Praveen Sharma

About Praveen Sharma

I am a software engineer who enjoys working with new technologies and solving real-world problems using strong mathematical and logical thinking. I have hands-on experience building and scaling backend systems and Golang-based microservices, including designing REST APIs used in high-throughput production environments.I am particularly strong in performance optimization and system architecture, where I enjoy improving scalability, reliability, and efficiency of distributed systems. I have worked extensively with concurrency, caching, and data-intensive services to deliver robust solutions at scale.Alongside backend engineering, I have actively driven and implemented GenAI initiatives, including building AI agents and RAG-based systems to automate workflows and improve developer productivity. I am an enthusiastic learner, a collaborative team player, and enjoy working with people from diverse backgrounds while continuously exploring new technologies to grow as a better software engineer.

Experience

1. Member of Technical Staff

   Oracle

   Jan 2025 — Present · Bengaluru, IN

   Designed and developed a highly scalable Retrieval-Augmented Generation (RAG) AI agent using LLMs, Python, and LangChain, applying strong system design, problem-solving, and database skills to generate end-to-end test scenarios for RDBMS features. Implemented robust unit testing, performance optimizations, and ensured high testability, resulting in 70% reduction in manual effort and 10% improvement in test coverage. Collaborated cross-functionally using strong communication skills and agile practices.2. Engineered a distributed, AI-assisted retrieval-generation platform for automated codebase coverage validation, enabling complete code ingestion, vector-based retrieval, and scalable microservice interactions. Integrated CI/CD workflows, added instrumentation for observability, and performed rigorous code reviews to maintain code quality—achieving 80% detection precision. Mentored team members on architecture, automation strategy, and cloud-based deployment best practices.3. Developed an automated content ingestion pipeline for the AI Agent Factory using advanced Python scripting, applying clean-code principles, reusable components, and unit tests. Built functionality to fetch web content, convert it to PDF, and persist it in the application’s database, integrating seamlessly with internal APIs and cloud storage workflows. Improved system reliability and reduced agent creation time by 10% through workflow automation and CI/CD integration.

Education

• Jawahar Navodaya Vidyalaya - JNV

  High School Diploma

• National Institute of Technology Warangal

  Bachelor of Technology - BTech, Electrical and Electronics Engineering

  2018 — 2022