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Harini Suresh

@harinisuresh

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Machine learning engineer specializing in LLM fine-tuning, retrieval systems, and distributed inference.

United States

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What I'm looking for

I seek roles building scalable ML systems and LLM-based products, where I can apply model fine-tuning, retrieval engineering, and distributed inference to deliver production impact.

I am a machine learning engineer with advanced training (M.S. in Computer Science) and hands-on experience building production ML systems and research prototypes.

At Typeface I fine-tune large language models to personalize content and architect retrieval-augmented generation pipelines, improving retrieval accuracy and context-aware responses.

In prior roles I engineered distributed inference with Ray to accelerate re-ranking, built scene-text editing prototypes at Adobe, and automated network configuration and failure-replication pipelines at Arista Networks.

My work blends research and production: I have published on image-processing topics, led applied ML projects in instance segmentation and remote-sensing, and focus on delivering scalable, efficient solutions that bridge models to real-world applications.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer II

Current

Typeface

Oct 2023 - Present (2 years)

Fine-tuned LLMs to personalize brand voice in generated content, architected an improved RAG pipeline with Elasticsearch and cross-encoder re-ranking to boost retrieval accuracy, and engineered a Ray-based distributed inference system that delivered 3x faster re-ranking and improved GPU utilization.

Fine Tuned LLMs Elasticsearch Cross Encoder Re Ranking Ray Distributed Inference Python Docker

Research Scientist Intern

Adobe

Jun 2022 - Sep 2022 (3 months)

Built a scene-text editing prototype using hybrid autoencoders and StyleGAN for de-rendering text, enabling automatic detection and recognition of text attributes; prototype was selected for the Adobe Max Pool of 2022.

Computer Vision StyleGAN Scene Text Recognition Python PyTorch Prototyping

Technical Solutions Engineer

Arista Networks

Jan 2019 - Aug 2021 (2 years 7 months)

Collaborated with engineering teams to troubleshoot data-center issues for clients, built automated network device configuration pipelines in Python, and engineered lab reproductions of major network failures with analyses and documentation.

Python Automation)Data Center Operations Lab Testing Documentation DevOps Automation

Education

Degrees, certifications, and relevant coursework

University of California, Los Angeles

Master of Science, Computer Science

2021 - 2023

Grade: 3.8/4

Completed a Master of Science in Computer Science with a 3.8/4 GPA, focusing on machine learning and graph-structure learning projects.

Amrita School of Engineering, Coimbatore

Bachelor of Technology, Computer Science and Engineering

2015 - 2019

Grade: 9.42/10

Earned a Bachelor of Technology (with Honors) in Computer Science and Engineering with a 9.42/10 GPA, participating in applied ML and image-processing projects.