Abhijit A.

Artificial Intelligence Developer at SQUATS Machine/Deep learning | ChatBot | NLP| VR | IoT | Blockc

Pune , India

Experience: 3 Years

Abhijit

Pune , India

Artificial Intelligence Developer at SQUATS Machine/Deep learning | ChatBot | NLP| VR | IoT | Blockc

USD / Year

Start Date / Notice Period end date:

3 Years

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About Me

Career Objective

Intend to build a career with leading corporate with committed & dedicated people, which will help me to utilize my talent for organizational growth and realize my potential. Professional Summary

Working as ...
for organizational growth and realize my potential. Professional Summary
- Working as a ‘Artificial Intelligence Developer’ with SQUATS Fitness Pvt. Ltd. Pune.
- Having 2.5 years of experience in Python development.
- Extensively involved in Machine learning using python.
- Worked on web-based applications using Microsoft Technologies and Flask.
- Worked on Deep Neural Networks using Tflearn.
- Worked with SQL and MongoDB database.
- Worked on cloud services like AWS Lamda, Rekognition, IBM Watson Knowledge Studio, and Azure cognitive services.  Familiar with version control tools (Git) and Git flow.
- Trained in core Java, Angular, and C#.
- Good understanding of front-end technologies, such as JavaScript, HTML5.
- Good understanding of Design Patterns.
Technical Skills Programming Languages:

Python, Angular, C#, Core Java, C++, Embedded C. Databases: SQL, MongoDB. Machine Learning Tools: TensorFlow, Keras, RASA NLU, Tflearn, Spacy, pandas, scikit-learn. Operating system: Windows Family, Linux.
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Skills

Positions

Portfolio Projects

Description

 These products are used for Automated Chatbot.
 Food recognition can recognize 1000 food Items.
 These applications are going to be available in Web application as well as In our
Fittr Android application.
 These all project are using a Deep learning Tensorflow models in serving.

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Description

 These products are used for Realtime Health monitoring.
 Motion recognition can recognize 20 exercise and find out the error for wrong
pose.
 These applications are going to be available in mobile platform using Tflite
technology.
 Part of the patent research and development team.

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