Shashank Rangarajan Email & Phone Number
@intel.com
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Who is Shashank Rangarajan? Overview
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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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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.
Shashank Rangarajan's current company
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Shashank Rangarajan work experience
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Machine Learning Scientist - Ii
Current
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
Graduate Teaching Assistant
Graduate Teaching Assistant for the Spring 2024 offering of CSCI-585:Database Systems under the guidance of Prof. Saty Raghavachary.
Graduate Teaching Assistant
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.
Student Researcher
• 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
Software Development Engineer - Machine Learning
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
Associate Software Engineer
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
Intern
• 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
Research Intern
• 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
Colleagues at Meta
Other employees you can reach at metadownhole.com. View company contacts for 136862 employees →
Marissa Glowacz
Colleague at MetaLos Angeles Metropolitan Area, United States
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BM
Brook Melaku
Colleague at MetaAuckland, New Zealand
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Bruno Boehringer Mastantuono
Colleague at MetaSĂŁo Paulo, Brazil
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Supriya Rajendra
Colleague at MetaBengaluru, Karnataka, India
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Zohreh Movahedmanesh
Colleague at MetaUnited States
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Kineret Kabada
Colleague at MetaTel Aviv-Yafo, Tel Aviv District, Israel
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Yinan Zheng
Colleague at MetaHong Kong Sar, Hong Kong
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Md Syful
Colleague at MetaDhaka, Bangladesh
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Kerol Guaqueta
Colleague at MetaAtlanta, Georgia, United States
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Wataru Nishizawa
Colleague at MetaGreater Seattle Area, United States
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Shashank Rangarajan education
Master Of Science - Ms, Computer Science, 4.0 / 4.0
Bachelor Of Engineering, Computer Science, 9.75 / 10
Frequently asked questions about Shashank Rangarajan
Quick answers generated from the profile data available on this page.
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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