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Are you struggling with fragmented data, unreliable pipelines, inconsistent metrics, or manual processes that slow down decision-making? I help businesses turn raw data into scalable pipelines, trusted analytics, and intelligent systems by combining data engineering, analytics, and machine learning / AI solutions into production-ready workflows that drive real business impact. With 5+ years of experience across data engineering, analytics, and AI, I specialize in building solutions that collect, transform, analyze, and automate data, enabling faster, smarter decisions. WHAT I HELP YOU SOLVE - Data scattered across multiple sources with no single source of truth - Unreliable ETL pipelines or workflows that fail as data grows - Dashboards and reports that don’t reflect real business performance - Manual or repetitive processes that slow operations - Ideas for machine learning or AI that never reach production WHAT I CAN DO FOR YOU ✅ DATA ENGINEERING & ETL/ELT PIPELINES - Build and optimize ETL pipelines to ensure your data is clean, reliable, and always available. - Design cloud-based data lakes and warehouses (AWS / GCP) - Process large-scale data using Spark / PySpark - Orchestrate workflows with Airflow and event-driven automation ✅ ANALYTICS & DATA MODELING - Build analytics-ready data models (facts, dimensions, metrics) - Standardize KPIs and business logic across teams - Create dashboards and reporting layers that stakeholders trust - Perform exploratory data analysis, trend detection, and insights generation ✅ MACHINE LEARNING & AI SOLUTIONS - Build and deploy machine learning models for predictions, scoring, or classification - Develop AI agents for automation, workflow optimization, or decision support - Implement NLP pipelines for text processing, summarization, and extraction - Feature engineering, model evaluation, and productionization - Integrate ML/AI models into pipelines, dashboards, and applications ✅ MICROSERVICES, APIs & AUTOMATION - Develop REST APIs and standalone microservices using FastAPI - Integrate data, analytics, and ML pipelines into business applications - Automate repetitive workflows and reporting tasks TOOLS & TECHNOLOGIES - Python, SQL, DBT, Spark / PySpark - AWS & GCP (S3, Lambda, Glue, Redshift, BigQuery, Dataflow) - Airflow, Docker, Kubernetes, Terraform, CI/CD - Power BI, Tableau, and other BI tools - AI / ML frameworks: scikit-learn, XGBoost, TensorFlow, LangChain, Hugging Face Transformers, OpenAI APIs, other LLM & NLP tools - Web / API scraping (Selenium, BeautifulSoup) PROVEN BUSINESS IMPACT - Reduced ETL pipeline CPU usage from ~85% to ~25%, improving scalability and reliability - Led Salesforce CRM data migration to accelerate onboarding - Built automated customer health scoring system critical to retention strategy - Delivered dashboards and analytics layers that became daily tools for leadership - Implemented ML models and AI agents to automate decision-making and optimize workflows WHY WORK WITH ME ** Strong blend of data engineering, analytics, and AI skills ** Production-first mindset — I deliver solutions that work reliably in real-world systems ** Focused on business impact, not just technical delivery ** Clear communication, realistic timelines, and dependable delivery ** Comfortable owning projects end-to-end, from data ingestion to analytics and AI-driven outcomes If you’re looking for a partner who can turn messy data into reliable pipelines, actionable insights, and intelligent systems, I’m ready to help.

I’m a Senior Backend and Platform Engineer with 7+ years of experience building production software, cloud infrastructure, microservices, and data platforms. My main expertise is Python backend development with FastAPI and Flask, combined with Kubernetes, Azure, Terraform, Docker, CI/CD, and distributed systems. I can help you build a backend service from scratch, modernize an existing system, deploy applications to Kubernetes, automate your infrastructure, or build internal platforms and developer tooling. My core areas of expertise include: * Python backend development with FastAPI and Flask * REST APIs and microservices * Kubernetes and AKS * Azure cloud infrastructure * Terraform and infrastructure as code * Docker, Helm and ArgoCD * CI/CD with GitHub Actions and Azure DevOps * PostgreSQL, Redis, Kafka and other distributed systems * Databricks and PySpark * Data pipelines and data platforms * AI-powered applications and internal tools * Ollama, LLM applications, RAG and vector databases * Performance and cloud cost optimization Some examples of what I have built: * Bootstrapped an AKS-based data platform from 0 to 1, including private networking, Azure Container Registry, Key Vault, DNS, ingress, monitoring and GitOps deployment. * Built multiple production Python microservices using FastAPI and Flask and deployed them to Kubernetes. * Built an AI-enabled Internal Developer Portal for onboarding, access requests, compute requests and internal tooling. * Built a self-hosted AI agent system using Ollama and vector search for troubleshooting and internal documentation. * Developed a Python data-loading framework on top of dlt, enabling YAML-driven data ingestion between different sources and destinations. * Built CI/CD infrastructure using Azure DevOps, GitHub Actions, ArgoCD and Databricks Asset Bundles. * Built private PyPI infrastructure integrated with Databricks network isolation, removing a major manual package installation bottleneck. * Optimized Databricks infrastructure and workloads, saving over €100,000 per year and reducing development costs by 97% in one project. * Reduced Azure Log Analytics costs by approximately €4,000 per month through ingestion optimization. * Optimized a Python document-processing system using multiprocessing, reducing processing time by 10x. * Optimized a financial document-processing pipeline and reduced total processing time by approximately two thirds. I’m comfortable working across the entire engineering lifecycle: understanding requirements, designing the architecture, writing the application, provisioning infrastructure, setting up CI/CD, deploying to production, adding monitoring and documentation, and improving the system afterwards. If you need a Python engineer who can also understand the infrastructure and deployment side of the system, I can help.

Lets harness the power of your data with cutting-edge solutions. With a robust background in Data Engineering, Python Automation, and Web Scraping, I am now available to offer my high-impact services on Upwork. Having driven significant innovations in top multinational companies, I’m here to provide you with top-tier freelance expertise. Why Choose Me? 🔹 Proven Expertise: After working on the cutting edge technologies & projects, I am transitioning from technical role at IBM to offer my specialized skills on Upwork. My experience spans data engineering, scripting, and automation, ensuring your projects benefit from industry-leading practices. 🔹 Advanced Data Engineering: Expert in creating and optimizing data pipelines and data warehouses using IBM DataStage, AWS Redshift, and Databricks. My hands-on experience ensures your data systems are robust, scalable, and efficient. 🔹 Powerful Python Automation: Skilled in developing Python scripts for automation, data processing, and integration tasks. I excel at building automated workflows that save time and enhance efficiency. 🔹 Efficient Data Scraping: Proficient with tools like ParseHub, Scrapy, OctoParse, and Beautiful Soup for web scraping and data extraction. I turn complex, unstructured data into actionable insights that drive business decisions. 🔹 Cutting-Edge AI and ML: Experience in AI model development for autonomous vehicles, including road detection and decision-making algorithms. My work demonstrates a strong capability in applying machine learning techniques to real-world problems. 🔹 Impactful Data Visualization: Expertise in creating insightful dashboards and reports using Power BI. I translate complex data into clear, actionable visualizations to support your business decisions. My Core Services Include: ✅Data Engineering: Designing, developing, and managing data pipelines and warehouses. ✅Python Automation: Crafting scripts for automating tasks, data processing, and system integration. ✅Web Scraping: Extracting and analyzing web data to provide valuable business insights. ✅AI & Machine Learning: Developing and deploying models for advanced data analysis and automation. ✅Data Visualization: Building dynamic dashboards and reports to visualize data effectively. Let’s collaborate to leverage your data for strategic growth. Contact me to discuss how I can help streamline your data processes, enhance automation, and provide actionable insights.

Hello there! 👋 I'm Bilal Ahmed, a skilled 🤖 Machine Learning Engineer with expertise in 📷 Computer Vision and 📝 NLP. With over 3 years of experience, I have successfully delivered numerous projects in these fields, using advanced machine learning and deep learning techniques. Besides, I'm proficient in 💻 backend and frontend development, with a focus on 🐍 Django, React, and Next.js. I also have a solid understanding of API development, microservices, and databases (both relational and non-relational). My experience in 🐍 Python scripting, tasks, data structure implementation, regression, classification, and several other areas of AI and machine learning has enabled me to create ethical AI solutions. Moreover, I have hands-on experience in 📷 Computer Vision and Image Processing techniques such as Object Detection 🔍, Image Recognition 🖼️, and Image Classification 🌟, using Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. I'm always eager to discuss your next project, so feel free to contact me anytime. Let's build something awesome together! 🤝

🏆 Expert-Vetted - Top 1% on Upwork ✅ Top Rated Plus | 100% Job Success ⚙️ 6+ Years in Production AI & Data Engineering I'm Atique, an AI and Data Engineer who builds LLM systems on top of infrastructure I design and run myself. Most AI projects don't fail on model choice. They fail on the data underneath: documents that won't parse, pipelines that break under real volume, retrieval that can't cite its source. That's the half most AI freelancers hand back to you. It's the half I specialize in. I currently lead the data platform at a Berlin fintech, running Redshift, dbt and Dagster in production for a full analytics team, while delivering AI engagements in legal tech, IT operations, and e-commerce. ⚡ Core Services & Expertise 🔹 RAG & Retrieval Systems Hybrid semantic and keyword search, document and knowledge-base Q&A, answers grounded in source text with page-level citations, vector store architecture, retrieval evaluation. 🔹 AI Agents & Agentic Workflows Autonomous multi-agent systems with tool use, defined escalation paths to humans, and state-machine-backed flows rather than one large prompt. CrewAI, LangGraph, LiteLLM. 🔹 Document AI & OCR PDF and scanned document ingestion, structured extraction into typed schemas, multilingual and non-Latin script handling, entity and timeline extraction, chat over document sets. 🔹 AI Automation n8n, Zapier and Make workflows, plus custom Python orchestration. API and systems integration, manual-work elimination, delivered with SOPs and documentation. 🔹 Production Data Engineering Warehouse design and delivery on Redshift and BigQuery, dbt modelling, Dagster orchestration, zero-ETL and DMS migrations, RBAC, cost and query optimization. The layer that makes AI features reliable instead of demo-only. 🔹 Natural-Language Analytics MCP servers and text-to-SQL over live warehouses, so business teams query data in plain English instead of filing ticket requests. 📌 Selected Work Legal case document platform: court PDF ingestion, extraction of parties and event chronologies, and grounded chat over full case files with source citations. Autonomous IT incident response platform: agents that triage, diagnose and escalate on defined conditions. CrewAI, LangGraph, LiteLLM. MCP server over a production Redshift warehouse, now used daily by a data team in place of writing SQL. Invoice processing automation across BILL API, vision-model extraction, Gmail, Drive, Asana and Sheets. Production Redshift platform with dbt and Dagster serving analysts and data scientists, including zero-ETL integration and live incident recovery. Forecasting and optimization systems in energy: IoT battery control with model predictive control, PV production forecasting, electricity price forecasting. 🛠️ Tech Stack LLMs & Agents: Claude, GPT, open-source models, LangChain, LlamaIndex, LangGraph, CrewAI, LiteLLM, MCP RAG Stack: Vector databases, hybrid retrieval, embeddings, chunking strategies, citation grounding LLM Ops: Prompt engineering, structured outputs, evaluation harnesses, guardrails, refusal handling Dev & Infra: Python, FastAPI, Streamlit, Docker, CI/CD Data Pipelines: SQL, dbt, Dagster, Airflow, Redshift, BigQuery, Postgres, MySQL Cloud: AWS (Redshift, S3, Batch, ECS, DMS, Textract, Lambda), GCP (BigQuery, Cloud SQL) Automation: n8n, Zapier, Make 🤝 How I Work I scope before I build, and I tell you when a brief is underpriced or a requirement won't survive real data. Out of scope goes in writing, so it isn't an argument at invoice time. Acceptance criteria are numbers, not adjectives. End to end: scoping, build, deployment, documentation, handover. If your project is mostly a prompt, you don't need me. If it involves real documents, real data volumes, or a system that has to keep running after handover, that's the work I do. Click "Message" and tell me what you're building. Keywords associated with my skill set: AI Engineer, AI Agent Developer, LLM Developer, RAG Developer, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models, GPT, Claude, LangChain, LlamaIndex, LangGraph, CrewAI, LiteLLM, MCP, Retrieval-Augmented Generation, Semantic Search, Vector Databases, Embeddings, Prompt Engineering, LLM Evaluation, Chatbot Developer, Document AI, OCR, Document Extraction, Intelligent Document Processing, AI Automation, n8n, Zapier, Make, Workflow Automation, API Integration, Data Engineer, Data Pipelines, ETL, ELT, dbt, Dagster, Airflow, Redshift, BigQuery, Snowflake, SQL, Python, FastAPI, AWS, GCP, Data Warehouse, Analytics Engineering, Text-to-SQL, Machine Learning, Forecasting, MLOps, Fintech, Legal Tech, E-commerce

Talented engineer who travels a lot also indoor rock climbing trainer . Responsible and punctual girl. I enjoy photography. I can do most of the stuff in perfect way 😊