I am an Applied ML Engineer with hands-on experience in designing and deploying production-ready AI and data lakehouse solutions. My expertise spans a wide range of technologies including Python, SQL, AWS, Apache Iceberg, and modern MLOps tools. I am passionate about automating workflows, building scalable AI platforms, and driving digital transformation to improve business outcomes. Currently based in Dubai, I have contributed to multiple projects including AI workflow automation, chatbot deployment, cloud data solutions, and production RAG systems integrating OpenAI APIs. My approach focuses on sustainable, cost-governed, and reliable AI-powered systems that improve user engagement and operational efficiency.

Aditya Ganesh

I am an Applied ML Engineer with hands-on experience in designing and deploying production-ready AI and data lakehouse solutions. My expertise spans a wide range of technologies including Python, SQL, AWS, Apache Iceberg, and modern MLOps tools. I am passionate about automating workflows, building scalable AI platforms, and driving digital transformation to improve business outcomes. Currently based in Dubai, I have contributed to multiple projects including AI workflow automation, chatbot deployment, cloud data solutions, and production RAG systems integrating OpenAI APIs. My approach focuses on sustainable, cost-governed, and reliable AI-powered systems that improve user engagement and operational efficiency.

Available to hire

I am an Applied ML Engineer with hands-on experience in designing and deploying production-ready AI and data lakehouse solutions. My expertise spans a wide range of technologies including Python, SQL, AWS, Apache Iceberg, and modern MLOps tools. I am passionate about automating workflows, building scalable AI platforms, and driving digital transformation to improve business outcomes.

Currently based in Dubai, I have contributed to multiple projects including AI workflow automation, chatbot deployment, cloud data solutions, and production RAG systems integrating OpenAI APIs. My approach focuses on sustainable, cost-governed, and reliable AI-powered systems that improve user engagement and operational efficiency.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Hindi
Advanced

Work Experience

Digital Transformation Management Intern at Estee Lauder, Kuala Lumpur
March 31, 2023 - August 27, 2025
Managed SAP Ariba data for over 20,000 clients and automated workflows, reducing repetitive work by 48% across 4 automation projects.
AI Workflow Architect & Strategist Intern at GLEAC, Dubai
March 31, 2025 - August 27, 2025
Deployed a chatbot that increased client interactions by 91% and reduced time waste by 33%. Rolled out AI tools across Technology, QA, Sales, HR, and Admin departments, and ran staff upskilling programs.
Artificial Intelligence Internship at Microsoft, Dubai
January 31, 2025 - August 27, 2025
Supported cloud and big-data AI projects, assisting in early-stage prototype testing.
Co-Founder (Advisory) at Bloomingdale Education, India
January 31, 2019 - August 27, 2025
Set up finance and security infrastructure and introduced AI as a teacher-assist advisor.
Artificial Intelligence Specialist at La Capitale, Dubai
September 1, 2024 - Present
Designed and deployed an Apache Iceberg data lakehouse on AWS S3 with Glue Data Catalog and Athena SQL access. Implemented Great Expectations validation to ensure less than 1% data loss on ~260k-row ingests. Built interactive Apache Superset 5.0 dashboards with Row-Level Security, deck.gl maps, and CRM embedding. Automated user onboarding and background tasks using REST API, Redis, and Celery. In production: WhatsApp Cloud API chatbots, FastAPI webhook + media workers, Postgres/pgvector retrieval. Defined production SLOs, cost caps, and incident/runbooks. Solo engineer role.
Automation Engineer at n8n
April 1, 2025 - Present
Handled RPA with UiPath and SAP RPA, implemented Model Context Protocol (MCP). Managed DevOps with Docker, Kubernetes (Helm), GitHub Actions (CI/CD), Amazon ECS & EKS, Redis, and Celery. Led analytics and dashboards using Apache Superset 5.0 (RLS/embedded), Power BI, Mapbox, and deck.gl.
Digital Transformation Management Intern at Estee Lauder, Kuala Lumpur
March 31, 2023 - August 27, 2025
Managed SAP Ariba data for 20,000+ clients and automated workflows to reduce repetitive tasks by 48% across 4 automation projects.
AI Workflow Architect & Strategist Intern at GLEAC, Dubai
March 31, 2025 - August 27, 2025
Deployed a chatbot that increased client interactions by 91% and reduced time waste by 33%. Rolled out AI tools across Tech, QA, Sales, HR & Admin departments and led staff upskilling initiatives.
Artificial Intelligence Internship at Microsoft, Dubai
January 31, 2025 - August 27, 2025
Supported cloud and big-data AI projects assisting in early-stage prototype testing.
Co-Founder (Advisory) at Bloomingdale Education, India
January 31, 2019 - August 27, 2025
Set up finance/security infrastructure and introduced AI as a teacher-assist advisor.
Artificial Intelligence Specialist at La Capitale, Dubai
September 1, 2024 - Present
Designed and deployed an Apache Iceberg data lakehouse on AWS S3 with AWS Glue Data Catalog and Athena SQL Access. Implemented Great Expectations validation to ensure <1% data loss on 260k-row ingests. Built interactive Apache Superset 5.0 dashboards with row-level security, deck.gl maps (Mapbox), and CRM embedding with YAML version-controlled dashboards via GitHub Actions CI/CD. Sole engineer for user onboarding automation and background tasks using Redis/Celery. Deployed production WhatsApp Cloud API chatbots integrating FastAPI webhooks and media workers, PostgreSQL/pgvector retrieval, established production SLOs, cost governance, and incident runbooks.
Automation Engineer at n8n
April 1, 2025 - Present
Developed RPA automation solutions using UiPath and SAP RPA with Model Context Protocol (MCP). Worked with Docker, Kubernetes (Helm), GitHub Actions (CI/CD), Amazon ECS, EKS, Redis, and Celery. Utilized Apache Superset 5.0 with RLS and embedded analytics along with Power BI, Mapbox, and deck.gl for visualization. Delivered production RAG systems combining FastAPI, PostgreSQL/pgvector, and OpenAI API on AWS data platforms (Apache Iceberg on S3 with Glue/Athena). Managed service level objectives, CI/CD pipelines, and cost governance.

Education

Bachelor of Computer Science (Hons) (Artificial Intelligence) at De Montfort University, Asia Pacific University (Dual Certification)
September 1, 2020 - November 30, 2024
Bachelor of Computer Science (Hons) (Artificial Intelligence) at De Montfort University, Asia Pacific University (Dual Certification)
September 1, 2020 - November 30, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Education, Financial Services, Professional Services, Software & Internet