Akshay Padte

Software Engineer

Seattle, Washington, United States2 yrs 9 mos experience

Key Highlights

  • Expert in developing AI training scheduling systems.
  • Proven ability to integrate ML models in software tools.
  • Significant contributions to open-source projects.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with a focus on AI and research applications.

Contact

Skills

Core Skills

C++PythonReact.jsGolangJavascript

Other Skills

Node.jsJavaWeb DevelopmentLinuxR (Programming Language)GitCloud ComputingRedisApache KafkaRabbitMQAlgorithmsKubernetesDockerPostgreSQLC (Programming Language)

About

Website and Blog: https://akshaypadte.com Some previous work: https://github.com/akshay-99

Experience

2 yrs 9 mos
Total Experience
1 yr 5 mos
Average Tenure
1 yr 3 mos
Current Experience

Meta

Software Engineer

Feb 2025Present · 1 yr 4 mos · Bellevue, Washington, United States

  • Meta Superintelligence Labs (MSL) Infra
  • Developing scheduling systems for AI training workloads
C++

Usc dornsife college of letters, arts and sciences

Research Assistant

Feb 2023Dec 2024 · 1 yr 10 mos · Los Angeles, California, United States

  • Developed software tools to help in the research goals of Morality and Language Lab
  • Built an annotation platform for Body-Worn Video, integrating ML models for AI-assisted human-in-the-loop annotations
React.jsPython

Smallcase

Software Engineer

Jul 2021Dec 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • Revamped core services to implement idempotent order processing and enhance reliability
  • Reduced coupling between different domains
  • Increased Kafka consumer throughput, cutting lag during periods of high activity
  • Integrated smallcase products with Indian stock-brokers
GolangPython

Google summer of code

Student Developer at Processing Foundation - GSOC 2020

Jun 2020Aug 2020 · 2 mos · Remote

  • Project: Extending the Friendly Error System (FES) of p5.js
  • (p5.js is a popular creative coding library)
  • Shrunk the size of the final build by 25%
  • Optimized parameter caching using prefix-trees, in turn speeding up many tasks by 2x
  • Reduced GIF output file size by up to 66 percent by fixing compression issues.
  • Extended support for the detection of common user errors for p5.js
  • Extended internationalization support
  • Resolved problems in the release process
JavaScript

Education

University of Southern California

Master of Science - MS — Computer Science

Jan 2023Jan 2024

KJ Somaiya College of Engineering, Vidyavihar

Bachelor of Technology - BTech — Computer Engineering

Jan 2017Jan 2021

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