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I am a Senior Data Engineer with 3+ years designing and operating production data and AI systems with strong guarantees on reliability, performance, and cost. I own end-to-end data platforms, distributed processing workflows, and LLM-driven inference systems, from architecture through production operations. I have built scalable pipelines, semantic search systems, RAG-based applications, multi-agent workflows, and AI-powered document intelligence with a focus on correctness, latency, and operational efficiency. I am Azure-certified in Data, AI, and Cloud Fundamentals.…I am a Senior Data Engineer with 3+ years designing and operating production data and AI systems with strong guarantees on reliability, performance, and cost. I own end-to-end data platforms, distributed processing workflows, and LLM-driven inference systems, from architecture through production operations. I have built scalable pipelines, semantic search systems, RAG-based applications, multi-agent workflows, and AI-powered document intelligence with a focus on correctness, latency, and operational efficiency. I am Azure-certified in Data, AI, and Cloud Fundamentals.

Muhammed Afnas

Data Scientist, Data Analyst, AI Engineer, +1

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I am a Senior Data Engineer with 3+ years designing and operating production data and AI systems with strong guarantees on reliability, performance, and cost. I own end-to-end data platforms, distributed processing workflows, and LLM-driven inference systems, from architecture through production operations. I have built scalable pipelines, semantic search systems, RAG-based applications, multi-agent workflows, and AI-powered document intelligence with a focus on correctness, latency, and operational efficiency. I am Azure-certified in Data, AI, and Cloud Fundamentals.…I am a Senior Data Engineer with 3+ years designing and operating production data and AI systems with strong guarantees on reliability, performance, and cost. I own end-to-end data platforms, distributed processing workflows, and LLM-driven inference systems, from architecture through production operations. I have built scalable pipelines, semantic search systems, RAG-based applications, multi-agent workflows, and AI-powered document intelligence with a focus on correctness, latency, and operational efficiency. I am Azure-certified in Data, AI, and Cloud Fundamentals.

Available to hire

I am a Senior Data Engineer with 3+ years designing and operating production data and AI systems with strong guarantees on reliability, performance, and cost. I own end-to-end data platforms, distributed processing workflows, and LLM-driven inference systems, from architecture through production operations.

I have built scalable pipelines, semantic search systems, RAG-based applications, multi-agent workflows, and AI-powered document intelligence with a focus on correctness, latency, and operational efficiency. I am Azure-certified in Data, AI, and Cloud Fundamentals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Engineer II at McKinsey & Company

January 1, 2025 - Present

Designed and operated AI inference systems for engineering drawing analysis and product teardown, integrating structured data pipelines with LLM-based reasoning to generate component-level insights. Architected distributed AI inference pipelines with parallel task execution, supervision, and deterministic validation to improve correctness and reduce end-to-end latency. Owned system design including model selection, evaluation framework, cost optimization, and latency tuning for production-grade deployments. Designed relational schemas and data models supporting AI-driven workflows, ensuring data integrity, query performance, and horizontal scalability across batch and near-real-time pipelines. Built modular, idempotent ETL pipelines using Python-based frameworks with failure recovery and retry semantics. Established observability infrastructure tracking accuracy, latency, failures, cost, and throughput metrics. Implemented monitoring and alerting for production AI workflows. Owned prod

Data Engineer I at McKinsey & Company

January 1, 2023 - December 1, 2024

Designed and built backend data platforms supporting semantic search, document intelligence, and AI-assisted analytics for production applications. Implemented retrieval-augmented generation (RAG) systems combining vector similarity search with structured data and contextual LLM inference. Developed scalable REST APIs using Python frameworks enabling integration between AI components, data pipelines, and downstream consumers. Designed and maintained relational data models and pipelines supporting high-volume analytical workloads. Built and deployed cloud-native infrastructure using containerization, managed compute, object storage, and relational databases. Implemented CI/CD pipelines with automated testing, deployment workflows, and infrastructure-as-code. Developed internal monitoring tools tracking AI system accuracy, confidence scores, operational costs, and latency. Diagnosed and resolved performance bottlenecks through profiling and optimization. Built idempotent data pipelines w

Solution Delivery Analyst at McKinsey & Company

August 1, 2022 - December 1, 2022

Designed initial data models, processing pipelines, and ETL logic for a data automation platform. Built data ingestion workflows integrating multiple sources including APIs and web scraping. Implemented data validation and quality checks ensuring consistency and correctness. Developed dashboards and reporting tools enabling data exploration and operational monitoring. Designed idempotent refresh workflows supporting production data operations.

Knowledge Consulting Intern at McKinsey & Company

January 1, 2022 - July 1, 2022

Developed Python- and SQL-based data extraction and transformation workflows supporting analytical and automation use cases. Performed data cleaning, validation, and exploratory analysis to ensure accuracy and consistency across datasets. Built reusable SQL queries and data views for aggregation, reporting, and downstream analysis. Supported early-stage data automation initiatives by contributing to pipeline logic and performance optimization.

Summer Trainee at ONGC (Oil & Natural Gas Corporation Limited)

June 1, 2019 - July 1, 2019

Designed De-Ethanizer Column to maximize LPG production, conducting process optimization analysis. Studied upstream natural gas processing operations and prepared P&ID diagrams for storage infrastructure.