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Chirag Shah
Dublin, Ireland
• Software Engineer having 2.5 years of experience. • Data Structures, Algorithms, Distributed Systems, Cloud, and Microservices are my areas of interest.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
715.9
CodersRank Rank
Top 1%
Top 1
C++
Developer
Ireland
Top 5
Jupyter Notebook
Developer
Ireland
Top 5
Python
Developer
Ireland
Highest experience points: 0 points,
0 activities in the last year
C++
352.8
exp.
Python
159.3
exp.
Jupyter Notebook
86.1
exp.
HTML
29.7
exp.
JavaScript
20.4
exp.
JSON
18
exp.
CSS
10.7
exp.
Java
9.8
exp.
SCSS
8.1
exp.
List your work history, including any contracts or internships
Apple Full-time
May 2021 - Jun 2021 (1 month)
Software Engineer
Intel Corporation Full-time
May 2020 - Apr 2021 (11 months)
Software Engineer
- Implemented and benchmarked ProxyLess NAS(Neural Architecture Search) algorithm for Intel vision processing unit deployed on low-power devices. Achieved a top-1 accuracy of 72% against 74% as the benchmark.
- Design and develop a distributed performance monitoring platform to effectively visualize metrics of ProxylessNAS. Responsible for scaling across the monitoring platform using serverless framework, and AWS services.
- Design and develop a distributed performance monitoring platform to effectively visualize metrics of ProxylessNAS. Responsible for scaling across the monitoring platform using serverless framework, and AWS services.
Self employed
Aug 2019 - May 2020 (9 months)
Software Developer
Add some compelling projects here to demonstrate your experience
Exploratory data analysis on New York Crime Complaint data
Mar 2020 - Apr 2020
Technologies used -
Python, Numpy, Pandas, sklearn, Matplotlib, Data Science, Data Analysis
Python, Numpy, Pandas, sklearn, Matplotlib, Data Science, Data Analysis
Multi-label classification on Yeast Dataset
Mar 2020 - Apr 2020
pydesignpatterns
Jul 2018 - Jul 2019
Grokking design patterns in python.
On the go library to understand design patterns with code snippets.
On the go library to understand design patterns with code snippets.
This section lets you add any degrees or diplomas you have earned.
University College Dublin
MSc, Computer Science (Negotiated Learning)
Jan 2019 - Jan 2020
Key modules -
Advanced Data Structures, Distributed Systems, Deep Learning, Machine Learning.
Advanced Data Structures, Distributed Systems, Deep Learning, Machine Learning.
Veermata Jijabai Technological Institute (VJTI)
Bachelor of Technology (BTech), Information Technology
Jan 2014 - Jan 2018
Key modules -
Data Structures and Algorithms, Operating Systems, Software Architecture and Design Patterns, Big Data Analysis, Machine Learning, Cloud Computing, Networking
Data Structures and Algorithms, Operating Systems, Software Architecture and Design Patterns, Big Data Analysis, Machine Learning, Cloud Computing, Networking
Udacity
Data Structures And Algorithms Nanodegree, Computer Science
Jan 2020 - Jan 2020
University of Michigan
Python for Everybody specialization (via Coursera), Computer Science
Jan 2019 - Jan 2020
5-course specialization:
1. Programming for Everybody (Getting Started with Python)
2. Python Data Structures
3.Using Python to Access Web Data
4. Using Databases with Python
5. Capstone: Retrieving, Processing, and Visualizing Data with Python
1. Programming for Everybody (Getting Started with Python)
2. Python Data Structures
3.Using Python to Access Web Data
4. Using Databases with Python
5. Capstone: Retrieving, Processing, and Visualizing Data with Python
deeplearning.ai
Specialization - TensorFlow in Practice, Com
Jan 2019 - Jan 2020
4 course specialization offered by Coursera and deeplearning.ai
1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
2. Convolutional Neural Networks in TensorFlow
3. Natural Language Processing in TensorFlow
4. Sequences, Time Series and Prediction in TensorFlow
1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
2. Convolutional Neural Networks in TensorFlow
3. Natural Language Processing in TensorFlow
4. Sequences, Time Series and Prediction in TensorFlow
deeplearning.ai
Specialization in Deep Learning, Computer Science
Jan 2017 - Jan 2019
5 course MOOC specialization from Coursera under the guidance of Andrew Ng.
Microservices Foundations
May 2020
AWS Fundamentals: Going Cloud-Native
Apr 2020
Convolutional Neural Networks in TensorFlow
Feb 2020