Deepak Nathani
Graduate Research Assistant
Santa Barbara, California, United States
Summary
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Senior🎓
Top SchoolDeepak Nathani is a machine learning researcher and software engineer with 10 years of experience, currently pursuing a PhD in Computer Science at UC Santa Barbara and working as a Graduate Research Assistant. He brings production and research experience from Meta GenAI, AWS Translate, and Google Research, and is skilled in Python, C, and C++, with a focus on Information Retrieval and Natural Language Processing. Deepak has a track record of applied research—spanning internships and pre-doctoral roles—that bridges industry-scale translation and generative models with academic rigor (4.0 GPA in his PhD coursework). Earlier roles at Salesforce and IBM, plus leadership organizing programming competitions and mentoring at IIT Hyderabad, show he combines engineering impact with community building. He’s comfortable taking ideas from theory to deployed systems, and often leverages cross-disciplinary tools (e.g., topological data analysis in link prediction) to attack hard problems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (BTech), Mechanical Engineering, 7.90/10.0, Bachelor of Technology (BTech), Mechanical Engineering, 7.90/10.0 at Indian Institute of Technology, HyderabadDoctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at UC Santa BarbaraIntermediate, Science, 9.6, Intermediate, Science, 9.6 at All Saints Sr. Sec. School,Ajmer
English, Hindi
Stackoverflow
31reputation
815reached
0answers
1question
Github Skills (45)
in-progress10
acl10
relation10
prediction10
language-processing9
datasets9
nlp8
graph-embedding8
natural-language-processing8
machine-learning8
community-detection8
named-entity-recognition8
machine-translation8
kernel-methods8
krl7
Programming languages (3)
Github contributions (5)
deepakn97/relationPrediction
Jun 2019 - Jun 2021
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Contributions:14 commits, 15 pushes, 10 comments in 2 years
predictionknowledgeembeddingsgraphsknowledge-graphs
InferoIITH/Infero-Portal
May 2017 - Oct 2018
Contributions:1 PR, 2 pushes, 1 branch in 1 year 5 months
keeppractice-questionsportaleyeranks
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