scraper development - Web scraping and data extraction from public websites - Scalable web crawlers for large-volume data collection - Product scraper, real estate scraper, marketplace scraper, directory scraper, review scraper, price scraper, lead scraper, and business data scraper systems - Continuous data update pipelines - Batch and incremental ETL workflows - Queue-based distributed scraping architecture - High-concurrency crawling and data processing - API data extraction and backend integrations - Data cleaning, validation, deduplication, sanity checks, and anomaly detection - Structured delivery into PostgreSQL, MySQL, MongoDB, CSV, Excel, JSON, Google Sheets, APIs, or cloud storage You receive clean, structured, business-ready data — not fragile scripts that need constant supervision. ============================== Anti-Bot & Protected Websites ============================== Many modern websites are protected by advanced Anti-Bot and WAF systems. I work with complex scraping environments where stability requires more than proxy rotation. Experience includes: - Cloudflare protection, 403 / 429 errors, IUAM, Turnstile - DataDome behavioral detection - Akamai Bot Manager - PerimeterX - Rate limiting and IP bans - Browser and headless browser detection - Canvas / WebGL fingerprint exposure - HTTP/2 and TLS / JA3 fingerprint alignment - reCAPTCHA, hCaptcha, and challenge loops - Session, token, and authorization lifecycle management - Residential and mobile proxy routing strategies The goal is controlled, sustainable data access with realistic traffic patterns, stable sessions, monitoring, retry logic, and long-term reliability. ============================== Large-Scale Scraping & Cost Control ============================== At scale, most scraping systems fail in two ways: 1. Stability breaks when websites change or traffic grows. 2. Infrastructure and proxy costs become too expensive. I solve both by designing the right architecture from the beginning: - Distributed workers - Queue-based processing - Smart batching - Request optimization - Proxy rotation strategy - Concurrency control - Database ingestion optimization - Error handling and retry systems - Monitoring and heartbeat checks - Structural change detection - Protection-drift monitoring Where relevant, I optimize proxy and infrastructure usage to reduce operating costs while preserving system stability and throughput. The result: High uptime. Clean data. Predictable performance. Controlled costs. ============================== Technical Stack ============================== Languages & Scraping Frameworks: Python, Scrapy, Playwright, Selenium, Beautiful Soup, Requests Data & Storage: PostgreSQL, MySQL, MongoDB, CSV, Excel, JSON, Google Sheets, APIs, AWS S3, Cloud Storage Infrastructure: Docker, Redis, Celery, RabbitMQ, distributed workers, queue-based pipelines, cron jobs, cloud servers Network & Anti-Bot: Residential proxies, mobile proxies, proxy rotation, HTTP/2 fingerprinting, TLS / JA3 alignment, CAPTCHA solving APIs, session management, browser fingerprint stabilization ============================== Typical Projects ============================== - E-commerce product data scraping - Real estate listing and agent data extraction - Marketplace and aggregator scraping - Price monitoring and competitor intelligence - Business directory scraping - Lead generation datasets - Review and rating extraction - Travel, hotel, ticketing, event, and inventory data collection - AI/ML dataset creation - Large-scale crawler development - Scraping infrastructure for SaaS, PropTech, FinTech, marketplaces, and data products

Most AI projects fail because the infrastructure around them wasn't built to last. I'm an AI developer and Python developer who fixes that. I build RAG pipelines, AI Agent systems, and the backend architecture they need to actually run in production. When a project demands it, I bring in a trusted Python developer I've worked with long-term. Having a second Python developer and a second AI developer on call means you get the output of a full team without the overhead of managing one. 1. AI Systems That Go Beyond the Prototype As an AI developer, I design and implement custom RAG (Retrieval-Augmented Generation) pipelines that ground your LLMs in proprietary data: eliminating hallucinations and making responses genuinely useful. I build autonomous AI Agent frameworks that execute multi-step workflows without human input. Whether that means PyTorch for a custom machine learning model, TensorFlow for a deployment-optimized pipeline, or combining PyTorch and TensorFlow across different stages of the same system or computer vision for document parsing and image classification — I choose the right tool, not the trendiest one. My data scientist background means I treat model evaluation as seriously as model building. Nothing ships until the benchmarks prove it works. Every web development project I deliver goes through the same data scientist discipline: measure, validate, ship. 2. The Backend That Holds It Together A great AI developer still needs solid engineering underneath. As a Python developer, I build the infrastructure that makes AI systems reliable at scale: FastAPI and Django REST APIs, Flask microservices for lightweight integrations, Flask-based task queues for async jobs, PostgreSQL and MySQL schemas built for real data volumes, SQL queries optimized for performance, Docker-containerized services deployed through CI/CD pipelines with Git-managed version control. Data Scraping and web scraping are core to how I keep models current. I build Scrapy pipelines that continuously pull structured data from the web and load it into PostgreSQL or MySQL. That means your AI developer's models are always working with fresh information. I also use Scrapy for competitive research and e-commerce intelligence. Airtable provides non-technical stakeholders visibility into those Data Scraping pipelines, and Airtable webhooks trigger FastAPI or Django endpoints when records change. 3. Full Stack, Front to Back I'm a full stack developer and web developer, which means I own the entire delivery. React dashboards, Node.js middleware, JavaScript-heavy interfaces. I build the frontend that makes AI outputs accessible to real users. As a software engineer with web development experience across the full stack, I keep React components, Node.js services, and JavaScript logic clean and maintainable alongside the Python backend. I also have PHP developer experience. Many clients have existing PHP developer codebases, legacy CMS platforms, older systems that need to connect to modern Python APIs rather than be replaced. I know how to work with what's already there. 4. What Working With Me Looks Like You get a Python developer and AI developer in one person, backed by a trusted Python developer when the scope demands it. You get production-ready code - documented, tested, Git-managed, containerized with Docker, deployed through CI/CD. You get a data scientist mindset applied to every decision, a software engineer's standards applied to every line, a full stack developer's awareness of the full delivery chain, and a web developer's understanding that the end user is always the point. If you need an AI developer and Python developer who can take a project from first conversation to live deployment, I'd like to hear about it.

Your map is slow, hard to scale, or just not doing what your data is capable of. I build interactive maps and geospatial platforms that perform. 🏆 Top Rated & 100% Job Success Score 💎 $10k+ Earned on Upwork 🎓 Certified Geo-Informatics Engineer (NUST) 📍 5+ Years of Professional Experience My Toolkit: ■ Mapping Tech: Mapbox GL JS | MapLibre | Deck.gl | Leaflet | Cesium | Google Maps | Maptiler ■ Front End: NextJS | React | TypeScript ■ Back End: Python (FastAPI/Django/Flask) | Node.js | Express ■ Databases: PostgreSQL (PostGIS Specialist) | MongoDB | MySQL ■ GIS & RS Analysis: GDAL | Rasterio | GeoPandas | QGIS | ArcGIS | Shapely ■ Others: AWS S3 & RDS | Apache Airflow My Stats: ⭐ 5-star rating on every reviewed project (24 completed jobs) 💯 100% Job Success Score for on-time, on-budget delivery 🏆 Top Rated on Upwork — consistently ranked among top Mapbox experts globally 💼 Trusted Consultant: Proven track record with enterprise & startup clients What You'll Get Working With Me: ■ A Mapbox expert who goes beyond the docs — custom layers, 3D terrain, clustering, real-time data, and advanced GL JS performance tuning ■ Full-stack geospatial architecture: PostGIS-powered backends connected seamlessly to React map frontends ■ Geospatial data engineering that handles the messy work — raster processing, tile pipelines, and large dataset automation ■ Maps embedded cleanly into your existing platform — no rebuilding what already works ■ A clear technical plan before any code is written — so scope stays tight, and budget stays predictable ■ Response within 1 hour and milestone updates throughout — you always know where the project stands ■ Clean, documented, maintainable code — not a black box your team can't work with later What My Clients Say: ■ "Muhammad went above and beyond what I expected... Our client is very happy." ■ "An exceptional problem solver who created an incredibly efficient script, saving us time and delivering flawless results." ■ "Arslan is a terrific consultant... delivered a product exactly as promised." Specialized Solutions I've Delivered: Interactive Maps & Web Mapping Platforms: ■ Full-stack member analytics map (React + Mapbox) — real-time location data visualized for a SaaS platform ■ Address list interactive map with custom filters, categories, and clustered markers ■ Clickable ride-tracking map for a mobility platform with live data layers ■ Offline Cesium globe with custom GIS data layers for enterprise use ■ PowerPoint plugin to render live map data with location layers inside presentations Map Integration into Existing Platforms: ■ Google Maps integration for a trade services pricing web application — MVP led to a long-term hourly contract ■ Cemetery plot purchase and mapping system embedded into a client platform — 128+ hours, still active ■ Mapbox map embedded into an existing web app with Airtable-to-Google-Sheets data migration ■ Leaflet map shortcode extension for a WordPress platform Geospatial Data Engineering & Automation: ■ 740-gigapixel drone imagery processing pipeline — automated big data workflow for aerial datasets ■ 16GB ECW-to-COG raster optimization pipeline using custom Python/GDAL for web delivery ■ Automated Mapbox raster tile upload script — eliminated hours of manual processing per week ■ PostGIS + SQLAlchemy spatial query debugging and performance optimization ■ KMZ uploads, CSV geocoding, and JSON layer overrides using MapTiler and JavaScript About Me: I am a GIS Developer and Geo-Informatics Engineer with a passion for turning complex spatial data into clear, actionable insights. I've spent 5+ years building production geospatial systems at the intersection of mapping, data engineering, and full-stack web development. We're a Good Match If: ✅ You need an interactive map built from scratch — or significantly improved ✅ You want to embed or integrate mapping functionality into your existing platform ✅ You have large or complex spatial datasets that need processing, automation, or pipeline work ✅ You're building a web mapping platform and need someone who understands both the backend data and the frontend experience ✅ You want a long-term technical partner who communicates clearly and delivers consistently We Might Not Be a Good Fit If: ❌ You are looking for the cheapest quick-fix rather than a scalable, high-quality solution. Sound like a fit? Next steps: Hit "Message" and tell me briefly what you're building or what problem you're trying to solve I'll respond within 1 hour with a clear, honest assessment

❇️ Senior Solution Architect & Full-Stack Engineering Leader | 🌍 16+ Years Experience | 🚀 100+ Global Projects Delivered I specialize in architecting and delivering high-performance, scalable, and intelligent software systems for startups, scale-ups, and enterprise clients worldwide. With over 16 years of hands-on experience, I operate across the full technology spectrum—combining modern frontend frameworks, robust backend architectures, and cloud-native infrastructure to transform complex ideas into production-grade applications. My core strength lies in designing end-to-end solutions—from rapid MVP development to large-scale enterprise platforms, with a strong focus on performance, scalability, and user-centric design. 🔷 Core Expertise ✔️ Enterprise Architecture & Full-Stack Leadership Designing scalable, maintainable systems across web, mobile, and cloud environments. ✔️ Frontend Engineering Excellence React.js, Next.js, Angular, TypeScript Modern UI systems (MUI, Bootstrap) High-performance, responsive, and interactive interfaces ✔️ Backend & API Architecture Node.js (Express, LoopBack), Java (Spring), Python (Django) REST & GraphQL (Apollo) APIs Distributed systems & microservices architecture ✔️ Geospatial & Advanced Mapping Systems CesiumJS (3D Globe), OpenLayers, ArcGIS, Google Maps, Mapbox Real-time geospatial data visualization and processing ✔️ Database & Data Engineering Relational: Oracle, PostgreSQL, MySQL, SQL Server NoSQL: MongoDB, Elasticsearch, AWS DynamoDB High-performance querying and data modeling 🔷 Cloud & DevOps Expertise ✔️ Cloud-Native Architecture AWS (Primary): Lambda, API Gateway, S3, Cognito, Kinesis, Athena CI/CD pipelines using CodePipeline, CodeBuild, CodeDeploy Elastic Beanstalk & serverless application deployment ✔️ Multi-Cloud Capabilities Google Cloud (App Engine, Compute Engine, Cloud Functions) Microsoft Azure (Pipelines, Boards, Repos) ✔️ Version Control & Collaboration GitHub, GitLab, Bitbucket, AWS CodeCommit, Azure Repos 🔷 Integrations & Enterprise Systems ✔️ API Integrations (Extensive Experience) PayPal, Stripe, Zoom, QuickBooks, Twilio, SendGrid, WhatsApp (Meta), Uber, Lyft, Zapier, Expensify, and more. ✔️ Authentication & Security (SSO / OAuth) Auth0, Okta, AWS Cognito, Firebase, Azure AD, and major social platforms. ✔️ CRM, ERP & CMS Systems Zoho, Odoo, Apache OFBiz, HippoCMS ✔️ Data Visualization & Reporting Power BI, Jasper, BIRT, Sisense, Highcharts, Recharts, Chart.js, AMCharts 🔷 Delivery Approach I bring a solution architect’s mindset to every engagement: 📌 Deep technical discovery & architecture planning ⚡ Agile, milestone-driven execution 📈 Scalable, future-ready system design 💬 Clear, consistent stakeholder communication I partner with organizations that require precision, scalability, and long-term reliability in their technology stack. If you’re looking for a senior architect who can lead, design, and deliver complex systems end-to-end, I bring the expertise and execution discipline to turn vision into reality. -- Nikhil Mahajan

I design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!

"Akshay is extremely talented, intelligent, and patient (with me). I've been lucky to find him." "Smart and talented expert. I am really happy with his work. Highly recommended. Thank you very much." With one of the few feedbacks I've received with few years of amazing experience, I believe I'm ready to take the challenge of a full-time freelancer. I'm Pro GIS developer with knowledge not only limited to development. I have professional skills in GIS, Web development, desktop tool development, Image Processing, GIS data creation and project management. If you're looking for someone who can not only develop amazing products but also manage your whole project, you're in right place. My Goal: To apply the knowledge of Geospatial Studies to real life problems and help in the development of decision making theories and tools to deal with the same. My Skills: ArcGIS API for Javascript / Web app builder, Javascript, Python, ArcObjects, ArcMap, Erdas Imagine, GIS data creation, Leaflet, Open source, Flex, Project Management, Mobile and web application development. Thanks for reading my profile, will love to work together and make a strong relationship.

Highly skilled GIS Software Developer and Analyst with more than 8+ years of experience in both open-source and proprietary geospatial technologies. Specialized in open-source GIS development using tools such as QGIS, OpenLayers, Leaflet, and Mapbox, alongside modern web development frameworks like Angular and mapping APIs including Google Maps. Adept in the design and deployment of interactive and responsive Web GIS applications. Proficient in GIS database management, including spatial database design, optimization, and integration using Oracle Spatial, PostGIS, SpatiaLite, and other spatial extensions. Also experienced in ArcGIS development, including automation with ArcPy, custom tool creation, and ArcGIS Online/Enterprise configuration, ensuring seamless integration between Esri products and open-source solutions. Proven ability to deliver scalable GIS solutions for diverse sectors including urban planning, environmental management, and transportation. Strong analytical skills, collaborative approach, and a passion for leveraging geospatial technologies to solve real-world problems.

Expert-Vetted Top 1% on Upwork | Top 10 Machine Learning Agency on Upwork | 7+ Years in Production AI | Sports, Industrial, Satellite, Healthcare I'm a Computer Vision Engineer and Machine Learning Engineer with 7+ years delivering production-grade AI systems. Upwork has Expert-Vetted me as a Top 1% specialist in this niche, and our team is ranked among the Top 10 Machine Learning agencies on Upwork. I work with product teams and startups across sports analytics, industrial inspection, satellite and aerial imagery, access control, healthcare, and generative AI — any domain where visual data needs to become reliable, actionable output running in production. As a Computer Vision Engineer, my core work covers object detection, multi-object tracking, pose estimation, image segmentation, image processing, and real-time video analysis. I build end-to-end pipelines in Python using OpenCV, PyTorch, TensorFlow, and Keras, from dataset preparation and model training through TensorRT optimization and Docker deployment on cloud or NVIDIA Jetson edge hardware. I use C++ for performance-critical components where Python latency is a bottleneck. The domains where computer vision engineer experience creates the most value: sports analytics (player tracking, performance metrics, automated statistics from broadcast video), industrial inspection (defect detection and quality control on production lines), satellite and aerial imagery (object detection and segmentation for infrastructure analysis), access control and security (vehicle identification, multi-camera real-time monitoring), and healthcare and biomechanics (pose analysis, body measurement, and biomedical signal processing connected to AI coaching backends). As a Machine Learning Engineer and Data Scientist, I also build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When projects require generative AI or LLM components, I deliver RAG pipelines with LangChain and vector databases, synthetic dataset generation tools, and document processing systems using the Gemini API. Regardless of domain, the computer vision engineer approach stays the same: combine OpenCV-based preprocessing with deep learning inference into a scalable, testable pipeline that holds up under real-world conditions — variable lighting, occlusion, low resolution, multi-camera setups, and edge hardware constraints. I work with YOLO-family models, ByteTrack and DeepSORT for tracking, MediaPipe and MMPose for pose estimation, TensorRT and ONNX for inference optimization, and FastAPI with Docker for production deployment. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope complex systems, split parallel workstreams, and deliver a full Computer Vision Engineer engagement faster than a solo contributor could. Clients typically work with me when they need: - a Computer Vision Engineer to build detection, tracking, or segmentation systems from scratch - a Machine Learning Engineer to productionize a research model and meet latency requirements - a Data Scientist who can go from raw data to a deployable model end-to-end - an AI engineer to integrate LLM or generative components into an existing backend - real-time or edge inference optimized for NVIDIA Jetson or mobile deployment - a Python developer who understands both the AI pipeline and the surrounding system architecture If you need a Computer Vision Engineer with the full stack from dataset to deployed API, let's talk. Main stack: Python, OpenCV, PyTorch, TensorFlow, Keras, YOLO, ByteTrack, MediaPipe, MMPose, CoreML, TFLite, TensorRT, ONNX, scikit-learn, FastAPI, Docker, PostgreSQL, C++, NumPy, pandas, SciPy.

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝘄𝗲𝗯 𝗮𝗽𝗽𝘀 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱: 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗯𝗮𝗰𝗸𝗲𝗻𝗱𝘀 𝘄𝗶𝘁𝗵 𝗗𝗷𝗮𝗻𝗴𝗼/𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗺𝗼𝗱𝗲𝗿𝗻 𝗥𝗲𝗮𝗰𝘁/𝗡𝗲𝘅𝘁.𝗷𝘀 𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱𝘀 𝘄𝗶𝘁𝗵 𝗧𝗮𝗶𝗹𝘄𝗶𝗻𝗱𝗖𝗦𝗦, 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘁𝗵𝗮𝘁 𝗵𝗮𝗻𝗱𝗹𝗲 𝗿𝗲𝗮𝗹 𝘁𝗿𝗮𝗳𝗳𝗶𝗰. What I deliver: - Custom SaaS platforms and web applications - API development (REST/GraphQL) with Django/FastAPI - Modern React/Next.js frontend development - Database optimization and migration - Web scraping and data automation pipelines - Full-stack MVP development to production - Performance tuning and scalability Stack: Python · Django · FastAPI · Flask · Celery · React · Next.js · TypeScript · TailwindCSS · PostgreSQL · MongoDB · Redis · Docker · GitHub Actions Integrations: Stripe · PayPal · Twilio · SendGrid · OAuth · JWT Authentication · Webhook Integration · Third-party API integration 📩 Ready to build? Send me a message - I'll respond within a few hours. Keywords: Full Stack Python Developer · Python Developer · Backend Developer · Django Developer · FastAPI Developer · Flask Developer · React Developer · Next.js Developer · TypeScript Developer · TailwindCSS Developer · REST API Development · GraphQL API · Django REST Framework · API Integration · Third Party API Integration · JWT Authentication · OAuth Integration · Stripe Integration · PayPal Integration · Webhook Integration · SaaS Development · SaaS Platform · Multi-tenant SaaS · B2B SaaS · MVP Development · Custom Web App · Web Application Development · Admin Dashboard · Real-time App · WebSocket App · PostgreSQL Developer · PostgreSQL Optimization · MySQL Developer · MongoDB Developer · Redis Caching · Elasticsearch Developer · Database Design · Database Migration · Database Optimization · Docker Deployment · Docker Containerization · CI/CD Pipeline · GitHub Actions · DigitalOcean Deployment · Heroku Deployment · Server Automation · Celery Task Queue · Background Job Processing · Async Python · Task Automation · Web Scraping · Data Scraping · Selenium Automation · Playwright Scraping · Scrapy Developer · Data Automation · Data Pipeline · ETL Pipeline · Pandas Developer · Microservices · Microservices Architecture · API Gateway · Scalable Backend · High Performance API · Python Automation Developer · Django SaaS Developer · FastAPI Microservices · Next.js SaaS · React Dashboard Developer · Python Data Pipeline · Full Stack MVP Developer · Python API Developer · Subscription Billing · Payment Integration

[NEW] You can talk-to-my-work using the link in the portfolio section! Are you looking for a Python expert to build cutting-edge trading systems, optimize financial data workflows, or develop scalable APIs? With 3+ years of experience in full-stack development and 50 successful freelance projects generating $150k, I specialize in delivering high-performance solutions for hedge funds, retail traders, and FinTech startups. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: Algorithmic Trading Systems: Custom strategies with IBKR, Binance, and CCXT integrations. Financial Data Analytics: Forecasting (ARIMA, SARIMA), NLP-based news analysis, and portfolio optimization. Scalable Backend Systems: APIs and serverless architectures using FastAPI, Flask, and AWS. Cloud Computing: Deployment, CI/CD workflows, and database integration with AWS tools. 𝗧𝗲𝗰𝗵 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 Languages: Python (Flask, Django, FastAPI), Advanced Data Structures. Tools: Redis, Celery, PostgreSQL, AWS (Lambda, API Gateway, DynamoDB). Data Science: Pandas, NumPy, scikit-learn, and geospatial analysis (GeoPandas). 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Certified AWS Machine Learning Specialist – Expertise in scalable AI/ML systems for finance. Upwork Skill Certification: Python Development & Back-End Development – Verified proficiency. AI/ML Quantitative Developer (QuantPy) – Advanced application of AI in quantitative finance. 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? I tailor solutions to your unique business needs, ensuring quality and scalability. I’m a strong communicator who delivers on time, every time. I’m committed to long-term collaborations and helping your business grow. Let’s create impactful solutions together! Message me today, and I’ll be happy to discuss your project.