Agentic AI is more than automation — it's intelligent systems that reason, decide, and act. As a Principal Software Engineer specializing in Agentic AI and Generative AI, I architect production-grade multi-agent systems that ship at Fortune 500 scale from MCP server frameworks to custom GraphRAG engines.
Recognized for building AI systems the right way: secure, testable, observable, and compliant from day one.
Core strengths:
✅ AGENTIC AI SYSTEMS: End-to-end multi-agent pipeline design using MCP SDK, LangGraph, and CrewAI — from POC through production deployment.
✅ GENERATIVE AI & RAG: LangChain Agent + RAG systems, GraphRAG knowledge graph engineering, LLM orchestration with GPT-4, Azure OpenAI, and Gemini-Pro.
✅ PRODUCTION ML: Fraud detection, remittance matching, demand forecasting — petabyte-scale ML systems across Telecom, FinTech, and Media.
✅ ENGINEERING EXCELLENCE: TDD-first culture, microservices architecture, CI/CD, Docker, SOC2-compliant observability stacks.
✅ CROSS-FUNCTIONAL LEADERSHIP: Mentors engineers, establishes reference architectures adopted across teams, translates AI designs into clear technical roadmaps for leadership.
Open to Principal Software Engineer | Agentic AI, Staff AI Engineer, and Principal GenAI Engineer roles in Seattle/Redmond WA and SFO CA or remote. Contact: kushwanthchowdaryk@outlook.com
🔧 TECHNICAL SKILLS:
✓ Agentic AI: MCP SDK, LangGraph, CrewAI, LangChain, OpenAI Agents SDK
✓ GenAI & RAG: GPT-4, Azure OpenAI, Gemini-Pro, Pinecone, Azure AI Search, GraphRAG
✓ ML & MLOps: XGBoost, Random Forest, SageMaker, Vertex AI, ZenML, MLflow, PySpark
✓ Engineering: Python, FastAPI, Docker, Kubernetes, GitLab CI/CD, pytest
✓ Cloud: AWS (Lambda, Step Functions, ECR, CloudWatch) | Azure | GCP
