Engineer Assistant

Vishnu Annapareddy

Brooklyn, NY j 347-***-**** j https://amahavishnua.github.io/ResumeG/

Pro le Links

Medium: https://mahavishnureddya.medium.com/

Linkedin: https://www.linkedin.com/in/vishnu-maha-573717129/ GitHub: https://github.com/amahavishnua

Mail: mailto:**********@*****.***

CORE SKILLS

Programming Languages: Python, Java, JavaScript (ES6), HTML5, SASS, JSON, JSX, XML, TeX. Frameworks: Django, React, Node.js, Android, Flask, Express. Databases: MongoDB, SQL, SQLite, Firebase.

Tools: Eclipse, Visual Studio Code, Jupyter Notebook, GNS3, Wireshark, Github. EDUCATION

New York University NY

Masters, Computer Engineering GPA: 3.4/4.0 May-2021 KL University India

Bachelors (Hons), Electrical and Computer Engineering GPA: 7.23/10.0 May-2019 WORK-EXPERIENCE

Teaching Assistant NY

RTES, NYU 08, 2020 12, 2020

• Designed project with Prof. Mathew which is apt in this pandemic, project will monitor the exercises done automatically

(jumping jacks, squats, situps) and will keep a count of them

• Helped grad students achieving the objectives of project Software Engineer Intern, Embedded Systems India

Que Technologies 07, 2018 01, 2019

• Developed AI enabled Food Processing using using Open CV that helped reducing 20% of human error.

• Collaborated with hardware team to work on Email noti cation feature.

• Led an initiative towards implementing Logistic Regression in embedded sensors to reduce errors. PROJECT WORK

Obesity(level) prediction API Machine Learning 01, 2020 05, 2020 https:/github.com/amahavishnua/MlprojectFlask

• Developed a REST application using Flask and Used pearson correlation to extract best among many features

• Now using Polynomial Regression on 6 extracted features API will predict the severity of Obesity DB management API for an Insurance Comp. Principles of Database Management Systems 01, 2020 05, 2020

• Developed a REST application using Django Framework.

• mainly used MYSQL database for this project, Django Admin is used extensively

• resilient to SQL injection attack, Password encryption, B-Tree indexing enabled Adversarial Attacks on Deep Neural Networks Machine Learning for Cyber Security 09, 2020 12, 2020 https:/github.com/amahavishnua/MlprojectFlask

• Developed FGSM based adversarial attack using Tensor Flow .

• implemented Generative Adversarial attacks to identify the Deep fakes.

• Collaborated with 2 other NYU students to work on Adversarial retraining . Software De ned Networking uing RYU controller Data center and Cloud Computing 05, 2020 08, 2020 https://github.com/amahavishnua/MlprojectFlask

• Developed SDN RYU controller based.

• implemented a minikube and deployed a word press site on docker.

• created an example net to calculate the best route using OVS (Open Virtual Switch)

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