🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 | 10+ 𝗬𝗲𝗮𝗿𝘀 𝗢𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 | 100+ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱 𝗛𝗲𝗹𝗽𝗶𝗻𝗴 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗱𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻, 𝗮𝗻𝗱 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀— from machine learning models, AI models and LLM applications to data engineering, backend APIs, automation, and full-stack SaaS platform developments—designed for performance, reliability, and growth. With expertise in AI/ML, data engineering, dashboard, data visualization, computer vision, deep learning, predictive modeling, data analytics, and modern AI technologies, I build scalable solutions that convert complex data into actionable insights. 🎯 Focus: Designing, developing, and deploying scalable AI solutions that drive automation, intelligence, operational efficiency, and business growth. 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 • Python Full Stack Development • Artificial Intelligence & Machine Learning • Predictive Modeling & Data Analytics • Generative AI & LLM Applications • BI Dashboard & Data Visualization • Graph Databases & Knowledge Graphs • AI Search & Vector Database • SaaS Platform Development • Cloud Data Engineering • API Development & Integration • AI Automation & Workflow Optimization • AI Agents & Chatbot Tech Stack 💻 𝗖𝗼𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀 • Python • Machine Learning • Artificial Intelligence • Data Science • Deep Learning • Computer Vision • PyTorch • TensorFlow • Scikit-Learn • Pandas • SQL • FastAPI • GraphQL • Apache Spark • MLOps • Docker • RESTful API 🤖 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗔𝗜 & 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮) • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG Pipelines) • AI Agents • Model Context Protocol (MCP) • Vector Databases • Knowledge Graphs • Natural Language Processing (NLP) • LangChain • GPT-4 • OpenAI API • Claude API • Predictive Modeling & Data Analytics 📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝗜 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 • Power BI • Looker • Kibana • Grafana • Tableau • D3.js • Data Visualization • Interactive Dashboards • Real-Time Analytics • Custom Reporting • Dashboard Development ⚙️ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 • ETL/ELT • Data Pipelines • Data Warehousing • Data Modeling • Data Integration • Data Migration • Workflow Automation • Apache Airflow • dbt 🔍 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 • PostgreSQL • MySQL • SQL • Supabase •Firebase • Apache Solr • Pinecone • Qdrant • Weaviate • ChromaDB • FAISS • MongoDB • Neo4j • Elasticsearch • Redis • BigQuery • Airtable ☁️ 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 • AWS • Amazon S3 • AWS Lambda • Amazon Redshift • Amazon Bedrock • Amazon SageMaker • Docker • Kubernetes • Terraform • Serverless Architecture 🚀 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗠𝗟𝗢𝗽𝘀 • Git • GitHub • CI/CD • MLOps • MLflow • DVC • Monitoring & Logging 🌐 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 • Python • Node.js • Django • Flask • Express.js • JavaScript • TypeScript 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 • React.js • Next.js • jQuery • Vue.js • Tailwind CSS • HTML • CSS 𝗔𝗣𝗜𝘀 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 • REST APIs • GraphQL • FastAPI • Webhooks • OAuth • JSON • API Integration 🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Healthcare, Finance & FinTech, E-commerce, Real Estate, Education, Legal Tech, Marketing & Sales, Logistics & Supply Chain, Human Resources, Customer Support, Manufacturing, SaaS Startups & Enterprises I focus on delivering scalable, production-ready solutions that combine AI, analytics, and modern data engineering to drive business growth and operational efficiency. I offer 𝟯𝟬 𝗺𝗶𝗻 𝗽𝗮𝗶𝗱 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 for AI architecture review, build vs. buy decisions, and MVP scoping. ━━━━━━━━━━━━━━━━━━━━━━━ 💬 𝗟𝗘𝗧’𝗦 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━━━━━━━━ 👉 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 — 𝗜’𝗹𝗹 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘄𝗮𝘆. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Data Scientist, AI Developer, Machine Learning Engineer, Business Intelligence Developer, Power BI Expert, Dashboard Developer, Python Developer, Data Analyst, AI Agent Developer, Generative AI, ChatGPT, OpenAI, RAG, ETL, SQL, Data Engineering, SaaS Development, Analytics Consultant, KPI Dashboard, Data Visualization, Backend Engineer, Full Stack Developer, API Integration, AI Engineer, MCP Server, LLM Apps, RAG Pipeline, Vector Database, Graph Database, LangChain, LangGraph, GraphRAG, LangSmith, Neo4j, Elasticsearch, Kibana, Grafana, OpenClaw, OpenSearch, AI Bot, Agentic AI, Workflow Automation, AI Automation.

Cloud Security & DevSecOps Engineer for teams running on AWS, Azure, GCP, BigQuery, ETL, and CI/CD. I help teams secure cloud infrastructure, data pipelines, and deployment workflows without slowing engineering down. That includes IAM, Entra ID, vulnerability assessment, security analysis, CI/CD hardening, DevSecOps, and information security work across the full environment. Most clients come to me when things already feel messy. Access is too open, cloud infrastructure has grown without clear security rules, CI/CD is moving fast without enough guardrails, and nobody is fully sure where the real risk is. That is exactly why they hire me. I do not just point out issues. I work on the actual infrastructure, access model, cloud setup, and delivery flow so your team can reduce risk, stay organized, and keep shipping with more confidence. 𝙎𝙚𝙧𝙫𝙞𝙘𝙚𝙨 𝙄 𝙊𝙛𝙛𝙚𝙧: 𝟭. Cloud Security Reviews: I review cloud infrastructure, identity, networking, permissions, workloads, and data flows to find real security gaps and give clear priorities. 𝟮. DevSecOps & CI/CD Security: I secure CI/CD workflows so teams can build, test, and deploy with better controls, fewer mistakes, and less production risk. 𝟯. IAM & Entra ID Hardening: I improve IAM, Entra ID, roles, permissions, least privilege, and access design so the right people get the right access without unnecessary exposure. 𝟰. Vulnerability Assessment: I run vulnerability assessment work, validate findings, remove noise, and help your team focus on what actually matters. 𝟱. Security Analysis: I break down risks in plain English so leadership, engineering, and operations can understand what is wrong, what matters most, and what to fix first. 𝟲. Cloud Infrastructure Security: I help secure infrastructure in AWS, Azure, and GCP, including compute, networking, storage, identity, and deployment patterns. 𝟳. Data Engineering & ETL Security: I support secure ETL flows, BigQuery environments, and data architecture decisions where access, movement, storage, and control of data matter. 𝟴. Information Security Support: I help teams improve their information security setup with practical controls, documentation, clearer ownership, and cleaner processes. 𝟵. Quality Assurance for Security Changes: After fixes are made, I verify that the changes actually work and that the environment is more secure, stable, and easier to manage. 𝙏𝙝𝙚 𝙠𝙞𝙣𝙙 𝙤𝙛 𝙬𝙤𝙧𝙠 𝙄 𝙝𝙚𝙡𝙥 𝙢𝙤𝙨𝙩 𝙬𝙞𝙩𝙝: 🔹 Securing AWS, Azure, and GCP environments without slowing down delivery 🔹 Hardening IAM, Entra ID, permissions, and access controls 🔹 Improving CI/CD security and building cleaner DevSecOps workflows 🔹 Running vulnerability assessment and turning findings into real fixes 🔹 Securing ETL pipelines, BigQuery environments, and data infrastructure 🔹 Helping engineering teams understand and reduce cloud security risk 🔹 Cleaning up weak infrastructure and making it easier to maintain over time 🔹 Supporting information security work with practical implementation, not theory 𝙄 𝙖𝙢 𝙚𝙭𝙥𝙚𝙧𝙩 𝙖𝙩: 𝟭. Cloud Security, CI/CD Security, CyberSecurity, Information Security, DevSecOps 𝟮. Azure, AWS, and GCP, Docker, Kubernetes 𝟯. Vulnerability Assessment, Cloud Infrastructure, Security Analysis 𝟰. Azure, AWS, and GCP, Docker, Python 𝟱. BigQuery, ETL, and Data Engineering 𝟲. IAM, Entra ID, SOC, SOC2, ICO Thanks for reading my bio, I am happy to help you, just send me a message and we can discus everything in more detail.

🚀𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗼 𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 I have 5+ years of experience helping businesses extract and integrate data into Microsoft Fabric, transform complex datasets into insightful Power BI dashboards, automate reporting processes, build scalable data models, and develop AI-powered data agents and tools. 🏅 My Expertise ✔ Power BI dashboards and executive reports Build interactive dashboards, KPI scorecards, financial reports, sales reports, operational reports, and management reporting solutions. ✔ Microsoft Fabric data solutions Develop Lakehouse and Warehouse architectures, data pipelines, notebooks, dataflows, semantic models, and automated reporting environments. ✔ Data Apps and AI Data Agents Create analytics applications and intelligent data agents that allow users to explore business data, answer questions, and access insights more easily. ✔ ETL/ELT and data integration Connect, clean, transform, and combine data from REST APIs, SQL databases, Excel, CSV files, SharePoint, cloud platforms, and other business systems. ✔ Advanced DAX and data modeling Develop star schemas, reusable semantic models, advanced measures, time-intelligence calculations, KPI logic, forecasting, variance analysis, optimize DAX and Power Query, reduce refresh time and row-level security. 🛠 CORE TECHNOLOGIES Power BI | Microsoft Fabric | DAX | Power Query | SQL | Python | Excel | REST APIs | Lakehouse | Data Warehouse | ETL/ELT | Data Modeling WHY WORK WITH ME? ✅Insightful reporting, NOT just attractive charts ✅Clean, scalable, and maintainable solutions ✅Clear communication throughout the project ✅Documentation and knowledge transfer when required ✅Direct collaboration with me from requirements through delivery Send me a brief description of your data, current challenges, and desired outcome. I’m available for an initial consultation to discuss the most practical approach for your project.

𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗖𝗹𝗼𝘂𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 | 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗣𝘆𝘁𝗵𝗼𝗻 If you are in need of a partner that can assist you in 𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘇𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 and 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 that can keep scale with your business growth then you are in the right place. I have a simple strategy, which is to know your objectives, to get rid of complexity, and to 𝗼𝗳𝗳𝗲𝗿 𝗰𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 that run seamlessly in the real world. I am Muhammad Akhtar, an 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 and 𝗣𝘆𝘁𝗵𝗼𝗻 experienced 𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿. I also specialize in 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 and 𝗱𝗮𝘁𝗮 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that are efficient and also simple to maintain and prepared to grow in the long term. I just do not fix issues, but rather create a platform that avoids the issues. 𝗖𝗹𝗼𝘂𝗱, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Your infrastructure must be 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 to ensure that you can grow in a sustainable manner. This is where I come in. I build and manage: - Application security (EKS/AKS) - Docker & Helm deployments - Terraform and Infrastructure as Code - CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps) End-to-end - Automated release and provisioning This is always aimed at minimizing the operational effort and maximizing deployment confidence. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - 𝗛𝗼𝘄 𝘁𝗼 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗮 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺: With 𝗻𝗼 𝗿𝗲𝗮𝗹 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, there exists 𝗻𝗼 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀. In order to supplement DevOps work, I design and optimize: - ETL/ELT pipelines - Python based automation - Airflow orchestration - Databricks & Spark workflows - PostgreSQL, MySQL and MSSQL SQL models Each pipeline that I create links up with your cloud ecosystem perfectly so that your data is transported reliably to its destination either to support analytics, reporting, or machine learning workflows. 𝗖𝗹𝗼𝘂𝗱 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 - 𝗔𝗪𝗦 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲 𝗗𝗼𝗻𝗲 𝗥𝗶𝗴𝗵𝘁: Since your 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 and 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 are based on the cloud, I am a full-stack worker: - AWS, EC2, Lambda, RDS, Glue, S3, Step functions, Redshift, CloudWatch - ADF, Azure Devops, monitor, Cosmos DB, AAD All of my constructions assist in the security, scalability, cost effectiveness, and long-term maintainability. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - 𝗕𝗲𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗙𝗼𝗿𝗲𝗳𝗿𝗼𝗻𝘁 𝗼𝗳 𝗧𝗵𝗶𝗻𝗴𝘀: To ensure the work above continues to provide 𝘃𝗮𝗹𝘂𝗲, I also set up: - Grafana monitoring and Prometheus - IAM & RBAC security - Workflow logging, alerting, and incident - Disaster recovery plans That makes the ecosystem complete; infrastructure, data, visibility and reliability. 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 𝗪𝗲 𝗔𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗦𝘁𝗿𝗼𝗻𝗴: In case you admire the person who can explain things in simple terms, does not use a lot of unnecessary wording and is oriented to the actual results, I would be happy to collaborate with you. I 𝗮𝗰𝘁 𝗳𝗮𝘀𝘁, 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻 𝗼𝗽𝗲𝗻 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 and 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀 𝗺𝘆 𝗼𝘄𝗻. Streamline your 𝗰𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 message me and I 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝘄𝗶𝘁𝗵𝗶𝗻 𝟭𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀.

Updated on 07/08/2026 Most dashboard problems are not dashboard problems. A number that does not match what someone counted by hand usually broke three steps earlier, somewhere in ingestion or a transformation nobody tested. That is where I actually spend my time as a Data and AI Engineer, and the chart at the end is the easy part. My pipelines typically run on Airflow or Mage AI. Anything that needs to move in real time goes through Kafka and PyFlink. On AWS I work with Lambda, S3, EventBridge, and SNS, and bad records get pulled into a quarantine bucket instead of quietly sitting in a table someone trusts. For transformation, I build dbt models on Snowflake and PostgreSQL, structured bronze through gold, with schema tests and business rule checks written into the models themselves so a broken assumption gets caught in the pipeline, not by whoever opens the report next. Reporting comes after the data is solid. I build in Power BI or Tableau around the one question the business actually needs answered, not a stack of generic rollups nobody reads. When the need is document search or research rather than dashboards, I build RAG systems that score their own retrieval accuracy, so a weak answer gets flagged instead of handed over as confident nonsense. A few things I have shipped recently: a district-level KPI dashboard on Snowflake and Power BI built from layered dbt models, incremental dbt pipelines feeding logistics and lending risk reporting, a real-time Kafka and PyFlink pipeline with event-time processing sinking to PostgreSQL, and a serverless AWS pipeline where a quarantine bucket keeps bad files from ever touching the tables people query. If a tool is not something I have genuinely used, I will say so instead of guessing my way through your job. Tell me what the reporting needs to answer and where your data lives right now, whether that is Excel, PDFs, or a handful of systems that do not talk to each other. I will give you a straight read on whether it is a small fix or a bigger rebuild. ETL, SQL, Python, DBT, Snowflake, Apache Airflow, Apache Kafka, AWS, Data Pipeline, Power BI, Python, Snowflake, ETL, Big Data, ETL Pipeline, Data Engineer, ETL Developer, Data Science, Data Analysis, Deep Learning, Data Engineering, Azure Databricks, MLOps Engineer, Machine Learning, Database Design, Delta Lake Expert, Databricks Engineer, Big Data Consultant, AWS Data Specialist, Database Architecture, Amazon Web Services, Artificial Intelligence, Deep Learning Modeling, Machine Learning Engineer, Data Analytics & Visualization Software, Data Warehousing & ETL Software Data Processing, Cloud Engineering, GCP Analytics, Data Analytics, Data Visualization, Spark Developer,

Senior .NET Core engineer building production systems where correctness isn't optional real-money trading platforms, law enforcement evidence systems, and AI-integrated fintech, for US and UK clients. ➤ Order Management & Risk Management System Velocity Clearing (US equity clearing firm) Tech: .NET Core, FIX protocol, SQL Server, Apache Ignite, NetMQ 🔹 Fixed a production race condition causing incorrect margin approvals under peak load — diagnosed with dotnet-trace/PerfView, not guesswork 🔹 Built real-time order lifecycle event streaming with strict ordering guarantees ➤ Digital Evidence Management Platform US law enforcement (GETAC) Tech: .NET Core, Python, YOLO v7, OpenCV, CUDA, Kafka, Azure 🔹 Computer vision pipeline processing video evidence at scale with confidence-scored detection 🔹 Strict tenant isolation, audit trails on every mutation, zero cross-case data leakage ➤ Keytomic AI SEO SaaS Platform (built and shipped) Tech: .NET Core, OpenAI API, PostgreSQL 🔹 1,200+ active users, featured on Product Hunt 🔹 Multi-tenant architecture, automated content generation pipeline ➤ Customs Declaration Automation UK/EU logistics (FF Customs) Tech: .NET Core, OpenAI agentic workflow, HMRC Sequoia integration 🔹 80% reduction in manual document processing I use Claude Code daily to move faster but architecture decisions and code quality are always mine to own, never unreviewed AI output. I read before I touch, ship incrementally, and document what changed and why. Available for long-term engagements and fixed-scope projects, with workable US/UK timezone overlap. Backend: C#, ASP.NET Core, CQRS, MediatR, Clean Architecture, Entity Framework Core AI/LLM: OpenAI, Anthropic Claude, RAG pipelines, LangChain, pgvector, Azure Cognitive Search Cloud: Azure (App Services, Data Factory, DevOps), AWS (EC2, Lambda, S3, RDS) Data: SQL Server, PostgreSQL, Redis, Apache Kafka Real-time: SignalR, WebSockets, gRPC Keywords: .NET Core developer, C# developer, ASP.NET Core developer, Azure developer, AWS developer, AI integration developer, OpenAI API developer, Claude API developer, RAG pipeline developer, SQL Server developer, PostgreSQL developer, microservices developer, full stack .NET developer, trading systems developer, fintech backend developer.

Is your Zoho CRM messy, underutilized, or disconnected from the rest of your tools? I fix that. I help businesses turn their Zoho setup into a system that actually works, clean pipelines, automated workflows, connected apps, and dashboards that give you real visibility. Whether you're starting from scratch or rescuing a setup that went sideways, I build solutions that are simple, scalable, and aligned with how your team works. What I specialize in: ✔ Zoho CRM setup, cleanup & pipeline automation ✔ Zoho One end-to-end implementation ✔ Deluge scripting & API integrations (CRM, Desk, Books, Inventory, Creator) ✔ Zoho Analytics dashboards — sales, inventory, KPIs ✔ Zoho Creator custom apps & workflow automation Recent client results: → Reduced manual data entry by 60% through automated lead workflows → Built real-time sales & inventory dashboards used by 3 departments daily → Integrated 6 Zoho apps into one connected system, eliminating duplicate work → Cut lead response time from 4 days to same-day with automated follow-up sequences I have completed 50+ Zoho projects with $200K+ earned on Upwork. Every solution I build gets documented so your team can manage it without depending on me forever. If your Zoho setup isn't working the way it should, let's talk. Share your current setup and I'll tell you exactly what I'd fix.

Hello I am Imran Hussain Heron. I have a total of 13 years of experience with Oracle, MySQL, and MSSQL databases. My significant experience includes: Oracle Database: Implementation and management of Oracle Database 10g, 11g R1, 11g R2, 12c, and 19c Database Backup and Recovery: Expert in RMAN and Oracle import/export High Availability Solutions: Real Application Clusters (RAC), Physical Standby (Data Guard), and Logical Standby Middleware and Infrastructure: Oracle WebLogic, Oracle Grid Infrastructure (11g-19c), and Fusion Middleware Security: Oracle Audit Vault and Database Firewall, Oracle & MSSQL Transparent Data Encryption Performance Tuning: Oracle & MSSQL performance tuning Database Upgradation & Migration: Oracle and MSSQL database upgradation and migration Disaster Recovery and High Availability: MSSQL AlwaysOn Availability Groups, Replication, Log Shipping, Mirroring, and Clustering MySQL Administration: Administration and DR implementation Additional Expertise: Oracle GoldenGate, Oracle Gateway Thank you for visiting my portfolio. Best regards, Imran Hussain Heron

I build modern data systems that help companies centralize operations, automate workflows, and make better business decisions from their data. My background combines: • Data Engineering • Analytics Engineering • Data Architecture • Business Intelligence • AI Integrations & Automation I work with companies that have grown beyond spreadsheets, disconnected tools, unreliable reporting, and manual operational processes — and need scalable systems that actually support the business. ━━━━━━━━━━━━━━━━━━━ WHAT I DO ━━━━━━━━━━━━━━━━━━━ ▶ Data Engineering & Architecture • Design scalable modern data platforms • Build ETL / ELT pipelines and ingestion frameworks • Architect Snowflake and Databricks environments • Implement medallion architecture and dimensional models • Build orchestration workflows with Airflow • Develop dbt transformation layers and semantic models • Optimize pipeline reliability, performance, and cost ▶ Analytics & Business Intelligence • Executive KPI systems and reporting platforms • Power BI & Tableau dashboard development • Operational analytics and forecasting systems • Revenue, funnel, and performance analysis • Data modeling for reporting and self-service analytics • Trusted metric layer and reporting standardization ▶ AI Solutions & Intelligent Automation • LLM integrations (OpenAI, Claude, Cortex AI) • AI-powered operational workflows • AI-assisted reporting and analytics systems • Automated enrichment, classification, and insight generation • Internal AI tools connected to company data • Workflow automation reducing manual operational overhead ▶ CRM & Operational Systems • Salesforce, HubSpot, and Close CRM integrations • CRM migration and restructuring projects • Sales pipeline analytics and operational reporting • Business process automation and system integration ━━━━━━━━━━━━━━━━━━━ RECENT PROJECTS ━━━━━━━━━━━━━━━━━━━ • Built end-to-end analytics platforms (API integrations → orchestration → Snowflake → BI dashboards) • Developed AI-assisted property valuation and operational analysis workflows • Designed KPI standardization platforms consolidating metrics from hundreds of BI reports • Built Airflow orchestration and CI/CD workflows using GitHub Actions • Implemented scalable reporting systems used by leadership and operations teams • Improved CRM reporting accuracy and operational visibility across multiple business functions • Built medallion-based data architectures supporting analytics and self-service reporting ━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━ Python • SQL • Snowflake • Databricks • Airflow • dbt Power BI • Tableau • Azure • AWS • APIs • GitHub Actions LLM / AI Integrations • Workflow Automation ━━━━━━━━━━━━━━━━━━━ I focus on building systems that are not only technically strong, but also practical, scalable, and aligned with real business operations. Whether you need a modern data platform, executive reporting system, AI-powered workflow automation, or a complete analytics architecture — I can help design and build the solution end-to-end.

I build AI products that make it to production: RAG document intelligence, video AI pipelines on self-hosted LLMs, and AI-first SaaS platforms. $200K+ earned, 6,200+ hours, 100% Job Success, Top Rated Plus. WHY FOUNDERS AND TEAMS BRING ME IN: ✅ SaaS platforms, B2B marketplaces, and AI systems shipped since 2020; from idea to production, several still live and earning ✅ Builder of Quanta, and the AI document platform behind 1,000+ SBA loans and $500M+ in funded transactions ✅ Hands-on senior engineer: you work directly with me on architecture and code, on every engagement. When a project needs more hands, I scale with my own vetted team (Arithmiks, 10 engineers) instead of handing you off ✅ Top Rated Plus (top 3% on Upwork). Clear trade-offs, honest assessments, no fluff WHAT I BUILD: 📄 1. AI Document Intelligence and RAG Systems Contract review with clause-level risk flags and exact-section citations. Hybrid retrieval (dense + sparse vectors, Qdrant), structured LLM extraction validated against schemas, audit-logged answers that never cite what wasn't retrieved. Shipped inside a lending platform that has supported 1,000+ SBA loans and $30M+ in funded transactions: AI document naming and summarization, package-level analysis, and credit memorandum generation. 🎥 2. Video and Media AI Pipelines Fully automated pipelines: speech-to-text (Whisper) with speaker diarization, word-level timestamps and subtitles, frame analysis, face detection, chapter segmentation, tag scoring, and natural-language chat over indexed video libraries. Multilingual (including Arabic and English). Deep experience with self-hosted LLM inference (vLLM) on GPU Kubernetes clusters with workflow orchestration, for teams with data-residency or firewall requirements. 💬 3. AI Chatbots and Assistants (with citations, not hallucinations) Chat interfaces over documents, data, and video metadata — every factual answer carries a clickable citation to the source; the system says "not found" instead of guessing. RBAC-scoped retrieval, per-org data isolation, full RAG audit logs. 🚀 4. B2B Marketplaces and FinTech Workflows Vendor portals, quote and order workflows, Stripe payments at real transaction volume, e-signature flows, multi-role approval pipelines, compliance-aware payment architecture. 🏦 5. Cloud, DevOps and Self-Hosted AI Infrastructure AWS (EC2, S3, Lambda, RDS, API Gateway), Docker, CI/CD — and the part most teams can't offer: self-hosted LLM deployments (vLLM, Kubernetes, GPU scheduling) for clients with data-residency or firewall requirements. ☁️ 6. Cloud, DevOps and Self-Hosted AI Infrastructure AWS (EC2, S3, Lambda, RDS, API Gateway), Docker, CI/CD — and the part most teams can't offer: self-hosted LLM deployments (vLLM, Kubernetes, GPU scheduling) for clients with data-residency or firewall requirements. SELECTED PRODUCTS AND CLIENTS: ⭐ Working with Al Jazeera Media Network on AI platform development. ⭐ ClauseLens — AI Contract Review (launching) Upload a 30-page contract, get a complete risk analysis in under 90 seconds: risky clauses flagged red/amber/green with section numbers, key commercial terms extracted, and chat with citations that scroll the original PDF to the exact highlighted clause. ⭐ VirtualBDA / SBA Loans HQ — FinTech Document AI The SBA front-end for lenders: AI document collection, naming and summarization, package-level credit analysis, credit memo generation, e-signatures, live pipeline. Platform stats: 1,000+ SBA loans closed, $500M+ funds. ⭐ Quanta — Conversational Analytics Ask your data anything in natural language — AI chat over your business data. MY STACK: - Python, Django, FastAPI, Node.js / React, Next.js, TypeScript, Tailwind - LangChain, LangGraph, LlamaIndex, CrewAI / OpenAI, Claude, Gemini, Qwen, Whisper - RAG: Qdrant, hybrid dense+sparse retrieval, embeddings, rerankers / vLLM self-hosted inference - PostgreSQL, Redis, MongoDB, MinIO / Kafka, Celery, Argo Workflows - AWS, Docker, Kubernetes, CI/CD / Stripe, DocuSeal, Twilio, AWS Textract I use AI-assisted development tools (Cursor, Claude) to move fast, while keeping full control of architecture and system design. WHY CLIENTS STAY: → 78% of my client relationships run longer than 90 days. → Clients who started with a $100 task have grown into $50K+ engagements. → End-to-end ownership, concept to production — since 2020. If you're building an AI product, need RAG done properly with citations, or have an existing SaaS that needs to scale - send me a message or an invite and tell me what you're working on.