C
Aayush Rajesh Jadhav
Software Developer- AI/ML Platform
Pune
Summary
Organized and dependable individual successful at managing multiple priorities and challenges with a positive attitude. Willingness to take on added responsibilities to meet expectations.
Overview
1
1
year of professional experience
6
6
years of post-secondary education
7
7
Certificates
Work History
Intern Software Developer
Light Information Systems
Pune
06.2020 - 08.2020
- Automating enterprise conversations and processes using Artificial Intelligence and Natural language processing
- Creating different workflows on the NLP-Bots platform for different use-cases
- Integrating APIs written on Python to facilitate the different CRUD operations to support the use-cases
- Created a chat-bot for the DWTC (Dubai world trade center) website
- Writing scripts to store, update and fetch data from the SQL database.
Software Developer AI/ML-Platform
E42
Pune
07.2021 - Current
- Programming, Unit testing and System testing of key software components and systems
- Creating and integrating high level APIs on the backend
- Writing scripts to automate data cleaning and preprocessing tasks on a corpus
- Creating different work-flows and use-cases for different clients
- Understanding and improving the system architecture for a better user experience on the chat bot
- Installation, setup and maintenance of, development, test and production environments both in house and at client locations/servers
Education
Bachelors of Technology - Computer Science and Engineering
Visvesvaraya National Institute of Technology(VNIT)
India, Nagpur 07.2017 - 05.2021
Advanced Certification Course - Machine Learning And Cloud Computing
IIT Madras/UpGrad
India, Online 08.2021 - 09.2022
Master of Science - Machine Learning And Artificial Intelligence
Liverpool John Moores University
UK, Online 07.2022 - 03.2023
Skills
Software programming
Software
C
Python
HTML
CSS
PHP
JavaScript
Angularjs
MATLAB
Python(keras, NumPy, Tensorflow, OpenCV)
Apache Kafka
AWS (EC2, EMR, Lambda)
Hadoop, Spark
Certification
DeepLearning.AI Natural Language Processing
Timeline
Master of Science - Machine Learning And Artificial Intelligence
Liverpool John Moores University
07.2022 - 03.2023
Advanced Certification Course - Machine Learning And Cloud Computing
IIT Madras/UpGrad
08.2021 - 09.2022
Software Developer AI/ML-Platform
E42
07.2021 - Current
Intern Software Developer
Light Information Systems
06.2020 - 08.2020
Bachelors of Technology - Computer Science and Engineering
Visvesvaraya National Institute of Technology(VNIT)
07.2017 - 05.2021
DeepLearning.AI Natural Language Processing
DeepLearning.AI Sequences and Time Series
DeepLearning.AI Convolutional Neural Networks
DeepLearning.AI Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI Neural Networks and Deep Learning
Stanford University Machine Learning
DeepLearning.AI Introduction to Tensorflow
Projects
Neural Style Transfer:
An optimization technique used to take two images—a content image and a style reference image and blend them together so the output image looks like the style image using computer vision and deep learning.
Blood Cell Type Classifier:
Classification between 4 different types of blood cells (eosinophil, lymphocyte, monocyte and neutrophil) using concepts of computer vision and deep learning
Shell Implementation In C:
Implemented an optimized Shell in C to work with system calls in kernel mode.
Detection of Anomalous Consumption of Energy:
Worked under a professor along with a team to detect anomalous consumption of energy using time series forecasting and functionally correlating it with the help of different weather parameters like temperature, humidity, wind speed etc. to flag anomalous usage of electricity
Projects
Neural Style Transfer:
An optimization technique used to take two images—a content image and a style reference image and blend them together so the output image looks like the style image using computer vision and deep learning.
Blood Cell Type Classifier:
Classification between 4 different types of blood cells (eosinophil, lymphocyte, monocyte and neutrophil) using concepts of computer vision and deep learning
Shell Implementation In C:
Implemented an optimized Shell in C to work with system calls in kernel mode.
Detection of Anomalous Consumption of Energy:
Worked under a professor along with a team to detect anomalous consumption of energy using time series forecasting and functionally correlating it with the help of different weather parameters like temperature, humidity, wind speed etc. to flag anomalous usage of electricity
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