Mukul Gupta
MukulGupta | Software Engineer/AI Consultant
Kanpur, India
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I am a Software Engineer, AI Consultant, and community builder with 4 years of experience architecting latency-sensitive production systems and real-time data pipelines. I specialize in production-grade Python, C++, and full-stack architectures, consistently driving system optimizations such as reducing latency by up to 40% via Docker and Kubernetes. I am a Jagriti Yatra 2024 alumnus, the creator of the agricultural tech initiative BioVerify AI, and I run a dedicated online educational community for developers. Driven by a commitment to ecosystem building, I frequently deliver specialized AI training lectures at various colleges to bridge the gap between academic theory and industrial application. I actively mentor junior engineers and am currently focused on advancing Conversational AI platforms, AI-driven automation tools, and Web3 innovation.
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Engineering Agentic Workflows: Lessons from Frontier Model Evaluation and Production CI/CD
While AI code assistants have become standard, the true engineering leap lies in transitioning to fully agentic workflows. Drawing from hands-on experience conducting advanced evaluation and supervised training of Frontier Models, including Anthropic architectures , this session bridges the gap between raw LLM capabilities and reliable software engineering lifecycles.
We will explore how to move beyond basic autocomplete to design structured scenarios that test Agentic AI tools across distributed codebases and APIs. Attendees will learn how to develop robust evaluation rubrics using JSON and YAML formats to ensure models produce secure, production-ready code. Furthermore, the talk will demonstrate practical applications, such as championing GitHub Copilot within daily engineering workflows to accelerate the creation of backend services , and utilizing Generative AI for faster root-cause analysis of CI/CD pipeline failures. We will also touch upon implementing these techniques in end-to-end architectures, drawing on practical paradigms like computer vision integrations for real-world systems such as BioVerify AI. By understanding the reasoning limitations of frontier models, teams can leverage advanced prompt engineering to build resilient, AI-assisted development pipeline
Mukul Gupta
MukulGupta | Software Engineer/AI Consultant
Kanpur, India
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