Sai Akhilesh Gade

Software Engineer with 5+ years of experience building scalable backend systems, cloud-native applications, and AI-powered solutions. My background spans Python, FastAPI, distributed systems, cloud infrastructure, and Generative AI, with hands-on experience developing production-grade services that prioritize reliability, performance, and maintainability.

At Wells Fargo, I worked on a real-time fraud detection platform processing over 40 million debit card transactions daily. I contributed to infrastructure automation, distributed workload optimization, monitoring systems, and incident management, improving system reliability and operational efficiency. I also designed an internal Retrieval-Augmented Generation (RAG) solution using vector search and LLMs to help engineers retrieve operational knowledge and resolve incidents faster.

My technical expertise includes Python, FastAPI, REST APIs, SQL, Elasticsearch, Docker, distributed systems, cloud platforms (AWS and Azure), CI/CD, and AI application development using LangChain, LangGraph, vector databases, embeddings, and modern LLMs. I enjoy designing backend architectures, solving complex engineering problems, and building intelligent developer tools that combine software engineering with Generative AI.

I'm currently seeking remote backend or AI engineering opportunities where I can build scalable products, contribute across the software lifecycle, and work with globally distributed engineering teams. I'm particularly interested in Backend Engineering, AI Infrastructure, RAG systems, LLM applications, Agentic AI, cloud platforms, and developer productivity tooling.