Siddhant Raman Is Building at the Intersection of AI, Cloud Engineering and Entrepreneurship

October 06, 2026 -/ SP Tech Solutions- As artificial intelligence and cloud computing reshape the technology industry, engineers working behind these technologies are helping determine how businesses build, operate and scale. Siddhant Raman, a software engineer at Oracle America, has built his career around this intersection, working across
software engineering, artificial intelligence and multi-cloud infrastructure.

Raman joined Oracle America in October 2024 in Redwood Shores, California. Before Oracle, he worked at Informatica, gaining experience in enterprise cloud systems and multi-cloud technology. He has more than four years of professional software engineering experience spanning cloud infrastructure, distributed systems and AI-related technologies.

His technical work includes cloud-native distributed services on Oracle Cloud Infrastructure, microservices-based architectures and REST APIs supporting enterprise environments. His experience also extends to systems serving eCommerce, customer relationship management, supply chain management and enterprise resource planning. At Informatica, he contributed to components aimed at improving the adaptability of data-engineering systems across multiple cloud environments.

Artificial intelligence is another major area of Raman's work. His projects include InfaCollab, an AI-powered collaborative mapping tool, and AI-driven FinOps initiatives designed to generate insights into cloud spending. He has also worked on explainable AI, human-in-the-loop systems and safeguards for agentic AI, while exploring questions around ethics and transparency in large language models.

The practical impact of this work can be seen in cloud cost optimization. An AI-driven FinOps initiative reduced monthly cloud spending by 2.5× through optimized resource allocation, while Raman's multi-cloud work helped improve developer efficiency by 30%. His technical experience spans Oracle Cloud Infrastructure, Amazon Web Services, Google Cloud Platform and Microsoft Azure.

Raman's work extends beyond software engineering into research and the wider technology community. He has authored four publications examining artificial intelligence, large language models and technology's role in decision-making and industry. His publications include Ethical Imperatives For The New Age Of LLM and Deciphering Destiny: The Rise of Large Language Models in Decision-Making
Mastery, both published by Enterprise Tech Journal; Better Data And Decisions: How LLMs Are Rewiring Communication, published by Cloud Computing Magazine; and How AI and LLMs are Changing the Industrial Marketplace, published by the IEEE Computer Society.

His published research has received more than 200 citations on Google Scholar, reflecting an academic and professional interest that extends beyond his day-to-day engineering work. Raman has also been featured in publications including Tech Times, Forbes and IBTimes, and has participated in hackathon judging at Code4Hope, UC Davis, UC Santa Cruz, UCLA and UC Berkeley.

His combination of engineering and research has shaped a broader entrepreneurial ambition. Raman plans to build a U.S.-based technology company focused on making sophisticated enterprise AI and multi-cloud infrastructure more accessible to mid-sized businesses. The proposed venture would focus on trustworthy and explainable AI, FinOps optimization and technologies that could reduce the need for smaller organizations to maintain large in-house engineering teams.

He also envisions creating U.S.-based engineering and product positions while developing commercial technology that helps mid-sized companies adopt advanced cloud and AI capabilities.

That ambition builds on an academic foundation in computer science and mathematics. Raman earned a Bachelor of Science in Computer Science with a minor in Mathematics from the University of South Florida in 2022, graduating with a 3.85/4.00 GPA. His coursework included software engineering, database
design, data structures, algorithms and operating systems.

For Raman, the progression from software engineer to technology entrepreneur is about applying technical expertise to broader problems. AI can help organizations automate processes and support decision-making, while cloud infrastructure can make sophisticated computing capabilities more accessible.

As technology continues to evolve around artificial intelligence, automation and multi-cloud infrastructure, Raman's career reflects a broader transition from building complex systems to exploring how those systems can become products, businesses and opportunities for others.

About Siddhant Raman

Siddhant Raman is a software engineer at Oracle America whose work spans software engineering, artificial intelligence, cloud infrastructure and multi-cloud systems. He is also a published author and technology researcherfocused on AI, large language models and technology-driven decision-making.