Software Engineer (Entry level)

Adhav Suresh Kumar

Æ 515-***-**** Q ****************@*****.***

Education

Central Michigan University, Mount pleasant,Michigan August 2019 – Present Master of Science,Computer Science

+ GPA: 3.7

+ Anticipated Graduation Date: May 2021

Anna University, Chennai,India August 2015 – April 2019 Bachelor of Technology,Information Technology

+ GPA: 3.7

Technical Skills

+ Programming Languages: Python, Java, C, C++, JavaScript.

+ Frameworks/Libraries: TensorFlow, NumPy, Pandas, REST, Pytorch, Sklearn, nltk.

+ Web Technologies: HTML5, CSS3, Angular7.

+ Tools/Software: Jupyter Notebook, MATLAB, Android Studio, Microsoft Teams, Git, Power Bi.

+ Database: MySQL.

+ Embedded Platform: Raspberry Pi, Arduino.

+ Cloud Technologies: AWS.

Professional Experience

Research Assistant,Central Michigan University,Mount pleasant,Michigan October 2019 – Present Ham/Spam Classifier: October 2019 – May 2020

+ Worked in a team of 3 to develop a machine learning model which predicts a particular telephonic call is a spam call or not.

+ Implemented LDA topic modeling algorithm to transform dataset of telephonic calls in a way to build spam detector.

+ Used K-means algorithm to cluster the conversations from the telephonic call and call is marked spam if a conversation falls into the spam cluster a lot.

+ Gained overall spam detection accuracy of 93%.

+ Technologies Used: Python, Jupyter Notebook, MATLAB. Video Geolocation(Master Thesis): August 2020 – Present

+ Extracted GPS points of a city using google earth.

+ Street view images of the gathered GPS points are downloaded by using Python’s google street view API.

+ Generated street view images are seperated into classes for image classification.

+ Used Tensorflow image classification model to find the actual location of the image used for testing, which is extracted from a random video.

+ Achieved 90% overall accuracy with our model for image classification.

+ Technologies Used: Python, OpenCV, Jupyter Notebook, TensorFlow Image classification. Software Engineer Intern,Ismile Technologies,Bolingbrook,Illinois June 2020 – August 2020

+ Worked on the IoT part of the "Covid Analyzer Bot" project and "Real Estate" mobile application.

+ Used BME280 temperature sensor and MAX30102 heartbeat sensor to get the human temperature and heartbeat readings.

+ Built a method to send the human vitals from Raspberry Pi to cloud service using streaming analytics.

+ Created Front-End pages for the Real Estate Application Using Power Apps

+ Technologies Used: Python, MySQL, Raspberry Pi, Microsoft Azure, Microsoft Teams, PowerBi, Power Apps. Programmer Analyst Intern,Cognizant Technology Solutions,Chennai,India January 2019 – July 2019

+ Developed front-end pages for the "Food Donation System" project.

+ Designed the front-end of the website using HTML5 and CSS3.

+ Worked in a team of 10 and developed back-end pages using Java. Academic Projects

Gesture Based Authentication Using Raspberry Pi August 2019 – December 2019

+ Used ADXL345 accelerometer to detect the gestures made by the user.

+ Built a model to detect the user’s gesture for authentication into the system.

+ Specified range for accelerometer using python and when the user’s gesture falls into that range they get sent into our system.

+ Technologies Used: Python, Raspberry Pi.

Image Processing Based Intrusion Detection Using Raspberry Pi January 2019 – April 2019

+ Used machine learning models to recognize human face.

+ Returns name of the person, if the model detects the person in our predefined dataset.

+ Built model which proactively deals with human faces,also sends email to the user,only if the person is not in the dataset.

+ Technologies Used: Python, Raspberry Pi, OpenCV, HaarCascade, Linear SVM, HOG.

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