Shashank Rangarajan
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Shashank Rangarajan Email & Phone Number

Machine Learning Engineer at Meta
Location: San Francisco Bay Area, United States 10 work roles 2 schools
1 work email found @intel.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Work email s****@intel.com
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Current company
Role
Machine Learning Engineer
Location
San Francisco Bay Area, United States
Company size

Who is Shashank Rangarajan? Overview

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Quick answer

Shashank Rangarajan is listed as Machine Learning Engineer at Meta, a with 136862 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at intel.com and a matched LinkedIn profile for Shashank Rangarajan.

Shashank Rangarajan previously worked as Machine Learning Scientist - II at Intel Corporation and Machine Learning Intern at Intel Corporation. Shashank Rangarajan holds Master Of Science - Ms, Computer Science, 4.0 / 4.0 from University Of Southern California.

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{first}.{last}@intel.com
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Profile bio

About Shashank Rangarajan

Innovative ML Scientist 🚀 | Problem-Solver 💡 | Lifelong Learner 📚I’m an experienced Machine Learning Scientist with over 4 years of expertise in designing and implementing impactful ML solutions across industries such as semiconductor, e-commerce, edge-device, and healthcare. At Intel, I optimized the schedule of applying OS patches/fixes to hosts, and reduced resource waste by 60% through predictive modeling. I also enhanced model deployment speeds tenfold with a scalable MLOps framework. My tenure at Amazon involved migrating over 90 machine learning models (for Ads) into production with zero downtime, while at Motorola, I led the development of a personalized recommendation system that boosted click-through rates by 20%.I hold a Master’s degree in Computer Science from the University of Southern California, graduating with Honors and a 4.0 GPA. During my time there, I contributed to cutting-edge research in neuroimaging and multimodal deep learning, further honing my skills in data science. I was also recognized with the prestigious CSCI MS Honors & Scholarship for my academic performance. My undergraduate studies were completed with distinction, ranking third in my class at Sri Jayachamarajendra College of Engineering.Certified in key ML frameworks such as PyTorch, TensorFlow, and scikit-learn, I am proficient in managing end-to-end machine learning pipelines using tools like AWS SageMaker, MLflow, and Docker. My skills also extend to cloud computing with hands-on experience in AWS, GCP, and Azure, as well as deploying generative AI models and building sophisticated data pipelines.I am driven by the challenge of solving complex problems and creating business impact through data-driven innovation. I am now looking to apply my expertise in a forward-thinking environment, driving machine learning advancements to deliver measurable outcomes.Let's connect and explore how we can combine our expertise to unlock new horizons in technology and innovation.

Current workplace

Shashank Rangarajan's current company

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Meta
Meta
Machine Learning Engineer
California, United States
Employees
136862
AeroLeads page
10 roles

Shashank Rangarajan work experience

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

Machine Learning Engineer

California, United States

Machine Learning Scientist - Ii

Current

Folsom, California, United States

Jun 2024 - Present

Machine Learning Intern

Team: Analytics and Intelligence - Drives optimization of private-cloud infrastructure for Intel world-wide* Innovated a deep learning-based patch scheduling system to optimize OS patching/fixes, cut down resource wastage by 60%* Improved patch scheduler performance by 30% by leveraging large language models (LLM) for natural language features* Deployed scalable ML framework - with model registry, containerized inference APIs enabling instant multi-region deployments*… Show more Team: Analytics and Intelligence - Drives optimization of private-cloud infrastructure for Intel world-wide* Innovated a deep learning-based patch scheduling system to optimize OS patching/fixes, cut down resource wastage by 60%* Improved patch scheduler performance by 30% by leveraging large language models (LLM) for natural language features* Deployed scalable ML framework - with model registry, containerized inference APIs enabling instant multi-region deployments* Refined MLOps practices and simplified deployment process for team, achieving 10x acceleration in model development* Built an AI Chatbot - with RAG (retrieval augmented generation), and agentic capabilities enhancing customer experience on cloud management portal Show less

May 2023 - May 2024

Graduate Teaching Assistant

Los Angeles, California, United States

Graduate Teaching Assistant for the Spring 2024 offering of CSCI-585:Database Systems under the guidance of Prof. Saty Raghavachary.

Jan 2024 - May 2024

Graduate Teaching Assistant

Los Angeles, California, United States

Teaching Assistant for the Fall 2023 offering of DSCI-250:Introduction to Data Science under the guidance of Prof. Saty Raghavachary. This role enables me to pursue my passion for teaching and contribute to enhancing the knowledge base of fellow students.

Aug 2023 - Dec 2023

Student Researcher

Los Angeles, California, United States

• Laboratory of Neuro Imaging (LONI), Keck School of Medicine (Feb 2023 - Jan 2024): Leading a team of 5 engineers for NIH’s Data Archive for Brain Initiative (DABI), spearheading the development of the analysis pipeline and multiple backend components.• Vilesov Group, Chemistry Department (Feb - May 2023): Utilized Deep Learning to analyze X-Ray Diffraction in He (helium) bubbles, synthesizing data and developing estimation models for radius, intensity, aspect-ratio, and rotation

Feb 2023 - Jan 2024

Software Development Engineer - Machine Learning

Bengaluru, Karnataka, India

Team: Expresso - Delivers MLOps platform to accelerate experimentation and deployment of ML models* Designed systems to integrate Apache Zepplin notebooks into production ETL flows, enabled 10x faster experimentation through streamlined data science workflows. Collaborated with customers to onboard first production use case* Re-architected legacy model re-training pipeline ensuring 100% uptime while migrating 90+ production models. Collaborated with cross-functional team (applied… Show more Team: Expresso - Delivers MLOps platform to accelerate experimentation and deployment of ML models* Designed systems to integrate Apache Zepplin notebooks into production ETL flows, enabled 10x faster experimentation through streamlined data science workflows. Collaborated with customers to onboard first production use case* Re-architected legacy model re-training pipeline ensuring 100% uptime while migrating 90+ production models. Collaborated with cross-functional team (applied scientists, developers) to achieve seamless transition* Transitioned production database to federated AWS accounts seamlessly with 0-data loss and minimal availability impact* Created a one-click solution to manage configurations, facilitating updates to prod configs without needing deployment* Supervised 1 intern, oversaw development of peer-review feature to ensure safe updates in production workflows* Resolved 100+ security risks, SEV2s across 10+ production pipelines ensuring operational excellence Show less

Jun 2020 - Jul 2022

Associate Software Engineer

Bengaluru Area, India

Team: Over The Air updates (OTA) - Provides software upgrades for motorola devices world-wide* Launched smart updates for Motorola’s (classical line of) phones, ensuring seamless updates for over 100K devices* Ideated customer feedback feature into the OTA app, enhancing user engagement and customer satisfaction* Implemented a game recommendation engine, led a cross-functional team of 4 to integrate it on "Hello You" app offering personalized experiences for users* Managed 2… Show more Team: Over The Air updates (OTA) - Provides software upgrades for motorola devices world-wide* Launched smart updates for Motorola’s (classical line of) phones, ensuring seamless updates for over 100K devices* Ideated customer feedback feature into the OTA app, enhancing user engagement and customer satisfaction* Implemented a game recommendation engine, led a cross-functional team of 4 to integrate it on "Hello You" app offering personalized experiences for users* Managed 2 interns, created a log analyzer tool for automatic call-drop detection, reducing ticket turn-around time by 30% Show less

Sep 2019 - Jun 2020

Intern

Bengaluru, Karnataka, India

• Worked as a software dev intern in the CT Department• Developed an internal tool that enables management of test-agent machines• Performed night-run analysis for a variety of bugs and helped in fixing them

Jan 2019 - May 2019

Research Intern

Bengaluru, Karnataka, India

• Worked as a research intern in the Cardiology & Radiology Informatics Department• Evaluated the feasibility of using end-to-end deep learning models to detect brain hemorrhage in non-contrast head CTs• Developed 3D CNN and ResNet models and validated model performances using class-activation heat map reconstruction• Improved the performance by 30% of previous models using auto-encoder, and pre-processing techniques• Developed pre-processing pipeline to extract metrics for a… Show more • Worked as a research intern in the Cardiology & Radiology Informatics Department• Evaluated the feasibility of using end-to-end deep learning models to detect brain hemorrhage in non-contrast head CTs• Developed 3D CNN and ResNet models and validated model performances using class-activation heat map reconstruction• Improved the performance by 30% of previous models using auto-encoder, and pre-processing techniques• Developed pre-processing pipeline to extract metrics for a Carotid Artery Screening project Show less

Jun 2018 - Jul 2018
Team & coworkers

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2 education records

Shashank Rangarajan education

Master Of Science - Ms, Computer Science, 4.0 / 4.0

Activities and Societies: AI Safety @ USC CSCI MS Honors Courses: Algorithms, Machine Learning, Deep Learning, Natural Language.

Bachelor Of Engineering, Computer Science, 9.75 / 10

Sri Jayachamarajendra College Of Engineering, Mysore (Qip Centre)

Activities and Societies: Participated in various voluntary organizations. Technical Co-ordinator, Linux Campus Club - SJCE (LCC-SJCE).

FAQ

Frequently asked questions about Shashank Rangarajan

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What company does Shashank Rangarajan work for?

Shashank Rangarajan works for Meta.

What is Shashank Rangarajan's role at Meta?

Shashank Rangarajan is listed as Machine Learning Engineer at Meta.

What is Shashank Rangarajan's email address?

AeroLeads has found 1 work email signal at @intel.com for Shashank Rangarajan at Meta.

Where is Shashank Rangarajan based?

Shashank Rangarajan is based in San Francisco Bay Area, United States while working with Meta.

What companies has Shashank Rangarajan worked for?

Shashank Rangarajan has worked for Meta, Intel Corporation, Usc Viterbi School Of Engineering, University Of Southern California, and Amazon.

Who are Shashank Rangarajan's colleagues at Meta?

Shashank Rangarajan's colleagues at Meta include Marissa Glowacz, Brook Melaku, Bruno Boehringer Mastantuono, Supriya Rajendra, and Zohreh Movahedmanesh.

How can I contact Shashank Rangarajan?

You can use AeroLeads to view verified contact signals for Shashank Rangarajan at Meta, including work email, phone, and LinkedIn data when available.

What schools did Shashank Rangarajan attend?

Shashank Rangarajan holds Master Of Science - Ms, Computer Science, 4.0 / 4.0 from University Of Southern California.

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