Building the Future: From COBOL to AI with Spart Parthasarathy

My guest today is S Parthasarathy, better known as Spart who is the founder at CuedIn Technologies.

In this episode, Spart shares his extensive journey in the software engineering field. 

Spart's story begins with his initial projects in COBOL programming at Tata Burroughs and the World Bank, working on critical systems in retail, logistics, and financial sectors. 

He recounts his impactful stint at SWIFT, contributing to the foundation of what has become modern-day financial messaging systems. Spart reflects on his decision to pivot from electrical engineering to computer science, driven by his interest in the engineering of large systems. 

He details his tenure at Ramco Systems, implementing document-based transactions, model-based code generation, and achieving several tech milestones, including internet integration and 32-bit upgrades. 

After Ramco, Spart's continued passion for software engineering led him to co-found a SaaS-based ERP solution company, targeting SMEs. Despite early challenges and market readiness issues, he gained crucial insights into cloud-native architectures.

Spart's career path took another turn towards consulting and exploring AI, specifically focusing on probabilistic graph learning and the challenges of natural language processing in software engineering. 

He emphasizes the importance of non-functional requirements, application architecture, and the potential of tools like Generative AI (GenAI) to enhance software development processes. Spart concludes by reflecting on the ongoing evolution of software engineering and his current projects aimed at making software engineering more accessible and efficient with modern tools.

Spart has 40+ years of experience in various aspects of software services area covering consultancy, business systems management, product development and Engineering management. Worked with large North American Organizations handling complex projects to implement transaction processing business solutions and data communication networks.

Key interests:

• Gen AI based solutioning for key business activities

• Gen AI enabled SW engineering

• Contextual social network driven approach for building business systems

• Predictive analytics over operational databases using Bayesian causal networks

• Implementing innovative platform based techno-commercial models for software solutions/services delivery.

• Cloud computing and SOA based multi-tenant solution Architecture

https://www.linkedin.com/in/spartp/