I build AI-powered web applications, personalized chatbots for businesses, scalable data pipelines, and intelligent automation systems. Specialized in LangChain, RAG, Next.js, FastAPI, and cloud deployment. 💬 AI Web & App Development (Full-Stack) Custom AI chatbots and intelligent web applications for SMBs: - AI Chatbots: Personalized customer service bots, knowledge bases, and conversational AI using LangChain, LangGraph, and RAG - AI Agent Development: Build autonomous AI agents with tool calling, multi-step reasoning, and decision-making capabilities - Multi-Agent Systems: Agent-to-agent communication for complex workflows, task delegation, and collaborative problem-solving - Personalized AI for SMBs: Custom AI solutions trained on your business data, documents, and knowledge base for intelligent automation - Frontend: Next.js, React.js, TypeScript with modern, responsive UI design - Backend: FastAPI, Flask, Django, Node.js Express for high-performance APIs - Vector Databases: Pinecone, Milvus, ChromaDB for semantic search and intelligent retrieval - AI Tools: Claude Code, Cursor IDE, GitHub Copilot for rapid development - Deployment: AWS, GCP, Azure, Digital Ocean with Docker and Kubernetes - Methodologies: Agile Scrum and Waterfall development workflows Perfect for: Customer support automation, sales chatbots, document Q&A, intelligent search, business process automation ⚡ Data Engineering & ETL Pipelines Production data infrastructure processing millions of records: - Pipelines: Apache Spark, Airflow, Dagster for automated ETL workflows - Streaming: Kafka for real-time data processing and event-driven systems - Batch Processing: AWS Glue, Google Dataflow, Azure Data Factory - Data Warehouses: BigQuery, Redshift, Snowflake with optimized schemas - Transformations: DBT models for data quality and business logic - Migration: Zero-downtime database migrations to cloud warehouses 🤖 AI & LLM Integration Production-ready AI systems with cutting-edge models: - LangChain: Build agents, workflows, and chains with LangGraph automation - RAG Systems: Vector embeddings and semantic search for intelligent retrieval - Models: Claude (Anthropic), GPT-4 (OpenAI), DeepSeek, Llama 3, Hugging Face - Observability: LangSmith and Langfuse for monitoring and debugging - APIs: AWS Bedrock, Azure OpenAI, Anthropic Claude integration - Fine-tuning: Custom model training for domain-specific tasks Use Cases: AI chatbots, document analysis, content generation, automation 🕷️ Web Scraping & Data Extraction Extract structured data from complex websites: - Platforms: Facebook, TikTok, LinkedIn, Shopify, HubSpot, QuickBooks, SaaS platforms - Tools: Scrapy, Playwright, Selenium, Puppeteer, BeautifulSoup, Crawl4AI - Anti-Bot: Resolve Cloudflare, Captcha, rate limiting with proven techniques - Automation: Scheduled scraping with monitoring and proxy rotation - Output: Clean CSV, JSON, SQL databases, or API integration ☁️ Cloud Architecture & DevOps Scalable cloud infrastructure and deployment: - AWS: Lambda, ECS Fargate, Glue, Athena, Redshift, EventBridge, SNS, SQS, EMR - GCP: BigQuery, Cloud Run, Dataflow, Dataproc, Cloud Storage, Firestore - Azure: Data Factory, Power BI, Databricks, Blob Storage, Cosmos DB - DevOps: Docker, Kubernetes, Terraform, GitLab CI/CD, GitHub Actions - Monitoring: CloudWatch, Datadog, Prometheus, Grafana 💻 Core Technologies: - AI & ML: LangChain, LangGraph, OpenAI API, Claude API, DeepSeek, Llama, Hugging Face, RAG, vector embeddings, AI agents, multi-agent systems - Frontend: Next.js, React.js, TypeScript, Tailwind CSS - Backend: FastAPI, Flask, Django, Node.js, Express.js, GraphQL - Databases: Pinecone, Milvus, ChromaDB, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, DynamoDB - Big Data: Apache Spark, Kafka, Hadoop, Hive, Airflow, Dagster, DBT - Scraping: Scrapy, Playwright, Selenium, Puppeteer, Crawl4AI - Cloud: AWS, GCP, Azure, Digital Ocean - DevOps: Docker, Kubernetes, Terraform, Git, CI/CD - Languages: Python, SQL, JavaScript, TypeScript, R, Java, Bash - Tools: Claude Code, Cursor, GitHub Copilot - Management: Agile, Scrum, Waterfall, JIRA, Trello ✅ Why Hire Me: - Fast Delivery: AI-assisted development for 2-3x faster results - Production Quality: Clean, documented, maintainable code - Top Rated Plus: 100% Job Success Score, 5+ years experience - Full-Stack: Handle frontend, backend, database, and deployment - Clear Communication: Regular updates and transparent workflow Let's build your AI solution. Message me to discuss your project!

⏩ 𝐀𝐕𝐀𝐈𝐋𝐀𝐁𝐋𝐄 𝐓𝐎𝐃𝐀𝐘: Updated daily | May 6 𝐒𝐞𝐧𝐝 𝐦𝐞 𝐚𝐧 𝐢𝐧𝐯𝐢𝐭𝐞, 𝐚𝐧𝐝 𝐈’𝐥𝐥 𝐠𝐢𝐯𝐞 𝐲𝐨𝐮 𝐚 𝐅𝐑𝐄𝐄 𝟑𝟎-𝐦𝐢𝐧𝐮𝐭𝐞 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧. ⭐️⭐️⭐️⭐️⭐️ 𝟓.𝟎 𝐫𝐚𝐭𝐢𝐧𝐠 𝐚𝐜𝐫𝐨𝐬𝐬 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐔𝐩𝐰𝐨𝐫𝐤 𝐜𝐨𝐧𝐭𝐫𝐚𝐜𝐭𝐬 - $200K+ delivered via Upwork; $2M+ in external engagements - 25% cost reduction via cloud automation - 20x throughput improvement for enterprise client platforms - Trusted by clients in healthcare, finance, and biotech With 20+ years of experience, I deliver scalable cloud, data, web, and mobile solutions that reduce costs and unlock business performance. As Co-Founder & CTO of Infopoly, I partner with decision-makers to build systems that are strategic, secure, and future-proof. From startups to enterprise, I help you turn complexity into clarity - and strategy into action. ✅ What I Do - Combine deep technical expertise with business alignment to drive real results - Collaborate directly with C-level and product teams - Deliver systems that scale, perform, and save money 🧠 Core Services - Cloud Optimization (AWS, Azure, GCP): Build secure, high-performance environments - Data Analytics & Visualization: Actionable insights via Power BI, Tableau - Full-Stack Web & Mobile Development: React, JS/TS, Python, Flutter, React Native - API Development: FastAPI, NestJS - Agile Leadership: Cross-functional team delivery, sprint planning, execution - Technology Strategy: Aligning platforms with real business goals 💬 Client Testimonial “Infopoly enabled a technology step change for EptivA, automating algorithms and modernizing infrastructure. Their cloud-first strategy achieved 20x higher throughput, accelerating market success.” 📅 Let’s connect. Book your free 30-minute call - we’ll build a roadmap to transform your tech and scale your results.

Expert-Vetted AI & Full-Stack Engineer | 100% Job Success | 30+ Projects | $170K+ Earned Past Experience : Goldman Sachs, Morgan Stanley, KPMG, Oracle & Others I help startups and enterprises ship AI products and the backend systems behind them — from RAG chatbots and LLM integrations to scalable APIs, data pipelines, and production deployments. 10+ years building software. 30+ Upwork projects, all 5-star rated. Expert-Vetted (top 1%). One engineer who can own the problem from architecture to live product — clear communication, on-time delivery, code that scales. WHAT I BUILD AI & LLM • RAG chatbots and knowledge assistants over PDFs, docs, wikis, Notion, and internal APIs • LLM integration with OpenAI (GPT-4o, GPT-4), Anthropic Claude, and Google Gemini • AI agents with tool use — CRM, email, Slack, webhooks — plus guardrails and human approval • Streaming chat UIs with conversation memory, citations, and admin dashboards • LangChain, LlamaIndex, vector search (Pinecone, pgvector, Chroma, Weaviate, Qdrant) Backend & APIs • REST and GraphQL APIs in Python (FastAPI, Django, Flask), Node.js, and Java/Spring Boot • Microservices, event-driven architecture, authentication, and third-party integrations • PostgreSQL, Redis, MongoDB — schema design, optimization, migrations • Data pipelines with Kafka, Spark, and Airflow for analytics and ETL Frontend & Cloud • React, TypeScript, Next.js, Angular — SaaS dashboards and polished product UIs • AWS, GCP, Azure — Docker, CI/CD, monitoring, production hardening WHY CLIENTS HIRE ME Most AI projects break at the seams — weak APIs, messy data ingestion, no real UI, nothing deployed. I deliver the full path: data in → embeddings & retrieval → LLM → API → frontend → cloud.

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

I’m a Certified 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with a passion for turning complex data into actionable insights. With a strong focus on GCP & Azure AI solutions, I specialize in building scalable, efficient, and impactful data-driven systems. From designing Big Data architectures to crafting seamless PySpark pipelines, I empower businesses to make smarter decisions with confidence. 🌟𝐖𝐡𝐚𝐭 𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞 𝐈𝐧🌟 📊 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 ➜ Designing and optimizing ETL pipelines for efficient data transformation. ➜ Building robust Big Data solutions using tools like PySpark and Hadoop. ➜ Integrating data sources for real-time and batch processing workflows. ☁️ 𝐂𝐥𝐨𝐮𝐝-𝐁𝐚𝐬𝐞𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ➜ Implementing GCP data services like BigQuery, Dataflow, and Pub/Sub. ➜ Leveraging Azure AI tools to develop intelligent applications. ➜ Designing scalable cloud architectures for seamless performance. 🤖 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ➜ Developing predictive models and AI-driven solutions tailored to business needs. ➜ Deploying AI models into production environments with ease. ➜ Enabling advanced analytics to uncover hidden patterns and trends. 📈 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 ➜ Translating raw data into meaningful dashboards and reports. ➜ Utilizing Python libraries for in-depth data analysis and exploration. ➜ Providing actionable insights to drive business growth and strategy. 🌟 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐌𝐞? ✔️ Tailored Solutions: I customize every project to meet your unique requirements. ✔️ Proven Expertise: A solid track record of delivering impactful data solutions. ✔️ Clear Communication: Regular updates and open collaboration at every stage. ✔️ On-Time Delivery: Reliable and efficient work you can count on. 𝐓𝐨𝐨𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 💻 PySpark, Hadoop, and BigQuery ☁️ GCP & Azure AI Solutions 📈 Python for Data Analysis and Automation 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐆𝐞𝐭: ✅ High-quality work with exceptional attention to detail. ✅ 100% satisfaction guaranteed. ✅ Comprehensive documentation for all deliverables. ✅ Clear guidance for smooth implementation. With years of experience in data engineering and cloud technologies, I ensure results that are both efficient and transformative. Let’s collaborate to harness the power of your data and unlock new opportunities! 💡 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱? 𝗟𝗲𝘁’𝘀 𝗰𝗵𝗮𝘁 𝗮𝗻𝗱 𝗯𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝘁𝗼 𝗹𝗶𝗳𝗲! 😊

🎓 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 of experience and hands-on expertise in Designing and Implementing Data Solutions. 🔥 4+ Startup Tech Partnerships ⭐️ 100% Job Success Score 🏆 In the top 3% of all Upwork freelancers with Top Rated Plus 🏆 ✅ Excellent communication skills and fluent English If you’re reading my profile, you’ve got a challenge you need to solve and you are looking for someone with a broad skill set, minimal oversight and ownership mentality, then I’m your go-to expert. 📞 Connect with me today and let's discuss how we can turn your ideas into reality with creative and strategic partnership.📞 ⚡️Invite me to your job on Upwork to schedule a complimentary consultation call to discuss in detail the value and strength I can bring to your business, and how we can create a tailored solution for your exact needs. 𝙄 𝙝𝙖𝙫𝙚 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙞𝙣 𝙩𝙝𝙚 𝙛𝙤𝙡𝙡𝙤𝙬𝙞𝙣𝙜 𝙖𝙧𝙚𝙖𝙨, 𝙩𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙩𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨: ► BIG DATA & DATA ENGINEERING Apache Spark, Hadoop, MapReduce, YARN, Pig, Hive, Kudu, HBase, Impala, Delta Lake, Oozie, NiFi, Kafka, Airflow, Kylin, Druid, Flink, Presto, Drill, Phoenix, Ambari, Ranger, Cloudera Manager, Zookeeper, Spark-Streaming, Streamsets, Snowflake ► ARTIFICIAL INTELLIGENCE PyTorch, TensorFlow, JAX, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, spaCy, NLTK, OpenCV, PIL, torchvision, LangChain, LlamaIndex, AutoGPT, CrewAI, N8N ► CLOUD AWS -- EC2, S3, RDS, EMR, Redshift, Glue, Lambda, VPC, DynamoDB, Athena, Kinesis, SageMaker, Bedrock GCP -- BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Data Fusion, Vertex AI Azure -- Data Factory, Synapse. HDInsight, ML Studio, Cognitive Services ► ANALYTICS, BI & DATA VISUALIZATION Tableau, Power BI, QuickSight, SSAS, SSMS, Superset, Grafana, Looker ► DATABASE SQL, NoSQL, Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, PL/SQL, HBase, Cassandra ► OTHER SKILLS & TOOLS MLflow, Kubeflow, Docker, Kubernetes, Ansible, Python, FastAPI. 𝙒𝙝𝙚𝙣 𝙮𝙤𝙪 𝙝𝙞𝙧𝙚 𝙢𝙚, 𝙮𝙤𝙪 𝙘𝙖𝙣 𝙚𝙭𝙥𝙚𝙘𝙩: 🔸 Outstanding results and service 🔸 High-quality output on time, every time 🔸 Strong communication 🔸 Regular & ongoing updates Your complete satisfaction is what I aim for, so the job is not complete until you are satisfied! Whether you are a 𝗦𝘁𝗮𝗿𝘁𝘂𝗽, 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗿 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 your next 𝗠𝗩𝗣, you will get 𝗛𝗶𝗴𝗵-𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 at an 𝗔𝗳𝗳𝗼𝗿𝗱𝗮𝗯𝗹𝗲 𝗖𝗼𝘀𝘁, 𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱. I hope you become one of my many happy clients. Reach out by inviting me to your project. I look forward to it! All the best, Anas ⭐️⭐️⭐️⭐️⭐️ 🗣❝ Muhammad is really great with AWS services and knows how to optimize each so that it runs at peak performance while also minimizing costs. Highly recommended! ❞ ⭐️⭐️⭐️⭐️⭐️ 🗣❝ You would be silly not to hire Anas, he is fantastic at data visualizations and data transformation. ❞ 🗣❝ Incredibly talented data architect, the results thus far have exceeded our expectations and we will continue to use Anas for our data projects. ❞ ⭐️⭐️⭐️⭐️⭐️ 🗣❝ The skills and expertise of Anas exceeded my expectations. The job was delivered ahead of schedule. He was enthusiastic and professional and went the extra mile to make sure the job was completed to our liking with the tech that we were already using. I enjoyed working with him and will be reaching out for any additional help in the future. I would definitely recommend Anas as an expert resource. ❞ ⭐️⭐️⭐️⭐️⭐️ 🗣❝ Muhammad was a great resource and did more than expected! I loved his communication skills and always kept me up to date. I would definitely rehire again. ❞ ⭐️⭐️⭐️⭐️⭐️ 🗣❝ Anas is simply the best person I have ever come across. Apart from being an exceptional tech genius, he is a man of utmost stature. We blasted off with our startup, high on dreams and code. We were mere steps from the MVP. Then, pandemic crash. Team bailed, funding dried up. Me and my partner were stranded and dread gnawed at us. A hefty chunk of cash, Anas and his team's livelihood, hung in the balance, It felt like a betrayal. We scheduled a meeting with Anas to let him know we were quitting and request to repay him gradually over a year, he heard us out. Then, something magical happened. A smile. "Forget it," he said, not a flicker of doubt in his voice. "The project matters. Let's make it happen!" We were floored. This guy, owed a small fortune, just waved it away? Not only that, he offered to keep building, even pulled his team in to replace our vanished crew. As he spoke, his passion was a spark that reignited us. He believed. In us. In our dream. In what he had developed so far. That's the day Anas became our partner. Not just a contractor, but a brother in arms. Our success story owes its spark not to our own leap of faith, but from the guy who had every reason to walk away. Thanks, Anas, for believing when we couldn't.❞

🔹 Designed and developed the backend systems, content generation agents and RAG-based conversational chatbots through Langchain and OpenAI at a content generation start-up, pockla.io 🔹 Engineered the no-code Computer Vision Platform to build, monitor and maintain Computer Vision based AI models at sixsense.ai.(Django, React and PostgreSQL) 🔹 Constructed backtests, quant trading algorithms, trading bots, rule-based portfolios and pine scripts for at least 20 clients on Upwork and for Morningstar 🔹 Created custom AI models by training on images and fine-tuning models for a computer vision start-up. sixsense.ai 🔹 Designed and executed the universe construction, portfolio construction and backtesting framework at Morningstar Indexes. 🔹 Developed full-stack AWS/GCP/Azure applications at Sustainergy, Pockla, Sixsense and WriteScore. 🔹 Setup algorithmic trading systems for stocks/crypto/options/futures in Zerodha | TradingView | IBKR | Binance | CCXT) 🔹 Set up big data pipelines, ETL and data warehouses. (S3, Glue, Spark, Postgres, Kafka) 🔹 Build UI designs, React/Angular website, Flutter Android and iOS Apps 🔹 Set up the CI\CD pipeline in Jenkins/Github actions through Docker and Terraform and deploy them to AWS/GCP/Azure through Terraform 🔹 Collaborated on the event-based architecture setup through Kafka, AWS DynamoDB and AWS ECS. 🔹 Have worked and integrated with different workflow systems like Stepfunction, Airflow and JBPM. 🔹 I have a master's in Physics and a bachelor's in Mechanical Engineering 🔹 I love tinkering with new technologies and learning new stuff. ★ Below are my skills. ★ 🔹 Programming Languages 🔹 ✤ Python ✤ Java ✤ Dart ✤ Javascript ✤ C ✤ C++ ✤ Dart 🔹 AI 🔹 ✤ Open AI APIs ✤ LLM ✤ DALL-E ✤ ChatGPT ✤ Vicuna ✤ GPT4All 🔹 Frameworks 🔹 ✤ Django ✤ Spring Boot 🔹 Quant 🔹 ✤ Backtesting ✤ Pine Script ✤ Trading View ✤ Portfolio Construction ✤ Portfolio Calculation ✤ Trading algorithm - Algo trading ✤ Trading bot ✤ Data extraction of Stocks / Crypto / Mutual Funds / Forex ✤ Yahoo Finance 🔹 Cloud services 🔹 ✤ AWS - Amazon Web Services ✤ GCP - Google Cloud Platform ✤ Azure - Microsoft ✤ Linode 🔹 Database 🔹 ✤ SQL ✤ Stored procedures ✤ PostgreSQL - PostGIS ✤ Mongo DB ✤ Sql Server ✤ Dynamo DB ✤ Mysql ✤ Redshift ✤ SQLite ✤ Clickhouse 🔹 Technology 🔹 ✤ Apache Kafka ✤ Apache Flink ✤ Apache Spark (pyspark) ✤ Drools ✤ API / Rest ✤ Hadoop 🔹 Front-end / UI 🔹 ✤ React ✤ Flutter ✤ React Native ✤ HTML ✤ CSS 🔹 Message queues 🔹 ✤ Redis ✤ Celery ✤ RabbitMQ 🔹 Workflow 🔹 ✤ Stepfunction ✤ Airflow ✤ JBPM 🔹 AWS Services 🔹 ✤ Lambda ✤ S3 - Simple Storage Service ✤ ECS - Fargate ✤ EC2 ✤ ECR ✤ Cloudwatch Logs ✤ Cloudwatch Events ✤ EventBridge ✤ SNS - Simple Notification Service ✤ SQS - Simple Queue Service ✤ Sagemaker ✤ AWS Glue ✤ Athena ✤ Stepfunction ✤ AWS DMS ✤ Application Load Balancer ✤ AWS RDS (Postgres, MySql) 🔹 Data Science 🔹 ✤ Data Mining ✤ Data Engineering ✤ Data Scraping ✤ Data visualization ✤ Statistics ✤ Machine Learning ✤ Computer Vision 🔹 DevOps 🔹 ✤ Jenkins ✤ Docker ✤ Terraform ✤ Github Actions ✤ Gitlab ✤ Splunk ✤ GIT ✤ Unit testing ✤ Integration testing 🔹 Project Management 🔹 ✤ AGILE ✤ JIRA ✤ Wiki ✤ Confluence ✤ Airtable 🔹 Operating Systems(OS) 🔹 ✤ Windows ✤ Linux ✤ MacOS \ Mac ✤ Ubuntu ✤ Unix 🔹 Domain 🔹 ✤ FinTech ✤ SaaS ✤ Manufacturing ✤ Semiconductor 🔹 Thank you for reading till the end :) 🔹 Let's build something great together and have fun on the journey!

✨ Seasoned software professional with 20+ years of experience in end-to-end software development, including 8+ years specializing in Big Data technologies and cloud-based solutions. Proven expertise in building scalable, high-performance data platforms using Apache Spark, Hadoop, Hive, Cassandra, and programming in Scala, Python, Java and C++. ✨ I focus on designing robust, enterprise-grade Big Data and Data Engineering architectures on GCP, AWS, and Azure, both in on-prem and cloud environments. My role involves solution architecture, technical leadership, and hands-on development of critical components. ✨ I am passionate about leveraging my experience to build cutting-edge data and AI solutions. Open to senior technical roles, consulting opportunities, and innovative startup environments. 🔹 Keen eye on scalability, sustainability of the solution 🔹 Can come up with maintainable & good object-oriented designs quickly 🔹 Highly experienced in seamlessly working with remote teams effectively 🔹 Aptitude for recognizing business requirements and solving the root cause of the problem 🔹 Can quickly learn new technologies 🔹 Transparency, Dedication, Qualtity and Satisfaction Guaranteed Sound experience in following technology stacks: ✨ Big Data: Apache Spark, Spark Streaming, HDFS, Hadoop MR, Hive, Apache Kafka, Cassandra, Google Cloud Platform (Dataproc, Cloud storage, Cloud Function, Datastore/Firestore, Pub/Sub), Cloudera Hadoop 5.x ✨ Languages: Scala, Python, Java, C++, C, Scala with Akka and Play frameworks ✨ Build Tools: Sbt, Maven ✨ Databases: Postgres, Oracle, MongoDB/CosmosDB ✨ GCP Services: GCS, DataProc, Cloud functions, Pub/Sub, Data-store, BigQuery ✨ AWS Services: S3, VM, VM Auto-scaling Group, EMR, S3 Java APIs, Redshift, MongoDB ✨ Azure Services: Blob, VM, VM scale-set, Blob Java APIs, Synapse, CosmosDB ✨ Other Tools/Technologies: Kubernetes, Dockerization, Terraform Worked with different types of Input & Storage formats: CSV, XML, JSON file, Mongodb, Parquet, ORC

💼 Top-Rated Data Architect & Engineer | $30K+ Earned | 11+ Years in Cloud Data Platforms & ETL Solutions I'm a senior-level Data Architect and Data Engineer with over a decade of experience designing, building, and managing enterprise-grade data platforms. Whether you need help crafting a long-term data strategy, optimizing ETL pipelines, or developing hands-on workflows in Azure, AWS, or Cloudera — I can support you across the full data lifecycle. My expertise spans cloud migration, big data pipelines, data lakes, data warehousing, and dashboarding. I work comfortably in both strategic design and technical delivery roles. 🔧 My Expertise Includes: Cloud Platforms: Azure (ADF, Synapse, ADLS, Databricks), AWS (Glue, EMR, Redshift, DMS) Data Engineering: Spark, NiFi, Hive, Airflow, Sqoop, SQL, Parquet/ORC ETL/ELT Development: Metadata-driven pipelines, workflow orchestration, automation BI & Reporting: Power BI dashboards, data modeling (Star/Snowflake), executive KPIs Governance & Security: Data lineage, RBAC, encryption in transit & at rest Automation: Azure DevOps, Flask, PowerApps for workflow optimization 📌 Project Highlights: 🔹 ABL Bank – Architected and developed a Cloudera-based data lake with 20+ sources. Delivered Spark-based ETL jobs and Power BI dashboards for enterprise reporting. 🔹 Emirates Airlines – Built secure pipelines in ADF + Synapse, migrating data to Azure from legacy systems and enabling scalable reporting for aviation operations. 🔹 Majid Al Futtaim – Worked as a Data Engineer using Databricks and ADF to unify data from multiple retail systems and optimize performance. 🔹 Regeneron Pharma – Developed automated Airflow + Spark pipelines to analyze single-cell gene expression data on AWS. Reduced manual workload by 60%. 🔹 Bank Alfalah – Built dynamic ETL frameworks with Apache Spark, NiFi, and Hive. Delivered customer 360 dashboards using Power BI and unified data models. 🏆 Why Work With Me: Full-cycle capability: Architecture → Engineering → Visualization Deep hands-on experience in pipeline development and optimization Strong communication skills to engage with dev teams, product owners, and execs Trusted by large banks, airlines, pharma firms, and retailers 📩 Whether you need a reliable data engineer to build and maintain your pipelines or a strategic architect to lead your cloud data platform journey — I'm here to help. Let’s talk about how I can support your next project.

🔹 I build data platforms that handle petabytes of data, millions of events, and ensure zero-tolerance downtime. I’m a senior data engineer and cloud architect with over a decade of experience building production-grade, petabyte-scale data platforms for high-growth, data-intensive businesses. I specialize in real-time analytics, low-latency systems, and cloud cost optimization — the kind of work that breaks if done wrong and gets noticed by leadership when done right. 🚀 Proven Business Impact - +18% revenue uplift by detecting and blocking high-risk fraud users in a real-time data platform - Less than 30ms read/write latency for high-DAU applications handling millions of events per day - Production-grade pipelines supporting analytics & ML with strict data quality guarantees What I’m Typically Brought In For - Stabilizing broken or unreliable data pipelines - Designing real-time or near-real-time architectures - Reducing Snowflake/cloud warehouse costs Core Stack: - Cloud & Warehousing: AWS, GCP, Snowflake, Databricks - Data Engineering: Spark, Kafka, Airflow, dbt, Terraform - Real-Time Systems: Kafka, Flink, DynamoDB - Architectures: Data Lakes, Warehouses, Lakehouses How I Work I ship systems that survive production, scale, and audits. That means clear scope, measurable outcomes, and no “hope it works” engineering. 📌 If your data platform is a bottleneck or a liability, let’s fix it properly. Message me to discuss your system and constraints.