Education
Iran University of Science & Technology (2015 - [Expected] Feb 2020)
- Ranked 3rd among all Iranian Universities
(Based on The QS World University Rankings 2020)
- B.Sc. Computer Engineering, focus on AI
- GPA (up to now via 130 credits): 3.88 • GPA (last two years via 62 credits): 4.0
Allameh-Helli 3 (2008 - 2015)
- National Organization for Development of Exceptional Talent (NODET)
- Middle-School, High-School
- Diploma in Mathematics and Physics with 4.0 GPA
Honors & Awards
- Ranked 2nd among 66 undergraduate students in the Department of Computer Engineering, Iran University of Science & Technology.
- Awarded as a Top-ranked student for 8 semesters (since Fall 2015) as a result of obtaining a
GPA over 17/20 (A+).
- Top 99.2nd percentile in national university entrance exam among near 200,000 participants.
- Member of National Organization for the Development of Exceptional Talents since 2008 (acceptance rate < 0.3%).
- Won the first place in IUST ACM tournament in 2016 and 2017.
*All of the courses below are passed with A+ score:
Natural Language Processing |
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Computer Networks |
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Computational Intelligence |
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Programming with Python |
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Artificial Intelligence |
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Advanced Programming |
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Signal Processing |
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Compiler Design |
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Computer Vision |
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Theory of Languages and Automata |
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Algorithm Design |
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Logic Circuits |
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Data Structure |
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Discrete Mathematics |
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Self Study
- CS224d: Deep Learning for Natural Language Processing (Spring 2018)
Stanford Course (Audited) - Instructor: Prof. Chris Manning & Prof. Richard Socher
- NLP (Statistical methods) (Fall 2017)
Coursera Course (Audited) - Instructor: Prof. Dan Jurafsky & Prof. Chris Manning
- Machine Learning (Fall 2017)
Coursera Course (Audited) - Instructor: Prof. Andrew Ng
- Big Data Analysis with Scala and Spark (Spring 2017)
Coursera in corporation with EPFL (Audited) - Instructor: Dr. Heather Miller
- Data mining (Spring 2017)
Graduate Course at Iran University of Science and Technology - Instructor: Dr. Hossein Rahmani
Reasearch
Undergraduate Research Assistant (June 2018 - Present)
Machine Learning Lab @ Sharif University of Technology - Supervisor: Dr. Mahdieh Soleymani
- Designed novel retrieval-based text-generation model based on the Transformer architecture.
- Introduced new unsupervised data augmentation framework which can increase the accuracy on a fewshot-like text classification datasets.
- Achieved new SOTA on two common paraphrasing datasets in three metrics (including BLEU and ROUGE).
- Outperformed 2018 & 2019 papers (from ACL, NIPS, and NAACL) on both human and automatic evaluation.
- Introduced new unsupervised data-augmentation framework for text, which increased the accuracy on FewShot-like text classification datasets.
- Submitted a paper to ACL 2020 as the first author.
Focus:
- Paraphrase Generation
- Conditional Text generation
- Retrieval-based Editor Model
- Tensorflow
- Transformer Architecture
- Data Augmentation
Undergraduate Research Assistant (Sep 2017 - Mar 2018)
Advanced BigData Analysis Lab @ Iran University of Science and Technology - Supervisor: Dr. Hossein Rahmani
Anomaly Analysis on big unlabeled time series data
- Created a big graph from an unstructured data with 3M nodes and 17M edges which was used by other lab members for better and more efficient feature engineering.
- Created graph-based heuristic features which resulted in identifying two veriaied abnormal patterns.
- Re-implemented a legacy sub-graph extraction script in Apache Spark and Reduced the execution time from 2 minutes to 20 seconds.
Focus:
- Data-Mining
- Anomaly Analysis
- Dataset Collection
- Apache Spark
- Scala
- Time-series Dataset
Teaching
TA for Deep Learning (Graduate Course)
Spring 2019 @ Iran University of Science and Technology
- Instructor: Dr. Mohammad Taher Pilehvar
- The course was introduced for the first time in the department.
- All of its materials, including assignments, solutions, and the final project, were designed from scratch (in English).
- It became a pupular course across the university, in which 50% of the population had audited the course from other departments.
- Its website is ranked first in the search result for “deep learning in iran” query..
TA for Artificial Intelligence and Expert Systems
Fall 2018 @ Iran University of Science and Technology
- Instructor: Dr. Mohammad Taher Pilehvar
- Old course materials were completedly updated from the previous instructor.
- Chosen as ”the best course of the semester” based on student evaluation.
- Its website had numerable visitors, even after it had been ended.
TA for Fundamentals of Programming
Fall 2016 @ Iran University of Science and Technology
- Instructor: Dr. Adel Torkaman Rahmani
- Designed small python programming projects, and Held weekly practical problem-solving classes.
Software Engineering
Open-Source Contributor at Tensorflow 2.0 (Sep 2019 - Present)
Google’s Deep learning framework
Reported and fixed bugs and wrote tests in the Sequence-to-Sequence sub-module (
#375,
#503,
#511,
#534, and
#534), also
Wrote a Jupyter notebook based tutorial showing How to use the new Seq2Seq components in TF 2.0
#335
Technical lead and Software Developer at Mizit (Nov 2016 - Aug 2017)
An Iranian bin-tech B2C startup targeting Hospitality industry
Designed their system architecture including server-client communications. Implemented a WebSocket API for the reservation service resulted in fast Server-to-Client communication using Node.js and Redis.
Software Developer at Televisak (Nov 2015 - June 2016)
An Iranian collaborative movie streaming service.
Implemented the video streaming component for the mobile client using common Andoird/Java libraries.
Publications
* Download the PDF version [here]
Translations
Stanford CS229 course materials: Supervised Learning
Blog Posts
Tutorial and proofs for the sinusoidal positional encoding of the Transformer's architecture.
Sharing my experience on How to be more productive in the lack of resources.
Suggesting an efficient pipeline for Deep Learning research.