# Mahesh G. > Technology Thought Leader | AI & Software Innovation Expert | IEEE Senior Member & Reviewer | Speaker | Mentorship & Career Growth Advocate Location: Seattle, Washington, United States Profile: https://flows.cv/maheshg Staff Software Engineer | AI Systems & Experimentation Platforms | LLMs • RLHF • Scalable Architecture I’m a Staff-level Software Engineer and IEEE Senior Member specializing in AI Systems and Platform Architecture, with 12+ years of experience at Expedia Group and Amazon designing large-scale distributed systems, LLM-based experimentation frameworks, and intelligent personalization platforms. My focus is on building production-grade AI infrastructure—from LLM orchestration and reinforcement learning (RLHF, contextual bandits) to experiment tracking and real-time personalization—that turns research into measurable business outcomes. I’ve led architecture for Conversational Intelligence systems, model evaluation pipelines, and AI-driven notification optimization, improving latency, throughput, and engagement across millions of users. I’m passionate about technical leadership, mentorship, and AI ethics, helping teams bridge deep learning research with scalable engineering. Outside work, I contribute to the community as an IEEE reviewer, Globee Awards judge, and active AI research author exploring reinforcement learning via sequence modeling and LLM alignment. ## Work Experience ### Mentor @ Startupbootcamp Jan 2024 – Present | United States ### Senior Software Engineer @ Expedia Group Jan 2023 – Present | Seattle, Washington, United States • Building conversational intelligence products and services for Expedia Group's Conversation Platform. • Led the design for building Experimentation Platform framework for alignment techniques such as instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine-tuning such as p-tuning, adaptors, LoRA, and so on to improve use cases. • Led the design and implementation of a new micro-services architecture, resulting in a 30% improvement in system performance. • Mentored junior engineers, helping them enhance their technical skills and contribute effectively to the team. • Collaborated with product managers to define and prioritize features, ensuring alignment with business goals. • Implemented best practices for code quality and testing, leading to a 20% reduction in bug reports. ### Senior Software Development Engineer @ Amazon Jan 2021 – Jan 2023 | Greater Seattle Area • As a Senior Engineer, I continue to be a force multiplier by mentoring ~25 SDEs, DEs, DS who have evolved to next levels in their own job family at Amazon • Collaborated with 13 Senior engineers SME group for Amazon – we are responsible for creating Amazon SDE Online Assessment Coding Questions to hire SDEs across Amazon. We architected about 50+ Amazon SDE Coding questions which has been used to evaluate more than 20K SDE 1s & 2s globally by the recruiting engine • Built a Computer Vision model to track the dwelling pallets. Improved Precision to 97.4% and recall to 83% • Designed the next-gen platform for data extraction and pipeline building. We improved the data interoperability between Redshift, MySQL, S3, RDS and Emailer. Designed the platform with Apache Airflow 2.0, AppSync, MWAA to feed metadata, DynamoDB, CDN and React • Designed Time-to-Live mechanism that bridges the data in-flight between Amazon DynamoDB and Kinesis data streams.Built the record processor to compile parallell on the checkpoints of the processed records of all the shards that it manages and reduced memory overhead by 17%. • Spearheaded a team of 4 SDEs + 2 DEs, to build a system similar to Git for archival of huge data file and to pre-process 14TB data based on the authentication levels. Tech stack involves AWS streams, EMR, ECS, Kubernetes, DynamoDB, Redis, S3 and REST • As part of Operational Excellence, I authored a document on Effective Design Document Writing which is being used by more than 33+ project designs • Built a Continuous Deployment Pipeline mechanism Edge Deployer using MQTT topics to enable wave deployments and to perform load balancing effectively. The sensor fusion mechanism was later converted into a library construct which is being used by more than 100+ teams across Amazon • Identified a real-time problem to address safety hazards at 350 Amazon FCs. Built a deep-learning model to eliminate the potential human safety hazards, reduced the manual touchpoints by 87% ### Software Development Engineer @ Amazon Jan 2017 – Jan 2021 | Seattle, Washington, United States ### Software Engineer @ SAP Jan 2017 – Jan 2017 | Palo Alto, CA, USA 1. Developing a module to build and consume business objects as Cloud services. 2. SAP Hybris & Cloud: Developing an application to build and consume business objects as Cloud services. Also, to ensure mobility for end users with RUI Framework – Javascript, Node.js, XML, CSS, OpenUI5, Java, Less, Qunit. ### Graduate Teaching Assistant (Course Producer) @ University of Southern California Jan 2015 – Jan 2016 | Greater Los Angeles Area 1. Conduct and guide the course 2. Responsible for class hours for the course 'Principles of Software Development' for helping out students. 3. Tutor lab sessions for ~30 students. 4. Evaluate and grade software assignments developed by students. 5. Topics include Object-Oriented Design Paradigm, Event-driven Programming, GUI, Networking, Concurrency, RPC, RMI and Web Services. ### Directed Research @ University of Southern California Jan 2015 – Jan 2016 | Los Angeles, CA, USA 1. Software Developer under the guidance of CS Emeritus Distinguished Professor. Barry W. Boehm 2. Full Stack Developer responsible for designing and developing software application which automates the custom coded and handcrafted reports with better Quality Metrics & Maintainability Index ### Vice President of Technology @ Droom Jan 2012 – Jan 2016 | India - Develop a technology roadmap aligned with business objectives and future goals. - Oversee product architecture, infrastructure decisions, adoption of emerging technology, and long-term platform evolution. - Drive innovation initiatives, evaluate and integrate cutting‑edge tools or services that provide business differentiation. - Collaborate with executive leaders, product, operations, and external partners to ensure technology supports both short- and long-term business goals - Scalable, secure and resilient architecture for mobile app to handle thousands of persistent connections using AWS Cloud - Lead the design and development of both mobile app and back-end services - Deployment and monitor the service in AWS Cloud - With a team of 8, built and launched functional mobile app within 6 months from the start - Lead the Marketing, Strategy and customer interactions - Mobile App reached to 50,000+ downloads within 6 months from the launch ### Software Engineer Intern @ Barracuda (NYSE: CUDA) Jan 2016 – Jan 2016 Developed an application to check for SSL encryption for the web URLs using Python. Automated a test bench application to test UI test cases using Java Spring, Maven, Messaging Services, Selenium WebDriver 2.0. ### Software Engineer @ Tata Consultancy Services Jan 2012 – Jan 2015 Full Stack Developer | Web development using JEE frameworks. Infrastructure administration of IBM WAS 8.5 application server & Weblogic 12C ## Education ### Master’s Degree in Computer Science University of Southern California Jan 2015 – Jan 2017 ### Bachelor’s Degree in Computer Science Anna University Chennai Jan 2008 – Jan 2012 ### High School in Computer Science BMHSS Jan 2007 – Jan 2008 ## Contact & Social - LinkedIn: https://linkedin.com/in/maheshganesamoorthi - Website: http://www-scf.usc.edu/~ganesamo/portfolio.html --- Source: https://flows.cv/maheshg JSON Resume: https://flows.cv/maheshg/resume.json Last updated: 2026-03-22