Freelancer logo How It Works Browse Jobs Log In Sign Up Post a Project
EXPLORE
Algorithm Deep Learning Linux Machine Learning (ML) Python
Profile cover photoundefined
You're now following .
Error following user.
This user does not allow users to follow them.
You are already following this user.
Your membership plan only allows 0 follows. Upgrade here.
Successfully unfollowed user.
Error unfollowing user.
You have successfully recommended
Error recommending user.
Something went wrong. Please refresh the page and try again.
Email successfully verified.
User Avatar
$80 USD / hour
Flag of UNITED STATES
los angeles, united states
$80 USD / hour
It's currently 12:09 PM here
Joined October 5, 2019
0 Recommendations

Amirerfan E.

@erfaneshrati

annual-level-three.svgpreferred-freelancer-v2.svgverified.svg
5.0 (28 reviews)
6.5
6.5
$80 USD / hour
Flag of UNITED STATES
los angeles, united states
$80 USD / hour
100%
Jobs Completed
96%
On Budget
100%
On Time
28%
Repeat Hire Rate

Computer Scientist, Ph.D.

I'm Erfan, Ph.D. from University of Southern California. I do part-time projects and will be happy to assist you in: Data Analytics Database Management Data Mining System Admin Machine Learning Deep Learning Computer Vision Python Development Algorithms
Freelancer Machine Learning Experts United States

Contact Amirerfan E. about your job

Log in to discuss any details over chat.

Portfolio Items

I built a 2-GPU deep learning workstation from scratch. It saved the client $1500.
Deep Learning Workstation
This project was about training reinforcement learning agents for a leveled field using Ray RLlib. RLlib is an open-source library for reinforcement learning (RL), offering support for production-level, highly distributed RL workloads while maintaining unified and simple APIs for a large variety of industry applications. The project included:
- Support for all RLlib algorithms such as PPO, A3C, A2C, AlphaGo, etc.
- Accelerated GPU processing
- Custom defined rewards and prediction models
- Various logging metrics
Industry-Grade Reinforcement Learning
This project is based on a Raspberry Pi local server and Wi-Fi actuators for controlling of every piece in a house in a smart way.
Smart Home Solutions
This project is based on a Raspberry Pi local server and Wi-Fi actuators for controlling of every piece in a house in a smart way.
Smart Home Solutions

Reviews

Changes saved
Showing 1 - 5 out of 28 reviews
Filter reviews by: 5.0
$1,200.00 USD
nice job. Professional and fast
User Avatar
Flag of Kris L. @kfairik
21 days ago
5.0
$20.00 USD
He is good at the subject. Delivered intime and made necessary changes when asked for. I Highly recommend him
Machine Learning (ML) Artificial Intelligence Deep Learning
E
Flag of Enose B. @enosearrabelli7
5 months ago
4.4
$750.00 USD
Works great and reliable
R
Flag of Ci S. @regios386
7 months ago
5.0
[SEALED]
great cooperation, professional technical advice :)
User Avatar
Flag of Daniel S. @investitsystems
7 months ago
5.0
$2,000.00 USD
Perfect time and job.
User Avatar
Flag of Kris L. @kfairik
8 months ago

Experience

Research Scientist

Clarifai
Feb 2021 - Present
My job is to improve a no-code/low-code AI platform.

Education

Doctor of Philosophy

University of Southern California, United States 2017 - 2021
(4 years)

Master of Science

University of Southern California, United States 2016 - 2018
(2 years)

Publications

BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services

ACM ISLPED
Recent studies have shown the latency and energy consumption of deep neural networks can be significantly improved by splitting the network between the mobile device and cloud. This paper introduces a new deep learning architecture, called BottleNet, for reducing the feature size needed to be sent to the cloud.

Gradient Agreement as an Optimization Objective for Meta-Learning

NeurIPS Meta-Learning Workshop
This paper presents a novel optimization method for maximizing generalization over tasks in meta-learning. The goal of meta-learning is to learn a model for an agent adapting rapidly when presented with previously unseen tasks.

JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

IEEE Transactions on Mobile Computing
In this paper, we propose an efficient, adaptive, and practical engine, JointDNN, for collaborative computation between a mobile device and cloud for deep neural networks in both inference and training phase.

Contact Amirerfan E. about your job

Log in to discuss any details over chat.

Verifications

Preferred Freelancer
Identity Verified
Payment Verified
Phone Verified
Email Verified
Facebook Connected

Certifications

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 89%

Top Skills

Machine Learning (ML) 30 Python 23 Deep Learning 19 Algorithm 13 Linux 10

Browse Similar Freelancers

Machine Learning Experts in United States
Machine Learning Experts
Python Developers
Deep Learning Specialists

Browse Similar Showcases

Machine Learning (ML)
Python
Deep Learning
Algorithm
Previous User
Next User
Invite sent successfully!
Registered Users Total Jobs Posted
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2022 Freelancer Technology Pty Limited (ACN 142 189 759)
There is no internet connection
Loading preview