How do I become a software engineer?

Becoming a software engineer requires mastering fundamentals: data structures, algorithms, and at least one programming language (Python is recommended in 2026). Build real projects, contribute to open source, and earn cloud certifications (Azure, AWS). Principal Software Engineer Raghavendran V went from a computer science degree at Madras Institute of Technology to 12+ years in enterprise tech — the consistent thread is deliberate practice and project-based learning.

What is a Generative AI guide for software engineers?

A Generative AI guide for software engineers covers: (1) foundations — LLMs, prompt engineering, and embeddings; (2) frameworks — LangChain and LangGraph for agentic workflows; (3) cloud deployment — Azure OpenAI Service and Azure AI Foundry; (4) production concerns — RAG pipelines, guardrails, latency, and cost management. Raghavendran V specialises in LangGraph-based multi-agent orchestration and Azure OpenAI deployments in healthcare data platforms.

What makes a great software engineering portfolio?

The best software engineering portfolio demonstrates real-world impact over toy projects: quantify outcomes (e.g. '50 PB+ data processed'), show architectural decisions, link to live demos or GitHub repositories, and reflect expertise depth in a focused domain. A Principal Software Engineer portfolio should highlight leadership, system design, and cross-functional delivery — not just code snippets.

Who is Raghav the software engineer?

Raghav (Raghavendran V) is a Principal Software Engineer with 12+ years of experience in Generative AI, LangGraph agentic workflows, Azure cloud platforms, Apache Spark, and large-scale data engineering. He holds a postgraduate degree in Artificial Intelligence from BITS Pilani and currently works at Optum, where he architects enterprise-grade data and AI platforms in healthcare technology. He is also a long-distance marathon runner.

Raghavendran

Principal

Architecting scalable data platforms & intelligent systems at the intersection of cloud, AI, and engineering excellence.

10+ Years Experience

50+ Projects Delivered

50PB+ Data Processed

15+ Engineers Mentored

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LangGraph Generative AI Azure OpenAI PySpark Databricks Power BI Python

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about me

The Engineer Behind the Platform

I'm a Principal Software Engineer with 10+ years of experience designing and delivering enterprise-grade data engineering platforms, cloud-native architectures, and AI-augmented solutions.

Core focus: distributed data processing (Apache Spark/PySpark), agentic workflow orchestration with LangGraph, and executive-ready analytics (Power BI). I thrive where engineering rigor meets business impact.

Beyond building platforms, passionate about growing engineering teams — mentoring engineers, establishing data governance practices, and translating ambiguous business requirements into precise technical roadmaps.

📍 United States

🏃 Long-distance runner & marathon enthusiast

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Raghavendran

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