# Anurag Illendula

> ML @ Google, Core Modelling Personalisation Search/Discover | Previously MLE @ Apple, Information Intelligence | MS CS at NYU | Bachelors at IIT Kharagpur.

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/anuragillendula

I am Anurag Illendula, a final year Master's Student in Computer Science at NYU Courant (expected to graduate in May 2022). Previously I graduated from the Indian Institute of Technology Kharagpur. During Summers 2021, I worked as a Machine Learning Engineer intern at Apple to improve Siri Search. Before this, I worked on different advanced NLP / ML research projects and have publications at top-tier conferences. I am actively looking for a full-time Machine Learning Engineer/ Machine Learning Scientist role to build new AI/ML/NLP.

## Work Experience
### Software Engineer, Machine Learning @ Google
Jan 2022 – Present | Mountain View, California, United States
2024 - Present --> Core Modelling for Personalizing Search/Discover
2022 - 2024 --> News Intelligence

### Researcher @ Cloudy Soft
Jan 2019 – Jan 2022 | San Francisco Bay Area
◦ Major duties include development of Deep Learning models for Knowledge graph embeddings, Network Embeddings.
◦ Part of a team which worked on development of API’s for tasks related to Knowledge graph and information networks and worked on
development of optimization algorithms.

### Machine Learning Engineer Intern @ Apple
Jan 2021 – Jan 2021 | Redmond, Washington, United States
Siri Search @ Information Intelligence!

### Research Internship @ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing
Jan 2018 – Jan 2018 | Dayton, Ohio Area
◦ Worked on various research projects involving creation of domain-specific dynamic knowledge graphs, relationship extraction from real-time social data stream of granular events like Elections and major social issues such as harassment. Also worked on building event knowledge graphs from social media data.
◦ Also worked on building machine learning models to detect the temporal validity of facts by using existing knowledge from large knowledge graphs.

### Research Internship @ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing
Jan 2017 – Jan 2017 | Dayton, Ohio
◦ Worked on research projects involving text summarization using emoji, emoji prediction, emoji sense disambiguation, sarcasm detection using emoji, and building EmojiNet-RDF dataset.
◦ Explored natural language processing, semantic web, and ML techniques in solving the above problems. Resulted in three publications at ICWSM 2018, WWW2019 and WebIntelligence 2018.

### Data Analyst @ Maroon.ai
Jan 2017 – Jan 2017 | Noida Area, India
◦ Work conducted included extracting useful insights from the company’s blogs and applying sentiment analysis tools to find the growth
of the company.
◦ Created a graph database for efficient storage of sentiment analysis information.


## Education
### Master's degree in Computer Science
New York University

### Master of Science (MSc) in Mathematics and Computing
Indian Institute of Technology, Kharagpur


## Contact & Social
- LinkedIn: https://linkedin.com/in/anurag-illendula
- Portfolio: https://aianurag09.github.io/

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Source: https://flows.cv/anuragillendula
JSON Resume: https://flows.cv/anuragillendula/resume.json
Last updated: 2026-03-29