I am a UK-based Senior Accountant and part-owner of a CIMA-regulated practice based in Bristol, providing compliant, commercially focused accounting and tax services to a portfolio of ~120 clients. Our practice delivers a full-service offering, including bookkeeping, VAT, payroll, statutory accounts, and tax optimisation (including capital allowances and allowable expense planning). We are Xero Advisor Certified and have over a decade of hands-on experience supporting owner-managed businesses across a range of sectors. What differentiates my work is the combination of regulated accountancy with advanced financial modelling and automation expertise. Since 2005, I have specialised in building automated financial models, reporting systems, and process-driven solutions using Excel/VBA, SQL, Python, and Google Apps Script. This allows us to go beyond standard compliance work—helping clients improve reporting speed, reduce manual errors, and make better financial decisions. I also lead on higher-value engagements including: - R&D Tax Credit claims - SEIS/EIS fundraising support - Bespoke financial forecasting and modelling In 2009, I developed an ICAEW-accredited financial forecasting platform designed to rapidly build integrated financial models. This reflects my broader approach: combining technical capability with accounting expertise to deliver solutions that are both compliant and commercially effective. Alongside practice work, I continue to support clients with bespoke modelling and automation projects across sectors, including construction & property, healthcare, FMCG, and financial services. I maintain a consistently high client satisfaction record by focusing on practical delivery, responsiveness, and long-term usability, ensuring clients receive support that extends beyond year-end compliance. I aim to ensure every client receives 5-star treatment, from project conception through to post-delivery support.

I help businesses build scalable data platforms, AI-driven systems, and high-performance analytics using Databricks, PySpark, and Power BI. If your pipelines are slow, dashboards are lagging, or cloud costs are rising, I can optimize and redesign your system for speed, scalability, and cost efficiency. What I Can Help You With: 1. Build end-to-end data pipelines across Azure, AWS, and GCP using Databricks, PySpark, and modern Lakehouse architecture 2. Develop AI-enabled data systems including anomaly detection, predictive pipelines, and intelligent automation 3. Design and optimize Power BI and Tableau dashboards with fast, scalable data models 4. Implement real-time and batch processing pipelines using Spark and streaming frameworks 5. Reduce cloud costs through FinOps strategies, performance tuning, and architecture optimization 6. Integrate APIs, databases, and event streams into unified analytics platforms 7. Fix slow pipelines, broken workflows, and performance bottlenecks Why Clients Work With Me 1. Architect-level expertise with strong hands-on implementation 2. Experience building multi-tenant, large-scale data platforms (TB–PB scale) 3. Focus on performance, cost optimization, and real business outcomes 4. Clear communication and reliable delivery Certifications & Expertise 1. Azure Solutions Architect Expert 2. Databricks Certified Data Engineer Professional 3. Microsoft Certified: Azure Data Engineer Associate 4. Microsoft Certified: Power BI Data Analyst 5. Azure AI Engineer (AI-102) If you are looking for someone who can combine data engineering, AI, and analytics to build scalable and intelligent data systems, I would be happy to help.

Experience & Track Record: ✅ 10+ Years of Experience — Delivering end-to-end digital products that scale 🏆 100+ Projects Delivered — 20 on Upwork, 80+ for global clients 💯 100% Job Success Rate — Consistent client satisfaction & repeat business ⏰ 2,400+ Hours on Upwork — Trusted by teams across the US, Europe & APAC 🌍 Strong Portfolio — Websites, Mobile Apps & Enterprise Platforms I specialize in building scalable SaaS products and full-stack applications that are fast, reliable, and easy to maintain. My work spans product architecture, cloud development, API design, data engineering, and AI integration across web and mobile platforms. What I Do Best: ⚙️ Solution Architecture & Technical Planning 💻 Full-Stack Web & Mobile Development 🔗 API Design & Third-Party Integrations 📊 Data Engineering & Analytics Enablement ☁️ Cloud-Native Development & DevOps Automation ⚡ Performance, Scalability & Optimization Domain Expertise: 💡 SaaS & Multi-Tenant Platforms 💳 Fintech & FinOps Workflows (billing, reconciliation, subscriptions) 🛒 E-Commerce & Marketplaces 📈 Data Integration & BI Dashboards 🤖 Process Automation for Ops, Sales & Support ✉️ CRM, MarTech & Internal Tools Tech Stack: ✅ Languages & Frameworks: JavaScript, TypeScript, React, Next.js, Node.js (Express, NestJS), Python (FastAPI, Django), Java (Spring Boot) ✅ SQL Databases: PostgreSQL, MySQL ✅ NoSQL: MongoDB, Redis, Elasticsearch ✅ Cloud: AWS, GCP, Azure ✅ Containers & IaC: Docker, Kubernetes, Terraform ✅ CI/CD: GitHub Actions, GitLab CI, CircleCI ✅ Data Tooling: Airflow, dbt, Kafka ✅ Analytics Warehouses: Snowflake, BigQuery, Redshift ✅ Messaging & Queues: SQS, RabbitMQ, Kafka ✅ Testing: Jest, PyTest, Cypress, Playwright ✅ Monitoring & Logging: Prometheus, Grafana, ELK, Datadog ✅ Auth: OAuth2, OpenID Connect, JWT, Auth0 ✅ Payments: Stripe ✅ Mobile: React Native 💼 Why Clients Hire Me I bridge business context with engineering depth, translating ideas into robust architectures that evolve with growth. From MVPs to full-scale systems, I deliver clean, maintainable solutions that perform. 💬 Ready to discuss your next build or migration? Let’s talk about your goals and map the smartest path forward. Search me with below keyword: [SaaS Development, Full-Stack Developer, Software Architect, Product Engineering, API Development, Web Application Development, Cloud Application Development, MVP Development, Software Modernization, System Design, Microservices Architecture, DevOps Engineer, Backend Development, Frontend Development, JavaScript, TypeScript, React, Next.js, Node.js, Express, NestJS, Python, FastAPI, Django, Java, Spring Boot, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, REST APIs, GraphQL, React Native, Stripe API, OAuth2, Auth0, JWT]

I help businesses eliminate bottlenecks with AI systems, smart workflows, and custom-built internal tools. If your team is losing time to repetitive tasks, slow handoffs, disconnected software, or manual reporting, I design and implement AI-powered solutions that make the business run faster, cleaner, and with less dependency on manual effort. My work is not about adding AI for trend value. It’s about solving operational problems with systems that create measurable business impact. I work with clients who need: - AI assistants: trained on business knowledge and documents - Custom workflow automation: across sales, operations, service, and reporting - AI-integrated internal tools: built around their exact process - Lead qualification, follow-up, and booking systems - Automated dashboards and reporting pipelines - Reliable integrations: between CRMs, communication tools, data platforms, and external APIs Selected outcomes - Built AI copilots and knowledge assistants that reduced manual searching and improved internal team efficiency - Automated CRM and operational workflows that saved teams **15+ hours per week** - Replaced spreadsheet-heavy reporting with automated pipelines and live dashboards - Delivered business systems that were not only technically sound, but actually adopted by the client’s team Core stack OpenAI, N8N, Make, Zapier, Power Automate, Twilio, Power BI, BigQuery, APIs, CRM systems, Copilot Studio, Azure AI, and custom AI application workflows Why clients trust me I’m a Top Rated Plus freelancer with 100% Job Success, $70K+ earned, and 47 completed jobs on Upwork. If you’re looking for an AI engineer who can translate messy business processes into smart, scalable systems, I’d be glad to help.

✅ Top Rated Data Engineer | AI Automation Specialist | Power BI Expert | BigQuery | ETL Pipelines | Python | BI Dashboards 📊 Helping businesses build scalable data systems, real-time dashboards, AI-powered automation, and business intelligence solutions that drive smarter decisions. With 10+ years of experience across Data Engineering, Full-Stack Development, Big Data and Machine Learning, I deliver end-to-end solutions from backend architecture and ETL pipelines to Power BI dashboards, AI chatbots and cloud deployment. I specialize in turning complex data into clear business outcomes. 🚀 What I Help Businesses Achieve: • Real-time reporting and decision-making • Automated workflows with AI and n8n • Scalable ETL / ELT pipelines • Power BI / Tableau / Looker dashboards • BigQuery data warehousing • AI Chatbots and LLM-powered assistants • Data cleaning, transformation and optimization • Backend APIs and cloud deployment • Performance optimization for enterprise systems 💻 Core Expertise: ✔ Data Engineering ✔ ETL / ELT Pipelines ✔ BigQuery ✔ Power BI ✔ Tableau ✔ Looker Studio ✔ SQL Optimization ✔ Python Automation ✔ AI Chatbots ✔ LLM Integration ✔ n8n Workflow Automation ✔ FastAPI / Node.js APIs ✔ AWS / GCP Cloud Infrastructure ✔ Dashboard Development ✔ Data Warehousing ✔ Predictive Analytics ✔ Machine Learning Models ⚙ Tools & Technologies: Python, SQL, BigQuery, Power BI, Tableau, Looker Studio, Apache Spark, Kafka, PostgreSQL, MySQL, MongoDB, AWS, GCP, FastAPI, Node.js, Docker, Kubernetes, TensorFlow, PyTorch, ChatGPT, Claude AI, Gemini, Perplexity, Vertex AI, SageMaker, n8n, OpenAI and more. 🏆 Results Delivered: • Built enterprise-grade ETL systems for large-scale reporting • Developed AI-powered chatbot solutions for business automation • Created real-time Power BI dashboards for sales and operations tracking • Improved data flow efficiency through cloud-native pipelines • Delivered analytics systems for eCommerce, construction, and SaaS platforms I focus on business impact not just technical delivery. If you are looking for a reliable Data Engineer and AI Specialist who can build systems that scale, let’s connect.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Web Scraping and Data Mining Expert at GroupBWT - a 100-person engineering team delivering scalable, high-accuracy data extraction and web scraping systems since 2009. I specialize in building end-to-end data mining and lead generation pipelines using tools like Python, Selenium, Playwright, and Puppeteer to extract structured information from complex, dynamic, and protected sources. Over the years, I’ve worked on systems where data mining and web scraping are core infrastructure components, not just scripts. We help clients replace spreadsheets, manual monitoring, and unreliable sources with fully automated pipelines delivered into APIs, dashboards, or databases: ✅ Our Python Web Scraping and data mining systems process over 1.5 million URLs per day, with proxy rotation, retry logic, and real-time monitoring. ✅ We reduce reporting delays by 70% using real-time data mining and web scraping pipelines for inventory, pricing, and market tracking. ✅ Our systems collect and structure more than 15,000 news articles weekly using web scraping and data mining pipelines, converting unstructured content into usable insights. 🔁 What I do 📦 Python Web Scraping Data Mining: We build large-scale Python Web Scraping data mining systems that extract structured data from marketplaces, real estate platforms, B2B directories, social networks, and news sources. ✔ Product & Price Monitoring ✔ Competitor Analysis ✔ Business Directory extraction ✔ Lead Generation & Contact Discovery 🧹 Cleaning, Enrichment & Integration We don’t stop at extraction - every data mining and Python Web Scraping pipeline includes cleaning, normalization, deduplication, and enrichment. We turn raw outputs into Data Analyst-ready datasets that integrate with CRMs, BI tools, and internal systems. ✔ Document & Market analysis ✔ Data matching and enrichment ✔ Classification and tagging 📤 Automation & Scalable Delivery We design recurring web scraping data mining pipelines that run daily or hourly with full observability. Every web scraping data mining system includes monitoring, alerts, retries, and structured delivery into APIs, databases, or BI dashboards. ✔ Scheduled web scraping data mining pipelines ✔ Real-time dashboards ✔ Automated reporting feeds ✔ Lead Generation database creation and enrichment ✔ Custom bot developer solutions ✔ Data Analyst-ready dataset 🧾 Data Entry & Data Scraping Support We provide structured Data Entry services: ✔ Lead Generation database creation and enrichment ✔ Data Entry for large-scale scraped datasets into spreadsheets, CRMs, and databases ✔ Data Entry automation for transforming unstructured data scraping outputs into structured records ✔ High-volume Data Entry handling for product, business, and directory information ✔ Data Entry validation to ensure accuracy and consistency across datasets ✔ Semi-automated Data Entry workflows ⚙️ Tech Stack: Languages: Python, JavaScript, PHP Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, MSSQL, Snowflake Frameworks: Scrapy, Twisted, Hadoop, DRF, Laravel, ApacheSpark Containerization: Docker, k8s Message Brokers: RabbitMQ, Redis AWS: EC2, SQS, RDS, S3, Lambda, Gateway, Neptune Libraries: Celery, Puppeteer, NLTK, numpy, pandas, spaCy, TensorFlow, scikit-learn, React-PHP, Keras, sqlalchemy, Gensim, pyTorch RPA & Workflow: Selenium, Playwright, UI automation, Slack/Google Sheets integrations, API workflows, Excel automation Bot Developer: Custom bot developer | data scraper solutions Platform: Databricks, Snowflake, BigQuery, Airflow, DBT, Redshift, Power BI 🧩 SAMPLE WEB SCRAPING & DATA MINING PROJECTS ✅ Built a platform covering 300+ marketplaces using Python Web Scraping and data mining, processing 60M+ records daily ✅ Built pricing intelligence system using data mining and Python Web Scraping across 120+ eCommerce domains ✅ Delivered news intelligence platform powered by web scraping data mining from 80+ global media sources ✅ Built a lead generation platform using Python scraping and web scraping data collection across multiple business directories, generating thousands of verified leads weekly 🤝 Why Clients Work With Us: ✅ Enterprise-Grade Web Scraping & Data Mining Systems 🔹 We build full-scale ecosystems, not scripts - every Python Web Scraping and data mining system includes monitoring, scaling, error recovery, and Data Analyst-ready outputs. 🔹 Clients reduce manual work by up to 60% using automated web scraping data mining pipelines 🔹 Result: 25-35% lower operational costs through stable web scraping data mining infrastructure ✅ Built to Scale 🔹 Systems handle 100M+ pages/month using web scraping data mining architecture 🔹 Designed for horizontal scaling of web scraping data mining workloads 🔹 Real-time updates through scheduled web scraping and data mining execution 🚀 Ready to turn data into structured intelligence using web scraping and data mining? ➡️ Invite me to your job and let’s build your pipeline

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!

A working demo and a system that survives production are two very different things. I build the second kind. Over a decade of backend engineering and 70+ completed projects on Upwork. I run Datum Brain, a software and AI engineering company, so you get one senior engineer accountable end to end, with a team behind him when the work needs it. We ship Go microservices, data pipelines, and LLM systems for FinTech, SaaS, EdTech, and AdTech clients. Recent work: 🛡 Real-time ad fraud detection (TrueAudience) High-concurrency Go backend that scores ad traffic to catch bots before advertisers pay. 80M+ events, under 20ms decisions. Go, TimescaleDB, real-time pipelines. 🏦 Go microservices for an EMI and payments platform (Zolvat) Ledger logic, payment flows, and service orchestration for an installment payments platform. Go, microservices, PostgreSQL. 🎥 WebRTC proctoring infrastructure (Meazure / Examity) Real-time media and session orchestration for thousands of concurrent exam sessions at one of the largest US proctoring providers. Go, WebRTC, LiveKit, NATS. 📊 Big data pipeline optimization (Nike) Cut processing time and compute cost on large PySpark workloads. PySpark, AWS. 📄 Document intelligence platform (Centrum AI) OCR and RAG pipeline that turns unstructured documents into structured, queryable data with human review. Python, FastAPI, LangChain, RAG. What I work with: Backend: Go, Python, FastAPI, gRPC, REST, PostgreSQL, TimescaleDB, Redis, NATS, Kafka Data: PySpark, ETL pipelines, data quality frameworks, AWS, GCP Real-time: WebRTC, LiveKit, event streaming, high-concurrency systems AI and LLM: LangChain, LangGraph, RAG, multi-agent systems, OpenAI, Claude, evals Infra: Docker, Kubernetes, CI/CD, nginx How I work: I scope before I quote, so you know what you are getting and when. I flag risks early instead of at the deadline. Production-ready means tested, documented, monitored, and handed over properly. Good fit if you need something that runs in production and not a proof of concept, you want one senior engineer accountable end to end, and you value clear communication and honest scoping. Not a fit if you are shopping purely on hourly rate, or the spec changes daily and nobody owns decisions. If your backend needs to handle real load, or your data or AI work needs to go from demo to product, send me a message.

I help companies build production-grade AI assistants and automated workflows using LLMs, Retrieval Augmented Generation (RAG), and secure enterprise integrations. My focus is simple: 👉 Turn your internal documents, business processes, and workflows into an AI-powered system that works reliably every day. 🔥 What I Can Build for You Internal Knowledge Assistants 1. ChatGPT-style bots that answer questions using: 2. PDFs, SOPs, manuals, HR docs 3. SharePoint / Confluence / Google Drive 4. Policy documents & product knowledge 5. No hallucinations, secure, and auditable. RAG Pipelines (Retrieval-Augmented Generation) 1. Vector databases (FAISS / Pinecone / Azure Cognitive Search) 2. Document chunking, embeddings, and reranking 3. Quality evaluation (precision, grounding, hallucination tests) LLM-Powered Business Workflows & Automation 1. Support ticket summarization + routing 2. Email drafting + classification 3. CRM/ERP updates via AI 4. Document extraction + transformation 5. AI agents that call APIs/tools automatically 🧠 Why Clients Work With Me 1. Built production AI systems used by real teams 2. Strong mix of LLM engineering + backend + data engineering 3. Clear communication, clean architecture, secure deployments 4. Fast prototypes → stable production systems ⚙️ Tech I Use OpenAI / Azure OpenAI · GPT-4 · RAG · LlamaIndex · LangChain · Pinecone · FAISS · Weaviate · Azure Functions · Databricks · Cognitive Search · Python · FastAPI. 💬 Let’s Build Your AI System If you want an AI assistant or LLM workflow that actually works in production not a quick demo I’m ready to help you.