🏆 Upwork Certified Python Developer, Backend Developer 🏆 Senior Software Engineer 🏆 With over 5 years of experience in software development building AI-powered applications, automation solutions, web scrapers, APIs, and scalable web platforms. ⏰On Time Delivery ⏳ Urgent requirements 💯Over-Delivering: I aim to provide exceptional value and go the extra mile to exceed client expectations. With a commitment to delivering outstanding results, I believe in over-delivering on every project I undertake. ✨My area of expertise ✅AI & LLM Applications (OpenAI, Gemini, Claude) ✅AI Agents & Workflow Automation ✨Web Development ✅Django and Django Rest Framework (DRF) ✅Flask and Flask Restx ✅FastAPI ✨Background Task Managers ✅Celery ✅Celery Beat ✅Cron Jobs ✨Sockets ✅Django Channels ✅Daphne ✨Social Logins ✅Google, LinkedIn, Facebook, Twitter, GitHub ✨Scraping ✅Scrapy ✅Beautiful Soup ✅Selenium ✨Cache ✅Redis ✅MemCached ✨Message Brokers ✅Redis ✅RabbitMQ ✨Databases ✅PostgreSQL ✅MongoDB ✅MySQL ✅MSSQL ✅SQLite ✅DynamoDB ✨Search ✅Elastic Search ✅MongoDB Atlas search ✨Other technology ⚓Docker Apart from that, I am also proficient in building Mobile Applications for Android and iOS platforms with native as well as Cross-Platform development using Flutter. Specialized in the following areas of Mobile App Development: ✅Android and iOS Apps Development ✅Flutter Apps Development ✅API Integration: REST APIs as well as Graph QL APIs ✅Payment Gateway Integration ✅Machine Learning and Smart Apps using TensorFlow models. ✅Chat and Messaging Apps ✅E-Commerce/Shopping Apps ✅Localization - Supporting multiple languages in an App.

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.

I build production backends and scrapers that stay stable under load. I have migrated legacy systems, scaled APIs beyond 3,000 active users and 7M+ records, and built async data pipelines that process about 35,000 businesses in 9 minutes for roughly $0.25 in compute. I also build custom scrapers and crawling pipelines that turn dynamic and protected websites into structured data. If you need someone who owns the backend and reliably extracts data from the web, I focus on performance, failure cases, anti bot systems, and cost from day one. What I do, backend and APIs: • Design and build REST APIs with FastAPI and Django, sync and async • Architect microservices and background processing with Celery, Redis, Kafka, RabbitMQ • Implement secure authentication with JWT, OAuth2, Argon2id, Supabase Auth, and role based access • Optimize databases with PostgreSQL, SQLAlchemy, Supabase, Redis caching, and query tuning • Integrate payments and webhooks with Stripe and other providers • Deliver clean, tested, maintainable code What I do, web scraping and automation: • Build Python scrapers with requests, BeautifulSoup, Selenium, Playwright, Scrapy, undetected chromedriver, proxy rotation • Handle both simple static sites and JavaScript heavy SPAs • Bypass anti bot measures including Cloudflare, reCAPTCHA, hCaptcha and similar shields • Use undetected headless browsers, 2captcha and CapSolver, and human like behavior to stay under the radar • Scrape social platforms and restricted APIs, including Twitter via TwiKit and reverse engineered endpoints • When there is no public API, extract data directly from the web Asynchronous and scalable crawling: • Use asyncio, aiohttp, asyncio.gather and asyncio.Lock for high volume scraping • Crawl thousands of pages concurrently for e commerce price monitoring and large scale data collection • Run long lived workflows with attention to efficiency and stability Data processing and delivery: • Clean and structure results into CSV, Excel, JSON, or direct database writes • Integrate outputs into existing systems or dashboards • Set up scheduled jobs so your data stays up to date Applied AI and automation: • Integrate OpenAI models such as GPT 4, GPT 4o mini, and GPT 5 mini into real products • Build scoring, classification, and enrichment pipelines with Langfuse observability • Add AI on top of ETL for cleaning, deduplication, routing, prioritization, and decision logic • Implement chatbots, assistants, and business intelligence features powered by LLMs • Embed GPT or custom models into scraping flows to classify content, auto fill forms, and make on the fly decisions Selected results, influencer discovery API (Instagram, TikTok, YouTube): • Migrated the service from Flask to FastAPI with a full sync to async refactor • Recovered many previously broken endpoints and platforms • Scaled the system to more than 7M database records and around 3,000 active users • Added Celery task queues on Redis and GPT based content scoring with Langfuse monitoring Selected results, Google Maps business intelligence backend: • Processes about 35,000 businesses in 9 minutes using two level async parallelism • Uses aiohttp, asyncio.gather and asyncio.Lock to avoid race conditions and keep the database stable • Includes JWT and OAuth2 auth, Argon2id password hashing, a simple CRM for contacts and follow ups, and CSV export Previous projects: • Django REST backends with Stripe payments, webhooks, and admin tools • Automation and scraping systems with Selenium, Playwright, undetected chromedriver, rotating proxies, 2captcha and CapSolver • Backend automation for Web3 and social platforms with Discord and Twitter API integrations Tech stack I am confident owning: • Backend: Python 3.10+, FastAPI, Django, Flask, Django REST Framework • Async and messaging: asyncio, aiohttp, Celery, Redis, Kafka, RabbitMQ • Databases: PostgreSQL, Supabase, SQLite, SQLAlchemy ORM • Auth and security: JWT, OAuth2, Argon2, Supabase Auth, cryptography • AI and monitoring: OpenAI API, Langfuse, OpenTelemetry • Scraping and automation: requests, BeautifulSoup, Selenium, Playwright, Scrapy, undetected chromedriver, TwiKit, 2captcha, CapSolver, proxy infrastructure • DevOps: Docker, Docker Compose, GitHub Actions, Linux You should contact me if: • You need a backend for an AI product, SaaS platform, data heavy API, or large scale scraping system • You want to migrate from Flask or legacy Django views to FastAPI or DRF with async where it actually helps • You want AI powered scoring, enrichment, or automation built directly into your backend and scrapers • You care about clean, maintainable code with tests, clear structure, and predictable behavior If you have a concrete problem, send me a short description and I will tell you what I can build for it and how I would approach it.

With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

👋 Hi, I’m Aziza! I’m a Python Software Engineer with over 6 years of experience in backend development. I specialize in building scalable APIs, automation systems, and cloud integrations that power efficient, high-performance applications. 🚀 🌟 Here’s what I bring to the table: • 🐍 Expert Python Development: Proficient with frameworks like Django, Django DRF, Django Ninja, Flask, and FastAPI for creating robust and secure backend solutions. • 💳 Payment Systems & Monetization: Integrated Stripe API and RevenueCat to develop subscription plans, manage free trials, cancellations, and track transactions seamlessly. • ☁️ Cloud Integrations: Hands-on experience with AWS services like S3, Lambda, and Rekognition for storage, serverless computing, and image processing. • 🧹 Web Scraping & Automation: Built efficient scraping systems using BeautifulSoup4 and Selenium for data collection, email parsing, and AI model training. • 🔄 Real-time Data Solutions: Designed push notifications using OneSignal, real-time synchronization systems with Firebase, and automated workflows with Celery. 💼 Industries I’ve Worked In: • 🎵 AI & Media: Implemented speech-to-text and text-to-speech systems, integrated SSO with Firebase, and optimized workflows with automation and AI tools. • 🛍️ E-commerce: Developed scalable backend systems for shopping platforms, enhancing user experiences and streamlining operations. • 🌐 SaaS & Startups: Delivered 6+ startup projects end-to-end, utilizing CI/CD pipelines with GitHub Actions for smooth deployments. ✨ Why Choose Me? I thrive on solving complex challenges and delivering clean, maintainable code that ensures long-term project success. Whether it’s API development, web scraping, or automation, I’m committed to providing efficient, scalable solutions tailored to your needs. Let’s connect 💬—I’d love to learn about your project and help bring your vision to life!

I have 15+ years of industry-proven experience with a traceable success story to develop applications in Python, Node.js, React, Angular, AI frameworks,.Net and JS libraries. I specialise in designing and implementing scalable APIs. My tech stack Expertise: ✅Python, Django, Flask, Scrapy, Pytest, Node ✅ASP.NET Core, .NET MVC, .NET Angular, C# ✅OpenAI, Gemini, Claude, and Cursor AI ✅ReactJS, VueJS, NextJS, Typescript, JavaScript, jQuery ✅Databases & Servers: Redis, SQLAlchemy, NoSQL, MS SQL Server, Prisma ORM ✅APIs: Slack API, Swagger, Google APIs, Stripe, GraphQL, RESTful APIs, Open APIs ✅AWS (EC2, S3), GitHub, GitLab, Bitbucket Clients' Feedback 👍"Kashif is extremely reliable and flexible and works out of his way to ensure the task allocated is completed. Would love to continue working on future Python projects and highly recommend him to others looking for a reliable Python export as well. ===== 👍"Kashif is very reliable, professional, and flexible. He is genuine and really goes above and beyond to ensure work is done to the standards expected. We would love to work and hire him again if an opportunity for any backend development in Python comes up. We wish you all the best in your future endeavors, Kashif and hope to work with you again soon. ===== 👍"Kashif and the Team's communication was top-notch, they met all deadlines, and their skills were exceptionally strong. I enjoyed working with them. They are very dedicated and take pride in their code. I would strongly recommend the freelancer for any software development projects." Keywords: .NET Developer, Python Developer, Full-Stack Developer

🏆 Top-Rated on Upwork 🌟 100% Job Success Score ✅ 20+ Jobs completed 🏆 Hi, I am a Python Backend developer with 4 years of experience crafting robust and scalable web applications. I am passionate about turning ideas into reality, I specialize in building efficient and reliable backend systems using Django, Flask, and FastAPI. ✅ Why I am Unique? 🌟 Service Before Money 🌟 Full-Stack Proficiency 🌟 Uncompromising Communication 🌟 Weekend Support 🌟 Dedicated Freelancer 🌟 Attention to Detail 🌟 Problem Solver 🌟 Client-Centric Approach ✅ My Working Strategies I follow Agile methodologies and Waterfall models to ensure efficient project management and deliver high-quality results. I prioritize clear communication, code quality, and maintainability. My focus is on building scalable, secure, and well-documented applications. ✅ Technical Expertise 🔹 Python: Core programming language for backend development 🔹 Django, Flask, FastAPI: Python web frameworks for building robust applications 🔹 Databases: PostgreSQL, MySQL, SQLite 🔹 Cloud Platforms: AWS (EC2, S3, Lambda, RDS) 🔹 API Development: RESTful and GraphQL APIs using Open API specifications 🔹 Version Control: Git 🔹 Testing: Unit, integration, and API testing Ready to bring your project to life? Let's connect! Feel free to send me a message or check out my portfolio for more details. I am eager to discuss your project requirements and explore how I can help you achieve your goals. Thanks & Regards

I’m a software engineer specializing in AI/ML, Computer Vision, backend development, and deployment systems. I help startups and businesses turn ideas into working, scalable, production-ready products. My core expertise is: 1. AI / Machine Learning & Computer Vision Object detection, segmentation, YOLO models Image/video analysis and automation systems Model integration into real applications 2. Backend Development Django & Flask REST APIs PostgreSQL database design Secure and scalable backend architecture 3. Deployment & DevOps Docker, AWS, and cloud deployment CI/CD pipelines and server setup Production-ready system optimization 4. Frontend & Full Product Development React.js dashboards and web apps End-to-end MVP development API integration with frontend systems

I’m a Python developer with over 5 years of experience, working alongside my small but highly skilled team. Together, we specialize in delivering high-quality, scalable solutions tailored to our clients’ needs. ➥ Our Services Include: ● Blockchain Integration: Implementing Subgraph and Substream integrations for efficient blockchain data handling. ● Telegram Bot Development: Building custom Telegram bots using Aiogram, tailored to streamline workflows and enhance automation. ● API Development: Designing and implementing robust RESTful APIs for seamless data exchange. ● Data Services: Web scraping, data parsing, and aggregation from various sources. ● Image Processing & OCR: Parsing images with OpenCV and extracting text using TesseractOCR to digitize and transfer large volumes of data efficiently. ● Message Queues: Expertise in integrating RabbitMQ and Kafka for efficient task management and real-time data streaming. ● Custom SDK Solutions: Providing access EVM blockchains through SDK. Airdrop automation apps. ➥ Key Skills: ✚ Programming Languages & Frameworks Python | Django | Flask | FastAPI | Scrapy | Playwright | Selenium | Pyppeteer ✚ Image Processing & OCR OpenCV | TesseractOCR ✚ Database Technologies PostgreSQL | MongoDB | Redis ✚ Server & Infrastructure AWS | Docker | Shell | DigitalOcean | Mailu ✚ Messaging & Queues RabbitMQ | Kafka ✚ Blockchain Tools Subgraph | Substream | Web3 ✅ Notable Achievements: Scraping data from different websites and save data to database with optimization. Extracted and processed large datasets from scanned images using OpenCV and TesseractOCR, automating data entry tasks and significantly reducing manual effort. Transferred and digitized image-based data into structured formats for use in analytical and operational systems. Built a custom Telegram bot for task automation, improving workflow efficiency for multiple clients.

Businesses lose countless hours to manual work, slow reporting, and unreliable data collection. Broken scrapers, fragile automation, and non-scalable systems create ongoing operational costs. I help companies eliminate repetitive work, extract large-scale data reliably, and build automation systems that run smoothly in production — not quick scripts that fail after a few weeks. Core Services • Large-Scale Web Scraping & Data Extraction Advanced web scraping for dynamic websites, login-protected platforms, infinite scroll, pagination, and PDF data extraction. Built for stability, anti-blocking handling, and long-term reliability. • Python Business Process Automation End-to-end workflow automation that reduces manual effort in reporting, data processing, file handling, and integrations. Designed to save time and minimize human error. • Scalable Backend Development (Django & FastAPI) High-performance backend systems, REST APIs, and automation pipelines that scale with your business needs. Clean architecture, production-ready deployment. • Web Hosting, VPS Setup & Deployment Complete deployment support including VPS configuration, server optimization, Docker setup, CI/CD pipelines, and long-term system maintenance. Why Businesses Work With Me ✔ Production-grade automation systems (not fragile scripts) ✔ Focus on long-term stability and maintainability ✔ Strong experience with complex, high-volume data pipelines ✔ Clear communication and dependable delivery Proven Results ✔ 36 completed jobs with 100% Job Success ✔ Multiple long-term and repeat clients ✔ Trusted for mission-critical automation and scraping projects If your business needs reliable Python automation, scalable web scraping, or backend systems that run without constant fixes, we can discuss the right solution.