Arjun Krishna
Rich 5+ years of software work experience with domain expertise in machine learning, cloud infrastructure systems for machine learning, system design, algorithm design, distributed cloud computing, storage scalability. Demonstrated experience in technical leadership, establishing technical standards and best practices.
Download my resume hereSkills
- Python
- C++
- Java
- JavaScript
- TypeScript
- C
- Objective C
- MATLAB
- Ruby
- Pytorch
- AWS SDK
- TensorFlow
- SparkML
- React
- Android SDK
- OpenCV
- NodeJS
- Flask
- HLSL
- Metal
- Microsoft SDK
- Emscripten
- MySQL
- PostgreSQL
- DynamoDB
- MongoDb
- Apache RDD
- Indexed DB
- VSCode
- IntelliJ
- Git
- Perforce
- VisualStudio
- Android
- XCode
- PyCharm
- NGINX
- AWS
- Linux
- Apple
- Windows
- Machine Learning
- Big Data Analysis
- AWS (NAWS) Cloud Development
- Cloud Deployment Infrastructure
- Test Automation Infrastructure
- Database Internals
- Data Analysis
- Storage Scalability
- System Design
- Computer Vision
- Natural Language Processing
- Image Processing
- Color Management
- Web Development
- Android Development
Creations
A collection of projects authored by Arjun, and likely shared out with the community as an open source project.
Express flowcharts android app
Express Wiki
Express Wiki gives you a personal online wikipidea powered by AI so you can read and organize your wikipidea.
Google chrome extension to caption images using RCNN
Google Chrome Extension that generates a caption for an image using deep learning network RCNN
Open Source Contributions
A collection of efforts to which I contributed, but did not create. Contributing back to Open Source projects is a strong passion of mine, and requires a considerate approach to learn norms, standards and approach for each community for a successful merge!
Cyclical Learning Rate (CLR)
Worked and experimented with CLR algorithm which is implemented in Keras that uses cyclical learning rates to train deep neural networks.
Text detection in natural scenes
Achievements
AWS Aurora hackathon
Won Aurora hackathon 2021 for developing novel prefetch algorithm for data read ahead for Aurora MySQL 8.0 engine.
Kudos award Adobe
Won prestigious kudos award 2020 for my contributions at CoreTech Adobe among team of 100+ builders.
Winner of Adobe shark tank
Winner Adobe shark tank event for best product idea pitch amongst 100+ new hires.
Best B.Tech. project award
Best B.Tech. Project Award received from director IIT Roorkee amongst 1816 students.
KVPY national scholarship fellow
Secured All India Rank of 401 among ~1,50,000 participants for Kishore Vaigyanik Protsahan Yojana
District topper of All India Senior School Certificate Examination 2015
All India Senior School Certificate Examination 2015 certificate received from education minister India.
Cleared First Stage of CODEFUNDO
Cleared First Level of International Chemistry Olympiad
Publications
Thesis - Video segment copy detection
Experience
Software Development Engineer
I work on SageMaker Distributed Model Parallel library, which makes large scale deep learning training easier and performant.
Software Development Engineer 2
Built entire control plane and data plane stack of AWS Aurora ML Zero ETL infrastructure by leading 5-person team .My primary focus in this team revolves around building the distributed Native AWS cloud service used for the and ecosystem infrastructure of AWS Aurora MySQL.
Software Development Engineer 2
Worked on the fault tolerance aspects of AWS Aurora MySQL which is a fully managed cloud native SQL database service . My primary contributions revolved around Defunct segment handling, Dead latch diagnostics, Page diagnostics, Out of memory avoidance and Fault injection features for Aurora MySQL 8.0 engine.
Software Development Engineer 1
Developed Genshop which is Adobe's in-house deep learning python library for Generative models primarily GANs. Worked on CPU (single and multithreaded) and GPU workflows of Adobe Color Engine (ACE) and Adobe Font Engine(CoolType).
Research Intern
Interned with Big Data Experience Lab, Adobe Research, Bengaluru on the project personalized highlighting based on reader feedback.
Research Assistant
Worked on Action Recognition with feature fusion which involved combining traditional computer vision techniques with deep learning to improve the accuracy of Action Recognition.