Sarath Chandran
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Sarath Chandran Email & Phone Number

Applied ML Lead at Cerebras Systems
Location: Abu Dhabi Emirate, United Arab Emirates 7 work roles 2 schools
1 work email found @alefeducation.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Applied ML Lead
Location
Abu Dhabi Emirate, United Arab Emirates
Company size

Who is Sarath Chandran? Overview

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Sarath Chandran is listed as Applied ML Lead at Cerebras Systems, a with 218 employees, based in Abu Dhabi Emirate, United Arab Emirates. AeroLeads shows a work email signal at alefeducation.com and a matched LinkedIn profile for Sarath Chandran.

Sarath Chandran previously worked as Senior Machine Learning Manager at Alef Education and Machine Learning Manager at Alef Education. Sarath Chandran holds Master Of Technology - Mtech from Birla Institute Of Technology And Science, Pilani.

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{first}@alefeducation.com
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Profile bio

About Sarath Chandran

As a Senior Machine Learning Manager with diverse experience in machine learning, generative AI, NLP and LLMs, I am passionate about leveraging cutting-edge technologies to drive impactful outcomes. * Machine Learning and Data Engineering: I have a deep understanding of machine learning algorithms, frameworks such as PyTorch and TensorFlow, and data engineering techniques to develop scalable, reliable, and high-performance systems.* Architecture: I have hands-on experience with designing and implementing distributed systems on cloud platforms such as AWS, and I am well-versed in technologies such as Kubernetes, Docker, and Spark.* Leadership: I have a proven track record of leading cross-functional teams, mentoring junior members, and effectively managing projects in an Agile environment. I am also adept at communicating complex technical concepts to both technical and non-technical stakeholders.* Growth Hacking: I approach problem-solving creatively, focusing on cost-oriented solutions that drive maximum impact. I thrive in dynamic, fast-paced environments and enjoy tackling new challenges head-on.In my current role as a Senior Machine Learning Manager, I am focused on driving the development of cutting-edge generative AI, NLP, and LLM models to support the future of Education Science. I am committed to building high-performing teams and fostering a culture of innovation and continuous improvement.Email : sarath.chandran31@gmail.com (or) Call : +971 564010198.

Listed skills include Java, Mysql, Javascript, Rest, and 12 others.

Current workplace

Sarath Chandran's current company

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Cerebras Systems
Cerebras Systems
Applied ML Lead
los altos, california, united states
Website
Employees
218
AeroLeads page
7 roles

Sarath Chandran work experience

A career timeline built from the work history available for this profile.

Applied Ml Lead

Current

United Arab Emirates

* Build foundation bilingual language models, for English and Arabic domain using Scaling laws of LLMs.* Experiment on different architectural choices in areas like long context extension with RoPE and Alibi, Attention choices between Multi Head, Group Query and Sliding Window, muP transfers for initialisation and learning rate. * Experiments on Mixture of Experts style of model with Branch Train Mix techniques.

Jul 2024 - Present

Senior Machine Learning Manager

Abu Dhabi, United Arab Emirates

* Leads two engineering teams (Machine Learning and NLP) and drive product roadmap for GenerativeAI solutions in Education.• Work closely with C-level executives and Directors for product strategy, capacity planning, and hiringengineering resources, managing cloud operations in AWS and Azure, infra allocation, and budgetingplans.• Developed a contextualized tutor for providing step-by-step hints to solve math problems using sentencetransformers + langchain + GPT4 + faiss… Show more * Leads two engineering teams (Machine Learning and NLP) and drive product roadmap for GenerativeAI solutions in Education.• Work closely with C-level executives and Directors for product strategy, capacity planning, and hiringengineering resources, managing cloud operations in AWS and Azure, infra allocation, and budgetingplans.• Developed a contextualized tutor for providing step-by-step hints to solve math problems using sentencetransformers + langchain + GPT4 + faiss vector store.• Built a QnA system for generating assessment questions from a given context and data sources llama-2+ llama-index + langchain in AWS using Bedrock.• Fine tune foundational models like llama-2, Falcon, Mistral etc with instructions using PEFT-LoRA oneducational datasets and quantize models for inference optimization.• Extract and process text and image data sources using llama-index and build a (retrival augmentedgeneration) RAG pipeline using vector databases for storing and retrieving embeddings Show less

May 2022 - Aug 2024

Machine Learning Manager

Abu Dhabi, United Arab Emirates

* Lead a team of machine learning engineers for developing personalized recommendations and NLPapplications.• Built a quiz application for 100k daily active users (DAU) scaling with various pipeline optimizationsdownstream finetuning using RoBERTa and BART-based models.• Developed a lesson plan and assessment recommendation system using Collaborative Filtering thatpredicts the next sequence of lessons and questions for students achieving 13% learning improvement.•… Show more * Lead a team of machine learning engineers for developing personalized recommendations and NLPapplications.• Built a quiz application for 100k daily active users (DAU) scaling with various pipeline optimizationsdownstream finetuning using RoBERTa and BART-based models.• Developed a lesson plan and assessment recommendation system using Collaborative Filtering thatpredicts the next sequence of lessons and questions for students achieving 13% learning improvement.• Predicted top 20 influencing factors for student's learning from TIMSS 2019 assessments using Catboost+ SHAP interpretations.• Developed ML infra services for data processing, training, and inference using AWS EKS, ECR, S3,MongoDB, kubeflow and mlflow. Show less

Sep 2019 - Apr 2022

Senior Machine Learning Engineer

Abu Dhabi, United Arab Emirates

* Predicted scoring ability of students in exams using XGBoost with 78% accuracy and RMSE less than8.7.• Developed a system for predicting student grade gap and churn estimation using LSTM network.• Built and scaled streaming and batch pipeline of 500k users using spark streaming, kafka, ksql, S3 andRedshift.* Building a "structured streaming" pipeline for real time processing, rule based alerting and applying machine learning algorithms and learning the challenges… Show more * Predicted scoring ability of students in exams using XGBoost with 78% accuracy and RMSE less than8.7.• Developed a system for predicting student grade gap and churn estimation using LSTM network.• Built and scaled streaming and batch pipeline of 500k users using spark streaming, kafka, ksql, S3 andRedshift.* Building a "structured streaming" pipeline for real time processing, rule based alerting and applying machine learning algorithms and learning the challenges around reactive and distributed systems. Stack: Apache Spark, Structured Streaming, Spark MLLibs, Apache Kafka, Scala, Amazon AWS, S3, RedShift, Docker, MongoDB, Tableau, Elastic Search, Kibana Show less

Mar 2018 - Sep 2019

Software Engineer Ii (Machine Learning)

Chennai Area, India

* Developed a scoring for risk anomaly model in high-value transactions (HVT) using gradient boostingtechniques.• Built a customer segmentation model using PCA for dimensionality reduction and KNN for groupingthem into segments.• Achieved 80% cost savings by improving the latency of the analytics system from 45 to 250 TPS for ascale of 6 billion events per day• Designed lambda architecture by consuming real-time events from Kafka for data analytics.•. Stack: Scala… Show more * Developed a scoring for risk anomaly model in high-value transactions (HVT) using gradient boostingtechniques.• Built a customer segmentation model using PCA for dimensionality reduction and KNN for groupingthem into segments.• Achieved 80% cost savings by improving the latency of the analytics system from 45 to 250 TPS for ascale of 6 billion events per day• Designed lambda architecture by consuming real-time events from Kafka for data analytics.•. Stack: Scala, Akka-Actors, Akka-Streams, Kafka, Hadoop, Squbs, Akka-HTTP, Json4sOpen Source & Tech Talks• Problem: To avoid data loss in a distributed cluster of machines with local persistence.Contribution: A backpressure-aware pub-sub buffer using a chronicle queue capable of publishing data to multiple subscribers, each at its own pace managed by a commit log.Speaker at Great Indian Developer Summit, April 2017, Bangalore, India. Topic: “Streaming Behavioral Analytics & Building a Scalable Data Pipeline” Show less

Mar 2016 - Mar 2018

Member Of Technical Staff

Chennai Area, India

Zoho Invoice, Zoho Expense and Zoho BooksIntegration Engineer – Payments• Designed a generic framework handling online payments lifecycle - authorize, capture, payment, dispute & settlement with multiple payment gateways• Implemented in-app purchase for mobile clients and recurring invoice transactions.• Stack: Java, Spring, Dependency Injection, Redis, Payment SDKsApplication Developer – Finance Apps (Invoice and Accounts)• Developed RESTful APIs for… Show more Zoho Invoice, Zoho Expense and Zoho BooksIntegration Engineer – Payments• Designed a generic framework handling online payments lifecycle - authorize, capture, payment, dispute & settlement with multiple payment gateways• Implemented in-app purchase for mobile clients and recurring invoice transactions.• Stack: Java, Spring, Dependency Injection, Redis, Payment SDKsApplication Developer – Finance Apps (Invoice and Accounts)• Developed RESTful APIs for transaction based application handling financial data.• Optimized complex SQL queries using explain, group-by & joins and got < 300ms response time.• Stack: Java, MySQL, JAXB, Tomcat, JSON (Jackson parsers) Show less

Jan 2013 - Mar 2016

Junior Software Engineer

Chennai Area, India

Zoho is cloud company developing a suite of business, productivity, finance, collaboration, sales, marketing and helpdesk apps.Key Responsibilities:* Started working on code quality, corner case identification and code coverage in Java.* Learned software build environment management with Apache Ant, Ruby Rake & Gradle.* Exposure to version control system like Mercurial (Hg) and Git.* Server life-cycle management with Apache Tomcat. Java server technology like… Show more Zoho is cloud company developing a suite of business, productivity, finance, collaboration, sales, marketing and helpdesk apps.Key Responsibilities:* Started working on code quality, corner case identification and code coverage in Java.* Learned software build environment management with Apache Ant, Ruby Rake & Gradle.* Exposure to version control system like Mercurial (Hg) and Git.* Server life-cycle management with Apache Tomcat. Java server technology like Servlets and JSP.* Exposure the JDBC APIs and database connections in MySQL* Covered unit test cases & automated test report generation with Junit & Cucumber.* Wrote Shell (bash - Mac OSX) & Ruby scripts to avoid manual task and improved automation. Show less

Jul 2012 - Dec 2012
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2 education records

Sarath Chandran education

FAQ

Frequently asked questions about Sarath Chandran

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

What company does Sarath Chandran work for?

Sarath Chandran works for Cerebras Systems.

What is Sarath Chandran's role at Cerebras Systems?

Sarath Chandran is listed as Applied ML Lead at Cerebras Systems.

What is Sarath Chandran's email address?

AeroLeads has found 1 work email signal at @alefeducation.com for Sarath Chandran at Cerebras Systems.

Where is Sarath Chandran based?

Sarath Chandran is based in Abu Dhabi Emirate, United Arab Emirates while working with Cerebras Systems.

What companies has Sarath Chandran worked for?

Sarath Chandran has worked for Cerebras Systems, Alef Education, Paypal, and Zoho Corporation.

Who are Sarath Chandran's colleagues at Cerebras Systems?

Sarath Chandran's colleagues at Cerebras Systems include Mike Morrison, Sukhveer Sahota, Vijay Srinivas, Liam Parrish, and Drew Wadsworth.

How can I contact Sarath Chandran?

You can use AeroLeads to view verified contact signals for Sarath Chandran at Cerebras Systems, including work email, phone, and LinkedIn data when available.

What schools did Sarath Chandran attend?

Sarath Chandran holds Master Of Technology - Mtech from Birla Institute Of Technology And Science, Pilani.

What skills is Sarath Chandran known for?

Sarath Chandran is listed with skills including Java, Mysql, Javascript, Rest, Json, Scala, Akka, and Web Applications.

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