Shashidhar Sai Poloju

Experience

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  Bharat Heavy Electricals Limited

  May 2019 - Jun 2019

  Industrial Trainee

  Study of Manufacturing of Steam Turbines to take the present technology of it to next level(More Efficiently).

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  Bennett University

  May 2020 - Jun 2020

  Deep Learning Intern

  • Developed a Neural Network aimed at reducing crime rates by strengthening surveillance systems through computer vision and utilizing an object detection API.• Applied Deep Neural Networks, Keras, and Tensorflow in Google Colab as the primary tools for developing the ”MobileNet” CNN model.• Collaborated with an Assistant Professor within the Leading India AI team to enhance the project. Their support contributed to the successful development of a high-accuracy working model.• Worked under the team of Leading India AI, achieving significant success in creating an effective and accurate neural network for crime rate reduction. Show less

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  DoorHopper

  Jun 2020 - May 2021

  Full Stack Developer

  - Designed and implemented the architecture of the website and backend systems using Python, Django, and Flask.- Developed APIs for communication between the frontend and backend, utilizing RESTful principles.- Implemented security measures, including encryption and authentication protocols, to protect user data.- Optimized performance and scalability of the system through efficient database design and caching mechanisms.- Collaborated with cross-functional teams to deliver features according to requirements, utilizing Agile methodologies.- Tested and debugged code to ensure reliability and stability of the platform, utilizing testing frameworks such as PyTest. Show less

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  Wipro

  Jun 2021 - Jul 2022

  Software Engineer

  - Participated in Corporate Hackathon conducted by Cardinal Health Group.- As a Data scientist and ML developer, developed an application called Patient Adherence Application.- Using Bi-GRU Layers developed a Neural Network which is able to forecast the body vitals depending on past.- Experimented on Time Series Algorithms like SARIMAX, Facebook Prophet and Deep Neural Layers like RNN, LSTM.- For development of code used Jupyter Notebook and For data visualization used Spyder.- Represented all the statistics in the application by visualizing the graphs.- Worked in Internal Project called BioAPI in which developed a backend python code for calculate the mortality and durability of the Corona virus variants using Nucleotide sequences and Protein sequences.- This project involves study on Proteins and Implementation of Dynamic Programming in Health. Show less