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Hi, I’m Venkatesh Sundaram, an AI Engineer based in Sydney, Australia. I design and deploy AI-driven workflow automation and generative AI solutions to streamline business operations. I specialize in building scalable AI systems that blend document intelligence, embeddings, and retrieval-augmented workflows to improve decision making and operational efficiency. I enjoy collaborating with cross-functional teams to translate business requirements into practical automation, leveraging RAG, agentic AI workflows, and Python-based microservices. My goal is to reduce manual effort, enhance governance and explainability, and deliver measurable impact across regulated domains and enterprise processes.…Hi, I’m Venkatesh Sundaram, an AI Engineer based in Sydney, Australia. I design and deploy AI-driven workflow automation and generative AI solutions to streamline business operations. I specialize in building scalable AI systems that blend document intelligence, embeddings, and retrieval-augmented workflows to improve decision making and operational efficiency. I enjoy collaborating with cross-functional teams to translate business requirements into practical automation, leveraging RAG, agentic AI workflows, and Python-based microservices. My goal is to reduce manual effort, enhance governance and explainability, and deliver measurable impact across regulated domains and enterprise processes.

Venkatesh Sundaram

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Venkatesh Sundaram, an AI Engineer based in Sydney, Australia. I design and deploy AI-driven workflow automation and generative AI solutions to streamline business operations. I specialize in building scalable AI systems that blend document intelligence, embeddings, and retrieval-augmented workflows to improve decision making and operational efficiency. I enjoy collaborating with cross-functional teams to translate business requirements into practical automation, leveraging RAG, agentic AI workflows, and Python-based microservices. My goal is to reduce manual effort, enhance governance and explainability, and deliver measurable impact across regulated domains and enterprise processes.…Hi, I’m Venkatesh Sundaram, an AI Engineer based in Sydney, Australia. I design and deploy AI-driven workflow automation and generative AI solutions to streamline business operations. I specialize in building scalable AI systems that blend document intelligence, embeddings, and retrieval-augmented workflows to improve decision making and operational efficiency. I enjoy collaborating with cross-functional teams to translate business requirements into practical automation, leveraging RAG, agentic AI workflows, and Python-based microservices. My goal is to reduce manual effort, enhance governance and explainability, and deliver measurable impact across regulated domains and enterprise processes.

Available to hire

Hi, I’m Venkatesh Sundaram, an AI Engineer based in Sydney, Australia. I design and deploy AI-driven workflow automation and generative AI solutions to streamline business operations. I specialize in building scalable AI systems that blend document intelligence, embeddings, and retrieval-augmented workflows to improve decision making and operational efficiency.

I enjoy collaborating with cross-functional teams to translate business requirements into practical automation, leveraging RAG, agentic AI workflows, and Python-based microservices. My goal is to reduce manual effort, enhance governance and explainability, and deliver measurable impact across regulated domains and enterprise processes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI / Machine Learning Intern (Paid Contract) at KUBER Financial

August 1, 2025 - Present

Designed and deployed an AI-driven automation platform combining document AI, embeddings, and NLP to streamline regulated KYC onboarding workflows and reduce manual document review processes. Architected end-to-end Python-based AI microservices implementing RAG-style retrieval logic, structured prompt engineering, and similarity models to automate document verification and data extraction tasks within onboarding systems. Balanced non-deterministic LLM reasoning with deterministic validation controls, similarity thresholds, and structured logging to ensure explainability, reliability, and governance-aligned automation across high-variance financial data. Delivered scalable AI-driven automation capable of processing large volumes of onboarding data, reducing manual intervention while maintaining compliance, traceability, and operational stability.

AI Systems Engineer (Industry Project) at DVINE Experiences

September 1, 2025 - November 1, 2025

Delivered an AI-enabled CRM automation platform integrating conversational AI agents and intelligent workflow automation to streamline customer enquiry handling and operational processes. Developed backend APIs and orchestration logic connecting AI agents with internal data sources, enabling automated responses, workflow routing, and intelligent customer interaction management. Implemented structured prompt engineering, controlled agent flows, and validation mechanisms to ensure predictable outputs, maintainability, and stable performance across real-world operational environments. Replaced repetitive enquiry-handling workflows with AI-driven automation, improving operational efficiency and enabling non-technical stakeholders to manage AI-assisted processes.

Graduate Trainee – Creatio CRM Analyst at PSIOG Digital

February 1, 2022 - January 1, 2023

Worked on the enterprise Creatio CRM platform with a focus on workflow automation, data modelling, and business process configuration within cloud-hosted CRM environments. Designed structured data models, validation rules, and automated workflows supporting multiple operational processes and large transactional datasets within enterprise CRM systems. Balanced low-code CRM tooling with backend configuration and cloud deployment considerations to ensure data integrity, reliable process automation, and scalable system operations.