About Me

Machine Learning Engineer | AI Innovator | Mentor

Ram Sathyavageeswaran

Hello, I'm Ram

I'm a Machine Learning Engineer with a passion for building intelligent systems that solve real-world problems at scale. With years of experience in the tech industry, I've had the privilege of working with leading companies to design and implement machine learning solutions that power critical business functions and enhance user experiences.

Professional Journey

My journey in AI/ML has taken me through various domains, from e-commerce to fintech, where I've specialized in developing recommendation systems, search ranking algorithms, and large-scale machine learning infrastructure. I'm particularly interested in the intersection of machine learning and software engineering, focusing on building systems that are not only accurate but also reliable, scalable, and maintainable in production.

Experience

12+ years of industry experience, including 8+ years specializing in building and deploying production-grade machine learning systems.

Expertise

Specialized in recommendation systems, ML infrastructure, and large-scale distributed systems.

Areas of Expertise

Machine Learning

  • Recommendation Systems
  • Search & Ranking
  • Natural Language Processing
  • Computer Vision
  • Time Series Analysis

Engineering

  • ML System Design
  • Distributed Systems
  • Cloud Infrastructure
  • MLOps & DevOps
  • Performance Optimization

Professional Experience

Senior Machine Learning Engineer

May 2024 – Present

Intuit Inc - Mountain View, USA

  • Train and fine-tune open-source large language models (LLMs) for supervised learning tasks, focusing on classification and multi-class labeling applications
  • Developed and optimized an inference service for identifying returns with high accuracy, leveraging expertise in evaluation phrasing
  • Designed and built an ML batch pipeline to analyze Transactional Net Promoter Score data from customer satisfaction surveys
  • Improved the performance of an inference service by developing a classification model for resolution tracking

Senior Machine Learning Engineer

Jun 2022 – March 2024

Wayfair Inc - Seattle, USA

  • Built ML Platform capabilities for Wayfair text and image catalog DS models
  • Led the implementation of Google Vertex AI Pipeline and Vertex Vector Search, achieving an 80% boost in platform efficiency
  • Refined models for superior efficiency, enabling sub-millisecond latency in online inference and scaling to handle 28M+ catalog items
  • Delivered $7M in revenue increase by scaling production capabilities and optimizing batch processing
  • Conducted 20+ tech talks and workshops on ML and Software Engineering best practices

Machine Learning Engineer III

Sep 2019 – June 2022

Expedia Group - Seattle, USA

  • Shipped Regression ML models to production generating over $20M in revenue
  • Designed and implemented Inference engine and command-line tools for ML models
  • Created feature pipeline and infrastructure for online feature store
  • Reduced model deployment's cloud costs by 38% through resource optimization
  • Mentored new engineers through structured training programs and documentation

Machine Learning Engineer II

Jun 2017 – Aug 2019

Vrbo / HomeAway.com - Seattle, USA

  • Led marketplace ranking algorithms to determine property sort positions in search results
  • Enhanced ranking and search services through microservice architecture redesign
  • Improved system performance and scalability of property recommendation systems

Education

M.S. in Software Engineering

2015 - 2017

The University of Texas at Dallas, USA

Specialization in Software Engineering, Search and Relavance ML, AI & Cloud Computing

B.E. in Computer Science

2007 - 2011

Anna University, India

Graduated with Honors

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Get In Touch

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