Eshwanth Baskaran

Machine Learning Engineer @Procore Technologies

Toronto, ON, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jul 2025 — Present

Machine Learning Engineer @Procore Technologies

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Toronto, ON, CA

Leading project efforts and building a document understanding system for construction. Working end to end - from data collection, modeling, to event driven deployment, monitoring and observability.

EDUCATION

N/A

Mila - Quebec Artificial Intelligence Institute

Master of Science - MS, Machine learning

2014 — 2018

Indian Institute of Technology Hyderabad

Bachelor’s Degree, Computer Science

N/A

Université de Montréal

Master of Science - MS, Machine learning

SKILLS

Apache ThriftAndroid DevelopmentWeb ScrapingRamlData StructuresCssGrpcRJspJavascriptDockerRapidminerMatlabC++Html5Apache KafkaApache AvroSwaggerPhpSqlBig Data AnalyticsMysqlJavaCProgrammingMicrosoft OfficeApache SparkPythonMachine Learning

ABOUT ESHWANTH BASKARAN

Machine learning engineer with a blend of ML research and software engineering experience — uniquely equipped to bridge cutting-edge AI with real-world systems.Core ML expertise- Researched and implemented reliable LLM evaluations across domains, from defining/adapting relevant metrics for the use-case, reliable synthetic data generation (for telecom chatbots, PII redaction, etc) to fine-tuning LLMs as judges- At Amazon, researched and implemented Parameter-Efficient Fine-Tuning (PEFT) techniques to personalize conversational LLMs in production while also reducing hallucination (9% on the public CoSQL dataset)- Built a generative computer vision prototype using GANs to colorize black-and-white manga, combing artistic generation with image-to-image translation.Software Engineering- Created an (internal) assessment library in Python to automated and reliable evaluation of various AI systems. The library was built with a modular architecture, enabling minimal code changes for future AI model evaluations and maximizing reusability across different use cases- Designed and deployed backend services for SaaS systems capable of handling thousands of asynchronous tasks with minimal latency (reducing by 40%)- Developed CI/CD pipelines to streamline deployment and improve release velocity- Built scalable ETL pipelines for ingesting and transforming unstructured data reliably.

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Eshwanth Baskaran — Machine Learning Engineer at Procore Technologies in Toronto, ON, CA | Unifers