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From Software Engineering to Building Agentic AI Solutions

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Srikanth Akula

16+ years of experience

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Principal Software Engineer

Concentrix Catalyst

Picture of Principal Software Engineer

Principal Software Engineer

Concentrix Catalyst

Introduction

My name is Srikanth Thakula, and I have over 16 years of experience in the IT industry. I currently work as a Principal Software Engineer at Concentrix Catalyst, where I have been with the organization for around 11 years. Throughout my career, I have worked across multiple domains, including banking, logistics, and transportation, with a significant part of my experience focused on the railroad industry. I currently support a railroad client and lead a team of eight engineers across Nebraska and India. With a strong foundation in software development, I have always been interested in exploring new technologies and expanding my technical expertise.

Reason to Upskill

As technology continues to evolve, I believe it is important to keep learning and exploring new technical skills. I had previously started learning Azure and later became interested in AI engineering and Agentic AI. Before enrolling in the program, my exposure to AI was primarily limited to using large language models and prompt engineering. I wanted to go beyond that and understand how AI agents work, how different frameworks can be integrated, and how end-to-end AI solutions can be designed. My decision to upskill was driven by a personal goal to learn new technologies, strengthen my technical capabilities, and apply them to my professional work.

Applied Agentic AI: Systems, Design & Impact
Master agentic AI systems, planning frameworks, multi-agent ecosystems, and product strategy in a 10-week, practitioner-level program

Choosing Simplilearn

I first learned about Simplilearn through recommendations from friends and began exploring its programs alongside other available options. After researching different platforms, comparing their offerings, Simplilearn turned out to be the best choice. I started with the AI Engineer program in October 2025 and also pursued the Applied Agentic AI program to deepen my understanding of emerging AI technologies. The structured learning approach and practical focus aligned with my goal of gaining relevant skills that I could incorporate into my technical expertise.

Experience with the Program

My learning experience with Simplilearn’s Microsoft Applied Agentic AI program was very positive. The course helped me understand different AI frameworks and how to design and build the best Agentic AI solutions. I gained exposure to various frameworks, orchestration tools, and approaches to developing multi-agent systems. The practical sessions were especially valuable in helping me connect the concepts with real-world applications.

I particularly appreciated the guidance provided by my trainer, Apoorva, who patiently addressed our questions and supported us throughout the learning process. The Slack support channel was also helpful during offline practice hours, allowing me to raise queries and receive timely responses. The program strengthened my understanding of Agentic AI architecture, multi-agent systems, and the tools involved in building AI-powered solutions.

Impact

Before enrolling in the program, my experience with AI was largely limited to selecting language models and using prompts. I had little understanding of how to connect different components, choose suitable frameworks, or orchestrate AI agents to build complete solutions. Through the program, I gained practical exposure to tools and frameworks such as LangChain, LangGraph, AutoGen, CrewAI, n8n, and LangSmith. I also developed an understanding of agentic RAG, MCP tools, guardrails, and observability, which are important considerations when developing production-ready systems.

The program has significantly improved my confidence in designing and building end-to-end Agentic AI solutions. I now have a better understanding of how different frameworks and orchestration tools work together, as well as the real-world challenges involved in implementing them. This knowledge has expanded my technical capabilities and given me a stronger foundation to explore AI-driven solutions in my professional work. For other professionals looking to enter the field, I would recommend building a strong understanding of AI fundamentals before progressing to Agentic AI and more advanced applications.

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