Arjun Krishna
6+ years of software work experience with domain expertise in ML foundation model modelling training and inference, distributed cloud infrastructure for ML infrastructure and big data pipelines. 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
- Transformers
- AWS SDK
- TensorFlow
- SparkML
- React
- Android SDK
- OpenCV
- NodeJS
- Flask
- HLSL
- Metal
- Microsoft SDK
- Emscripten
- MySQL
- DynamoDB
- PostgreSQL
- MongoDb
- Apache RDD
- Indexed DB
- HuggingFace
- 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
Senior AI Research Engineer
Building the next generation of Palmyra LLMs and optimizing training and inference techniques for them.
Software Development Engineer
Lead for SageMaker HyperPod Distributed Training Recipes that automate the end-to-end training loop, including loading datasets, applying distributed training techniques, and managing checkpoints for faster recovery from faults. Lead for SageMaker Distributed Model Parallel library, which makes large scale distributed deep learning training easier and performant. Optimized multi-GPU training of LLM’s like Transformers, Llama and Mistral by leading 5-person team. Developed Aurora zero-ETL integration with Amazon Redshift and Amazon SageMaker to enables near real-time analytics and machine learning (ML) using data from Aurora.
Software Development Engineer
Developed a novel prefetch algorithm for data read-ahead by incorporating clustering algorithms based on data access patterns, increasing SQL read throughput by 30%.
Software Development Engineer
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 on the project to personalized highlighting based on reader feedback. Incorporated information retrieval and reinforcement learning techniques for keyword extraction.
Research Assistant
Researched on action recognition with feature fusion which involved combining traditional computer vision techniques with deep learning to improve the accuracy of action recognition.