Anand Subramanian
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Anand Subramanian Email & Phone Number

Machine Learning Engineer @ Crayon Data & AI | MComp CS Grad @ NUS at Crayon
Location: Singapore, Singapore, Singapore 10 work roles 3 schools
1 work email found @asus.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Role
Machine Learning Engineer @ Crayon Data & AI | MComp CS Grad @ NUS
Location
Singapore, Singapore, Singapore
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Who is Anand Subramanian? Overview

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Quick answer

Anand Subramanian is listed as Machine Learning Engineer @ Crayon Data & AI | MComp CS Grad @ NUS at Crayon, a company with 1452 employees, based in Singapore, Singapore, Singapore. AeroLeads shows a work email signal at asus.com and a matched LinkedIn profile for Anand Subramanian.

Anand Subramanian previously worked as Machine Learning Engineer at Crayon and Contributing Writer at Towards Data Science. Anand Subramanian holds Master Of Computing, Computer Science from National University Of Singapore.

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{first}_{last}@asus.com
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Profile bio

About Anand Subramanian

I'm currently a MLE at Crayon, Singapore. Before this, I completed my Masters in Computing (CS specialization) from the National University of Singapore. I'm interested in Large Language Models and their application in clinical, scientific and biomedical text. I also write a blog on LLMs and how they can be harnessed for clinical and biomedical use cases.

Listed skills include Leadership, Fastapi, Research And Development, Public Speaking, and 17 others.

Current workplace

Anand Subramanian's current company

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Crayon
Crayon
Machine Learning Engineer @ Crayon Data & AI | MComp CS Grad @ NUS
oslo, oslo, norway
Website
Employees
1452
AeroLeads page
10 roles

Anand Subramanian work experience

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Machine Learning Engineer

Current

Singapore

Working on information extraction and question answering for client use cases using LLMs.

Feb 2024 - Present

Contributing Writer

Current

I write articles exploring how Large Language Models can be used for biomedical and clinical use cases.

Feb 2024 - Present

Ai Research Intern

Singapore

- Worked on a new benchmark suite for evaluating LLMs in the biomedical and clinical domain.- Had the opportunity to publish two papers.

Sep 2023 - Nov 2023

Ai Research Intern

Singapore

Worked on Large Language Model tooling and research for biomedical and clinical text.

May 2023 - Aug 2023

Graduate Student Researcher

Singapore

- Advised by Prof. Stefan Winkler at NUS, as part of my Master's project in my final semester.- Worked on analyzing the domain adaptation capabilities of LLMs for the biomedical and clinical domain, and on testing the clinical knowledge encoded by open-source LLMs. - Developed a benchmark to analyze clinical knowledge of LLMs through Question Answering.

Sep 2023 - Nov 2023

Intern

India

Worked with the Nemo Team on building a data-driven approach to scenario extraction from drive data. Developed a novel multi-task learning approach for self-supervised representation learning from time-series data.

Nov 2022 - Jan 2023

Research Engineer - Ii

India

- Developed deep-learning based NLP models with robustness to OCR errors for clinical section parsing. Implemented a weakly-supervised labelling method for training the models with minimal annotation cost. Accepted for publication at the CODS-COMAD 2023 conference.

Jan 2022 - Jul 2022

Research Engineer

- Implemented novel machine learning and deep-learning models for Negated Clinical Information Identification and Punctuation Restoration in healthcare data. - Developed systems for performing computer-assisted medical coding. Built a generic pipeline for extracting clinical drug related information from healthcare data.- Secured first position in the.

Jan 2021 - Dec 2021

Junior Research Engineer

- Built AI-powered systems for clinical data mining. Developed modules that combined Named Entity Recognition Parsers with heuristic rules for extracting significant clinical information from healthcare data.- Participated in various shared tasks and workshops. Published a paper at the Endoscopic Artifact Detection (EAD-2020) shared task held as part of.

Sep 2019 - Dec 2020

Research Intern

Chennai, Tamil Nadu, India

- Implemented modules in Scala and Python for statistical analyses on text corpora and for text and xml cleaning.- Built web-scrapping tools using Python and Selenium.

Jun 2019 - Aug 2019
Team & coworkers

Colleagues at Crayon

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3 education records

Anand Subramanian education

Bachelor Of Engineering - Be, Electronics And Communications Engineering

Activities and Societies: Head of the Model United Nations and Debating Society at SSN (2018-19) - Served as the Secretary General of.

High School

Psbb Main, Nungambakkam, Chennai
FAQ

Frequently asked questions about Anand Subramanian

Quick answers generated from the profile data available on this page.

What company does Anand Subramanian work for?

Anand Subramanian works for Crayon.

What is Anand Subramanian's role at Crayon?

Anand Subramanian is listed as Machine Learning Engineer @ Crayon Data & AI | MComp CS Grad @ NUS at Crayon.

What is Anand Subramanian's email address?

AeroLeads has found 1 work email signal at @asus.com for Anand Subramanian at Crayon.

Where is Anand Subramanian based?

Anand Subramanian is based in Singapore, Singapore, Singapore while working with Crayon.

What companies has Anand Subramanian worked for?

Anand Subramanian has worked for Crayon, Towards Data Science, Aics, National University Of Singapore, and Ridecell.

Who are Anand Subramanian's colleagues at Crayon?

Anand Subramanian's colleagues at Crayon include Jam Tinber Medequillo, Ronan Slattery, Pedro Almeida, Shahriar Arefi, and Joachim Myhre.

How can I contact Anand Subramanian?

You can use AeroLeads to view verified contact signals for Anand Subramanian at Crayon, including work email, phone, and LinkedIn data when available.

What schools did Anand Subramanian attend?

Anand Subramanian holds Master Of Computing, Computer Science from National University Of Singapore.

What skills is Anand Subramanian known for?

Anand Subramanian is listed with skills including Leadership, Fastapi, Research And Development, Public Speaking, Onnx, Matlab, Tensorflow, and Scala.

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