🚀 Building AI systems that create impact, optimize operations, and deliver business value

Design and implement AI-driven products, intelligent systems, and data solutions that extract meaningful patterns from diverse and complex datasets to deliver actionable intelligence for strategic business decisions. Current focus is on real-world problem solving, product optimization, and scalable deployments.

• Impact-First Approach: Every model or system I build is tied to real business goals — improving efficiency, reducing costs, or enhancing decision-making.
• End-to-End System Design: From data collection and preprocessing to model deployment and monitoring, I ensure workflows are optimized, scalable, and maintainable.
• MLOps Integration: Continuous integration, testing, deployment, and monitoring of models for reliable production AI systems.
• Product Data Science: Leveraging data-driven insights to inform product strategy, optimize features, and enhance user experience.
• Business & Tech Alignment: AI solutions are strategically aligned with business objectives, maximizing ROI.
• Continuous Innovation: Exploring emerging AI frameworks, MLOps pipelines, and analytics tools to keep products future-ready.

• Deep Learning, Transformers(Vision, Text, Audio), Anomaly Detection, Predictive Modeling, Sequentail Data & Time Series Data Forecasting

• Databases, Data Warehouses, Big Data Pipelines, Stream Mining, Preprocessing, Multidimensional Analysis

• Web Mining, Social Media Analytics, Social Network Analysis, ERP Data Intelligence

• CI/CD pipelines, Model Versioning, Monitoring, Automation, Scalable Production Pipelines

• Feature Analysis, A/B Testing, User Behavior Analytics, Product Optimization Metrics

• Workflow automation, product optimization, business process improvement

• Python, FastAPI, Docker, Node.js, Express.js, DevOps, Full-Stack Backend Development

• React, Next.js, Tailwind

• MySQL, PostgreSQL, MongoDB, Data Warehouses

• PyTorch, LangChain, CREW AI, LangSmith, LangGraph, AutoGen, Semantic Control

• Matplotlib, Seaborn, Plotly, Power BI, Tableau

• Anomaly & Outlier Detection: Real-time monitoring systems that reduced operational risk by 20%
• Time Series Forecasting: Sales and inventory prediction models that optimized supply chains by 25%
• AI-Powered Business Solutions: Integrated ML models into ERP systems to streamline decision-making and resource management
• Product Data Science Insights: Delivered actionable insights to optimize product features, user experience, and adoption metrics
• MLOps Pipelines: Built CI/CD pipelines for model deployment, monitoring, and continuous optimization
• Social & Web Analytics Dashboards: Delivered insights to improve marketing strategy and customer engagement

I’m open to collaborations, AI product development, MLOps, and projects that generate measurable impact:

• LinkedIn: https://www.linkedin.com/in/inayatrahim
• Email: inayatrahim006@gmail.com
• GitHub: https://github.com/inayatrahimdev

“I don’t just build AI models—I design systems that optimize business processes, enhance products, and create tangible impact, while ensuring models are production-ready, scalable, and integrated across backend, frontend, and databases.”