## About Us With over **14 years of industry experience**, our team helps businesses design, build, modernize, and scale secure, high-performance software solutions. We have successfully delivered enterprise-grade applications for startups, SMEs, and large enterprises across a wide range of industries. Our multidisciplinary team covers the complete software development lifecycle—from solution architecture and technical planning to UI/UX development, backend engineering, cloud infrastructure, quality assurance, deployment, and ongoing support. We specialize in transforming complex business requirements into scalable, maintainable, and cost-effective technology solutions. ## Core Technical Expertise ### Backend Development * PHP * Node.js * Express.js * Python * REST APIs * Microservices ### Frontend Development * JavaScript * TypeScript * Angular * HTML5 * CSS3 * Responsive Web Design ### Databases * MySQL * MongoDB * Snowflake ### CMS Development * WordPress * Joomla * Drupal ### Cloud Platforms * Amazon Web Services (AWS) * Microsoft Azure * Google Cloud Platform (GCP) ### Data Engineering * Data Pipelines * dbt * Snowflake * Data Warehousing * ETL/ELT * Data Modeling ### AI & Machine Learning * AI-powered Applications * Machine Learning Integration * Intelligent Automation * AI API Integrations * Custom AI Solutions ### Quality Assurance (QA) * Manual Testing * Automated Testing * Functional Testing * Regression Testing * API Testing * Performance & Load Testing * Cross-Browser & Cross-Platform Testing * Test Planning & Documentation * Bug Tracking & Quality Reporting ### Project & Technical Leadership * Solution Architecture * Technical Leadership * Agile & Scrum * JIRA * CI/CD * Code Reviews * Software Design Best Practices * Team Collaboration & Delivery Management ## What We Can Help You With * Full Stack Web Application Development * Enterprise Software Development * Custom Software Solutions * API Design & Integration * CMS Development & Customization * Cloud Migration & Infrastructure * AI & Machine Learning Integration * Data Engineering & Analytics Solutions * Legacy System Modernization * Performance Optimization * DevOps & CI/CD Implementation * End-to-End Quality Assurance & Software Testing * Technical Consulting & Solution Architecture * Dedicated Development Teams * Ongoing Maintenance & Support ## Why Choose Us? We are committed to delivering high-quality software that is secure, scalable, and built for long-term success. Our team follows industry best practices, maintains transparent communication throughout every project, and ensures timely delivery without compromising quality. Whether you need a dedicated development team, experienced software engineers, cloud specialists, AI experts, data engineers, or QA professionals, we have the expertise to bring your vision to life. **Let's discuss your project and build reliable, scalable, and future-ready software together.**

I build production AI, Machine Learning, and Data Analytics systems that cut operational costs by 40%, prevent ~$2M in annual fraud losses, and turn messy enterprise data into revenue-driving Business Intelligence. Recent work includes a Machine Learning microservices platform serving 2M+ users and 100M+ daily API requests, a multilingual AI Agent handling 15,000+ daily messages with a 20-point NPS lift, and a RAG-powered AI Chatbot embedded in production web apps that drove a 42% conversion rate increase. I work end-to-end across Generative AI, LLM Engineering, AI Agent Development, AI Automation, Data Science, Data Engineering, ETL Pipelines, MLOps, and executive Dashboards in Power BI, Tableau, Looker Studio, and Google Analytics 4. The teams I work best with have data and ambition but no roadmap to ship AI in production without breaking compliance, scale, or budget. What I build: • GPT and Claude-powered AI Chatbot Development, AI Agent Development, and LLM Integration using OpenAI API, Anthropic Claude API, Google Gemini, LangChain, LlamaIndex, and RAG with Pinecone, Weaviate, and Chroma vector databases • Machine Learning and Deep Learning models for fraud detection, demand forecasting, customer segmentation, recommendation engines, and NLP • ETL Pipelines and Data Engineering on Google BigQuery, Snowflake, Databricks, AWS, Azure, and SQL • Power BI Dashboards, Looker Studio Reports, Tableau Visualizations, and full Google Analytics 4 implementation • Python Automation, Web Scraping, API Integration, and AI Workflow Automation for scalable business processes Selected results in AI, Generative AI, and Machine Learning: • GPT-powered AI Chatbot reduced support tickets 50% in one quarter • Machine Learning microservices platform serving 2M+ users and 100M+ daily API requests • Multilingual AI Agent handling 15,000+ daily messages, lifting NPS 20 points • Deep Learning fraud detection model cut false positives 40%, preventing ~$2M in annual losses • Predictive inventory AI decreased stockouts 30% and real-time customer segmentation lifted conversion 28% • NLP-based ticket triage automation improved first-response efficiency 65% • RAG-powered AI Chatbot embedded in web apps improved conversion 42% • Real-time AI Call Center Assistant cut average handle time 35% and lifted first-call resolution 22% • Predictive AI for cell tower failures reduced emergency dispatches and improved network uptime Selected results in Data Engineering and ETL: • Migrated Data Engineering stack to Google BigQuery: 60% faster queries, 25% lower storage costs • Standardized ETL Pipelines for Data Mining and Data Annotation, increasing ML training throughput • Built feature stores and reproducible MLOps training pipelines that accelerated ML iteration • Self-correcting Data Analysis pipeline reduced reporting errors 95% • Python competitive monitoring system mining 150+ sources daily into Google Sheets and BigQuery • SQL clustering and replication deployed for 99.99% uptime on mission-critical apps Selected results in Dashboards and Business Intelligence: • Looker Studio Dashboard suite reduced delivery delays 15% • Marketing Analytics Dashboards unifying paid media, web, and CRM data in Power BI and Looker Studio • C-level KPI Dashboard pack (SQL + Google Analytics 4 + Excel) accelerating weekly decisions • Server-side Google Tag Manager implementation significantly improved GA4 accuracy • Pricing optimization engines lifted profit margins 17% • Self-serve Analytics portal with NLQ-powered Power BI reduced ad-hoc requests 55% • JavaScript bridge syncing legacy Excel models with cloud databases, saving 20 hours per week Beyond implementation, I run AI Readiness Audits for executive teams that have invested in data infrastructure but not yet seen ROI, identifying high-impact AI Agent Development and Machine Learning opportunities and translating them into a 90-day rollout plan with clear success metrics and risk gates. Tech stack: Python, SQL, JavaScript, TypeScript, AWS, Google Cloud, Azure, BigQuery, Snowflake, Databricks, dbt, Airflow, Power BI, Tableau, Looker Studio, GA4, Google Tag Manager, Excel, OpenAI API, Anthropic Claude API, Google Gemini, LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, scikit-learn, Machine Learning, Deep Learning, Generative AI, LLM Engineering, MLOps, NLP, ETL Pipelines, Data Mining, Data Annotation, Data Visualization, AI Integration, AI Automation, AI Agent Development, AI Chatbot Development, RAG, and Vector Databases (Pinecone, Weaviate, Chroma). Share your data sources, target metrics, and timeline. I will reply within 24 hours with a practical rollout plan covering ETL Pipeline through to production AI Integration, plus a short list of risks I see before we start. I work as a strategic partner on production AI and Data systems, not a ticket-taker.

I am an Analytics Engineer with over 11 years of experience in designing and implementing data infrastructure that drives informed business decisions. My expertise lies in using Snowflake, dbt, and Sigma, where I have successfully built automated reporting pipelines from the ground up for enterprise clients across various industries. I excel at translating complex business requirements into actionable, maintainable data products that empower teams to achieve their goals. With a strong background in financial analytics, I work effectively with AI tools and modern analytics workflows to streamline operations and enhance decision-making. If you need a reliable partner to elevate your data strategy and uncover actionable insights, I am here to help. Let's discuss how I can add value to your project.

Data Engineer with 5 years of experience in building data systems from scratch in both on-premise and cloud environments. Comfortable owning the full data stack: from schema design and data modeling to pipeline development, monitoring, and business-facing dashboards. Working at a startup taught me how to balance urgent business goals with technical work, delivering clean and reliable code.

I help businesses build the software they need to operate, scale, and compete, whether that's a customer-facing website, an internal booking system, or an AI agent that handles work your team doesn't have time for. What I build: - Websites & Web Apps: Marketing sites, dashboards, portals, and SaaS products. Clean, fast, built to convert. - Custom Business Software: Internal tools, booking systems, CRMs, inventory management, whatever your operations need. - AI Agents & Automation: Intelligent assistants that handle customer inquiries, process documents, qualify leads, or automate repetitive workflows. - Integrations: Connecting your tools (Stripe, calendars, CRMs, APIs) so data flows without manual work. My approach: I start by understanding the business problem, not jumping to code. The best solution is often simpler than you think, and I'll tell you if something can be done with off-the-shelf tools before recommending custom development. When custom is the right call, I build software that's maintainable, documented, and designed to grow with you. No mystery code that only I can touch. Tech stack: Python, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, AWS, OpenAI/Anthropic APIs, n8n, Make. Whether you need a one-time build or an ongoing technical partner, I'm happy to discuss what you're trying to accomplish.

I close the gap between "works in demos" and "holds up in production." With 20+ years of engineering experience, I specialize in taking LLM-based systems, RAG pipelines, and data platforms from prototype to production-grade on AWS. I've built clinical AI agents for regulated healthcare environments, production RAG chatbots that reduced analysis time by 30%, and real-time streaming pipelines with 81% latency reduction. I don't just build AI systems — I make them fast, stable, and reliable under real usage. What I bring to your project: deep hands-on experience across the full AI + data stack — RAG pipelines, agentic workflows, MLOps infrastructure, and the AWS data platforms that power them. I think in terms of P95 latency, edge case failure rates, and production reliability, not just demo performance. AI & ML: RAG pipelines · LangChain/LangGraph · LlamaIndex · AI agents · vector search (FAISS, Pinecone, OpenSearch) · LoRA/QLoRA fine-tuning · MLflow · AWS Bedrock · OpenAI · Anthropic · PyTorch · Hugging Face Data Engineering: ETL/ELT · data lakes/lakehouses · Delta Lake · Apache Spark · Databricks · Kafka · Flink · Kinesis · schema modeling · governance Cloud & Infrastructure: AWS (ECS, Lambda, SageMaker, Glue, EMR, Redshift, DynamoDB, S3, Athena, CloudWatch) · Terraform · Docker · Kubernetes · GitHub Actions · Airflow Languages: Python · SQL · Java · PySpark · Bash

🚀 With 5 years of experience as a Data Engineer, Data Analyst, and Data Architect, I’ve had the opportunity to work across various industries — including SaaS, media, retail, e-commerce, and energy. I help startups and enterprise-level companies build reliable, scalable, and insightful data ecosystems that drive smarter business decisions. 🔧 My expertise lies in designing and deploying end-to-end data solutions — transforming complex environments into efficient, maintainable, and business-oriented architectures. 💡 What I Do - Collect and integrate data from multiple sources: APIs, web scraping, marketing platforms, and internal systems - Design and automate ETL/ELT pipelines using BigQuery, Airflow, and dbt - Build robust integrations with Google Ads, Bing Ads, Meta, Stripe, PayPal, Revolut, and other data sources - Model analytical databases using Star and Snowflake schemas - Optimize SQL performance and manage real-time orchestration with Airflow / Cloud Composer - Deploy and monitor workloads on GCP (Cloud Run, Cloud Functions, Pub/Sub, Logging) - Create advanced dashboards and reports in Looker Studio, Tableau, and Power BI ⚙️ Tech Stack Python, SQL, Airflow, dbt, Alteryx, Hevo Data, Cloud Composer, BigQuery, GCP, Looker Studio, Tableau, Power BI, Terraform, Docker, GitHub Actions 🎯 My Approach - End-to-end ownership — from data sourcing to business insights - Strong business understanding with a focus on ROI and performance marketing - Clean, reliable, and scalable code as the foundation of every project 📈 Selected Projects - Automated Google Ads / Bing Ads → BigQuery pipelines using dbt + Looker Studio - Centralized financial data from multiple PSPs (Stripe, PayPal, DLocal, Truevo, etc.) - Automated marketing and finance reporting workflows with dbt, GCP, and Airflow 📞 Let’s Build Something Great I’m available for remote projects in Data Engineering, Analytics, or Cloud Architecture. Let’s connect and design a solid, scalable, and data-driven infrastructure that turns information into impact.

I empower businesses through data by transforming chaotic raw data into structured, production-ready architectures. As an Analytics Engineer and Data Analyst, I specialize in the Modern Data Stack, utilizing dbt and Google BigQuery to build resilient data pipelines that emphasize quality and performance. My experience includes implementing dual-layer data quality checks with dbt schema tests and tailored Python auditing scripts, ensuring data integrity at every stage. My approach is grounded in the "Insight over Code" philosophy, prioritizing actionable insights that drive business value. If you are looking for a data professional who can enhance your data strategy and deliver comprehensive analytics solutions, let's connect and discuss how I can help optimize your data operations.

Profile Software and Data Engineer with a solid foundation in software development and deep expertise in data architecture, cloud infrastructure (AWS, GCP), and large-scale data processing using Spark, Airflow, and dbt. Experienced in designing robust, scalable systems across analytics, data platforms, and backend services. Proven ability to bridge technical and business needs to deliver reliable, data-driven solutions in fast-paced environments. Versatile and solution-oriented, with hands-on experience across a wide range of technologies and programming languages.

I am a Senior Data Analyst with over eight years of experience specializing in Property and Casualty insurance, marketplace, and financial services. I excel in analytics engineering, decision science, and business intelligence, leveraging advanced SQL on Snowflake, dbt transformations, and Python modeling. My expertise includes building robust dimensional models, designing experiments, and managing end-to-end source-to-target migrations. I transform ambiguous business questions into reliable data products that drive strategic decisions for Claims, Underwriting, Finance, Operations, and Distribution teams. With a proven track record of delivering quantifiable business impact and fostering cross-functional collaboration, I am dedicated to mentoring others in the field. If you're seeking a data expert who can unlock insights and support your business goals, I look forward to discussing your project.