aarash heydari
Founding Engineer at Dataland
founding engineer dataland
software engineer interested cloud system , database , ai/ml research related product . concerning technology , heidegger quoted hölderlin : “ danger , also grows saving power . ”
Dataland
https://www.linkedin.com/company/datalandhq
Building the world's most performant and extensible low-code DB using Rust, Kubernetes, Kafka, and Apache Arrow
United States
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Founding Engineer
Clumio
https://www.linkedin.com/company/clumio
Worked on core backend platform pieces to power the first cloud-native SaaS enterprise backup solution.
Santa Clara
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Software Engineer
UCSF Department of Radiology & Biomedical Imaging
A DICOM-Embedded Annotation System for 3D Cross-Sectional Imaging Data

- Integrated a Python plugin for a medical image viewer app to translate between segmentation maps and tabular point-and-radius CSV data.  
- Using this to visualize ML predictions on CT scans (i.e. Lung Nodule Localization) and provide radiologists a highly efficient annotation system for producing training data.
- Presented a poster and open-source code demo at the Radiological Society of North America’s 2019 conference.
San Francisco Bay Area
Deep Learning / Big Data Researcher
UC Berkeley Electrical Engineering & Computer Sciences (EECS)
https://www.linkedin.com/company/uc-berkeley-eecs
Course Instructor for four classes over the last five semesters of undergrad. Conducted recitations, created course content, and assisted students in office hours.

- CS289A, Machine Learning (Spring ’19):  Bias/variance, classification, regression, SVM, DNNs, PCA, etc.
- CS170, Algorithms (Spring ’18, Fall ’18):  Graphs, dynamic programming, NP-hardness, etc.
- CS188, Artificial Intelligence (Fall ’17):  Alpha-beta pruning, Bayes nets, Markov decision processes, etc.
- CS61B, Data Structures (Spring ’17):  Principles of data organization and complexity in Java.
Berkeley, California
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TA / Student Instructor
Microsoft
https://www.linkedin.com/company/microsoft
Used Azure Functions to automate the configuration management infrastructure for a global LDAP service to minimize human error in deployment and save ∼3 hours of engineer time per new feature.
Redmond, WA
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Software Engineer Intern, Azure Identity
Datalogue
https://www.linkedin.com/company/datalogue
Contributed to stateless, purely functional Scala API that accepts petabyte-scale datasets to deliver massive processing power. Built transcoders for accepting/outputting JSON, Excel, XML, and MongoDB.
Montreal, Canada Area
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Back End Developer
Bachelor’s Degree
Computer Science
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University of California, Berkeley
https://www.linkedin.com/school/uc-berkeley/
A widely compatible DICOM-native annotation pipeline with strong support for data visualization was created to facilitate computer vision projects involving 3D cross-sectional data.
A DICOM-Embedded Annotation System for 3D Cross-Sectional Imaging Data
RSNA
https://github.com/bdrad/pyOsirixScripts
An open-source data-driven investigation of trends of comments in political and misinformative YouTube videos.
Understanding Online Comments Discourse on Misinformative and Political YouTube Videos
Aarash Heydari, Janny Zhang
https://arxiv.org/abs/1907.00435
Modified a state-of-the-art unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. The baseline model uses fully convolutional neural networks to simultaneously train the estimation of motion relative to a rigid scene and the estimation of depth using the structure of a target scene. Rather than using ground truth for training, the baseline uses novel view synthesis as a supervisory signal.
Our modified approach attaches a Mask R-CNN to segment images into different objects. We incorporate an additional loss function promoting depth gradients around object segments to sharpen our depth maps around object boundaries. Empirical evaluation on the KITTI dataset indicates that our approach performs slightly better than the state-of-the-art.
Deep Structure From Motion
May 11, 2018
https://github.com/aarashy/public/blob/master/deep-structure-from-motion.pdf
A widely compatible DICOM-native annotation pipeline with strong support for data visualization was created to facilitate computer vision projects involving 3D cross-sectional data.
A DICOM-Embedded Annotation System for 3D Cross-Sectional Imaging Data
https://github.com/bdrad/pyOsirixScripts
An open-source data-driven investigation of trends of comments in political and misinformative YouTube videos.
Understanding Online Comments Discourse on Misinformative and Political YouTube Videos
https://github.com/aarashy/YouTubeComments
Modified a state-of-the-art unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. The baseline model uses fully convolutional neural networks to simultaneously train the estimation of motion relative to a rigid scene and the estimation of depth using the structure of a target scene. Rather than using ground truth for training, the baseline uses novel view synthesis as a supervisory signal.
Our modified approach attaches a Mask R-CNN to segment images into different objects. We incorporate an additional loss function promoting depth gradients around object segments to sharpen our depth maps around object boundaries. Empirical evaluation on the KITTI dataset indicates that our approach performs slightly better than the state-of-the-art.
Deep Structure From Motion
https://github.com/aarashy/public/blob/master/deep-structure-from-motion.pdf
https://www.linkedin.com/in/howard-zuo
New York, NY
Howard Zuo
CEO at Dataland | YC S20
https://www.linkedin.com/in/arthurwu1
New York, NY
Arthur Wu
Co-Founder at Dataland (YC S20)
https://au.linkedin.com/in/nader-shahriar-b438777
Greater Adelaide Area
Nader Shahriar
engineer at Essai
https://www.linkedin.com/in/nick-shahiar-66bb0989
Atherton, CA
Nick Shahiar
CEO at Horizon Investment Group (HIG), Life Science Angels, Band of Angels
https://www.linkedin.com/in/nicole-mcmindes-32053a188
Flagstaff, AZ
Nicole McMindes
Reliability Engineer at W.L. Gore & Associates
https://www.linkedin.com/in/minhao-zhou-a98512a6
Berkeley, CA
Minhao Zhou
Postdoctoral Research Scientist
https://www.linkedin.com/in/bharatbaddepudi
San Jose, CA
Bharat Baddepudi
Distributed Systems
https://www.linkedin.com/in/emma-ludlum
San Francisco, CA
Emma Ludlum
Recruiting @ Modern Treasury, ex-Samsara, ex-Twilio
https://www.linkedin.com/in/anantn
Sunnyvale, CA
Anant Narayanan
Specialized Generalist | kix.in
https://www.linkedin.com/in/viannys-d%C3%ADaz-rosendo-mas-0472a224
New Milford, NJ
Viannys Díaz-Rosendo, MAS
Senior Recruiter/Account Manager at Zing Professional Recruiting
https://www.linkedin.com/in/leonardomrferreira
Charleston, SC
Leonardo Ferreira
Assistant Professor at Medical University of South Carolina
https://www.linkedin.com/in/satychary
Glendale, CA
Saty Raghavachary
CS Educator; CG specialist
https://www.linkedin.com/in/jacobdpeters
Los Angeles, CA
Jacob Peters
Startup Founder, Community Builder
https://www.linkedin.com/in/marthasharpe2020
United States
Martha Sharpe
Software Engineer
https://www.linkedin.com/in/prathibha-varkey-mbbs-mph-mhpe-mba-0067332
Rochester, MN
Prathibha Varkey, MBBS, MPH, MHPE, MBA
President, Mayo Clinic Health System
https://www.linkedin.com/in/jason-jong-83090029
San Francisco, CA
Jason Jong
Software Engineer
https://www.linkedin.com/in/keithmasuda
San Mateo, CA
Keith M.
VP of Finance at Modern Treasury
https://www.linkedin.com/in/joefrigo
Huntington Beach, CA
Joe Frigo
Founder & CEO of Ribbiot
https://www.linkedin.com/in/mike-liao-2416259a
Cupertino, CA
Mike Liao
Software Engineer at Adobe
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The current Geopolitical situation will drive more bad actor events including and perhaps especially Ransomware attacks. Protect yourself and your…
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Any Seattle area folks looking for a good place to watch the Super Bowl can come by my taproom (1820 130th Av NE, Bellevue) Sunday 2-8. Happy hour…
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So proud of the team that put this together Rachel Wong Barun H. Qin Bian Steven Guo Anant Agrawal Gregory PittsIf you're looking to kick off 2022…