# Rathi Thiagarasu

> Software Engineer II - Applied Machine Learning

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/rathithiagarasu

As a results-driven Applied Machine Learning Engineer, I specialize in building scalable backend systems and intelligent ML pipelines that drive impactful business outcomes. At Linqia, I’ve led the design and deployment of microservices and real-time data pipelines for influencer discovery and gender prediction systems, combining technologies like FastAPI, Kafka, Pinecone, and OpenSearch to deliver high-performance search and recommendation features.

With a strong foundation in Python, Java, and SQL—and deep expertise in neural networks, distributed systems, and cloud-native architectures—I thrive at the intersection of engineering and data science. My work includes deploying deep learning models in production, developing influencer analytics systems, and optimizing backend infrastructure for performance and observability.

I hold a Master's degree in Electrical Engineering with a specialization in Machine Learning from San Jose State University and am a gold medalist in my undergraduate program. I’m passionate about leveraging ML and system design to solve complex real-world problems and constantly strive to push the boundaries of what’s possible in applied AI.

## Work Experience
### Software Engineer II - Applied Machine Learning @ Linqia
Jan 2024 – Present | San Francisco Bay Area

### Software Engineer - Applied Machine Learning @ Linqia
Jan 2022 – Present | San Francisco Bay Area
Responsibilities 
• Collaborate with cross-functional teams to gather requirements, design solutions, and implement data pipelines.
• Work with data scientists to analyze data sets, identify patterns, and develop predictive models.
• Deploy machine learning models to production environments using containerization technologies like Docker and Kubernetes.
• Conduct exploratory data analysis (EDA) on influencer data to gain insights and address data consistency issues.
• Design and develop microservices using the FastAPI/Flask framework in Python and Java.
• Present microservice designs to the Review Board and ensure they meet functional requirements.
• Deploy microservices in Kubernetes clusters and monitor their execution using Grafana dashboards.
• Perform stress testing on microservice architectures using Locust to ensure they meet performance requirements.
• Maintain search capabilities, including full-text and contextual search, and provide backend on-call support.
• Participate in peer review processes to ensure high-quality code and provide constructive feedback.

Accomplishments
• Linqia Gen AI hackathon 2023 winner -- Developed a microservice that streamlines the process of generating content for influencer marketing campaigns.

### Technology Analyst @ Infosys
Jan 2018 – Jan 2019 | Glasgow, Scotland, United Kingdom
Live support and JAVA Application Developer

### Senior Systems Engineer @ Infosys
Jan 2016 – Jan 2018 | Bengaluru, Karnataka, India
JAVA Application Developer

### Systems Engineer @ Infosys
Jan 2014 – Jan 2016 | Bengaluru, Karnataka, India
PHP Application Developer

### Software Trainee @ Infosys
Jan 2014 – Jan 2014 | Bengaluru, Karnataka, India
Professional training in Open Source Software - Linux, MySQL, PHP, Python, PERL


## Education
### Master of Science - MS in Electrical Engineering
San José State University

### Bachelor of Engineering - BE in Instrumentation and Control Engineering
Anna University Chennai

### Higher Secondary
Shree Vidyalaya , India


## Contact & Social
- LinkedIn: https://linkedin.com/in/rathi-thiagarasu-9925a321

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Source: https://flows.cv/rathithiagarasu
JSON Resume: https://flows.cv/rathithiagarasu/resume.json
Last updated: 2026-04-10