Mohammad Adnan

About Mohammad Adnan

Senior Staff Software Engineer at GoogleI am a technical leader and architect specializing in large-scale software infrastructure and advanced AI systems. Currently, I serve as a Senior Staff Software Engineer at Google, where I lead cross-functional initiatives to architect next-generation software solutions that drive global impact. My focus remains on building robust, scalable infrastructure that supports complex applications across distributed computing and high-performance environments.Professional Evolution:Prior to joining Google, I held senior leadership roles at Intuit and Amazon (AWS). At Amazon, as a Principal Software Engineer, I pioneered key AWS Machine Learning services and architected AI-driven products that catalyzed business transformation. My work focused on the design and deployment of large-scale systems, particularly in the realms of generative AI and retrieval-augmented generation (RAG) technologies.Core Expertise:* Technical Leadership: Driving engineering excellence and setting technical direction for distributed teams of engineers.* System Architecture: Designing, developing, and maintaining massive-scale software solutions and cloud infrastructure.* AI/ML Innovation: Deep expertise in applying artificial intelligence to solve complex, ambiguous problems while maintaining operational excellence.* Strategic Impact: Influencing stakeholders and aligning technical outcomes with long-term business goals in highly matrixed organizations. I am committed to pushing the boundaries of what is possible in software engineering, ensuring that technology serves as a sustainable and innovative foundation for the future.

Experience

1. Principal Software Engineer

   Intuit

   Dec 2024 — Present · CA, US

   AI Strategy & Vision: Set the strategic direction for GenAI initiatives in Payroll, defining the product roadmap to leverage cutting-edge machine learning and large language model (LLM) capabilities for transformative business impact.Technical Leadership: Led cross-functional engineering and data science teams to architect and deliver scalable AI-first solutions, ensuring robust performance, high availability, and compliance with financial regulations.Generative AI Adoption: Pioneered the integration of advanced GenAI techniques—such as natural language understanding and automated document processing—to streamline and personalize payroll operations for millions of small business customers.System Architecture & Scalability: Designed and guided the implementation of microservices-based, cloud-native platforms, enabling real-time data processing and swift, automated updates to payroll calculations.Data Governance & ML Ops: Oversaw end-to-end ML pipelines, from data ingestion and feature engineering through model deployment, establishing best practices around CI/CD, versioning, model monitoring, and responsible AI principles.Cross-Functional Collaboration: Partnered closely with product managers, UX designers, and compliance teams to rapidly iterate on features, aligning AI-driven innovations with user needs, regulatory requirements, and market opportunities.Mentorship & Thought Leadership: Acted as a key mentor for emerging talent, fostering a culture of innovation and continuous learning; regularly shared insights on AI/ML trends at internal forums and external conferences.Business Impact & Innovation: Drove initiatives to optimize payroll processes—reducing manual overhead through automated compliance checks, anomaly detection, and real-time forecasting—delivering measurable improvements in customer satisfaction and operational efficiency.

Education

• IMS Ghaziabad

  MCA, Computer Science

  2007 — 2010

• Dr. Ram Manohar Lohia Awadh University

  Bachelor's degree, Maths, Physics, Chemistry

  2003 — 2006