Rajeev Veera

Software Engineer at Google (Cloud Firestore)

Large Language Models (LLMs)Agentic AI FrameworksDistributed SystemsCloud Infrastructure (AWS/Azure)Vector Databases & RAGSystem Optimization

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About

I'm Rajeev Veera, a Software Engineer at Google working on Cloud Firestore. My career has been a journey of bridging large-scale software engineering with cutting-edge AI. After two years at Amazon, where I focused on optimizing distributed systems and cloud costs, I pursued a Master’s in AI & Innovation at Carnegie Mellon to dive deep into LLMs and Agentic frameworks. I’m passionate about building AI that delivers measurable results—whether that’s improving learning outcomes in EdTech or streamlining complex industrial workflows. I love high-achievement, entrepreneurial environments and am always looking to connect with people in the SF or Pittsburgh tech scenes who are building production-ready ML systems or looking to optimize their cloud infrastructure.

Networking

What I can offer

›Expertise in building production-ready ML systems
›Experience scaling distributed systems at Amazon and Google
›Academic insights into Agentic AI and RAG from CMU
›Cloud cost and performance optimization strategies

Looking for

›expanding my professional network
›exploring mutual opportunities in the tech community in San Francisco and Pittsburgh

Best fit for

Tech entrepreneursAI researchersSoftware engineers in San Francisco and PittsburghEdTech innovators

Current Interests

Conversational AI and LLM-based agentsEdTech for K-12 students with dyslexiaCloud infrastructure cost optimizationReal-time API latency reductionCoding culture

Background

Career

Progressed from software engineering internships to full-time roles at Amazon, followed by a specialized Master's in AI at CMU while working in ML engineering and teaching, eventually joining Google Cloud Firestore.

Education

Master of Science in Artificial Intelligence & Innovation from Carnegie Mellon University (2023 – 2025); Bachelor of Engineering in Computer Science from Manipal Institute of Technology (2017 – 2021).

Achievements

›Reduced Amazon truck transport costs by 34% via data standardization
›Decreased AWS S3 storage requirements by 61%, saving $60,000 annually
›Developed an AI Co-pilot prototype that secured two paid clients for SwiftCX
›Maintained a 3.99/4 GPA at Carnegie Mellon University
›Reduced team ticket volume by 33% through real-time visibility tools

Opinions

Preference for high-achievement, entrepreneurial environments.
Believes in leveraging ML tools specifically to address measurable results and specific challenges rather than just for the sake of technology.