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Software Engineer Developer

Corpus Christi, Texas, United States
January 20, 2018

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SaiVinayTeja Manikonda

+1-361-***-**** Corpus Christi, TX


•Proficient with Java, python, shell scripting, MySQL

•Known as a quick learner, multitasker, confident and very motivated


Master of Science (M.S.) in Computer Science Aug, 2016 - May, 2018 (expected)

Texas A&M University-Corpus Christi (TAMUCC) GPA: 3.8/4.0 Corpus Christi, TX

Bachelor of Technology (B.S.) Computer Science and Engineering 2012 - 2016

Jawaharlal Nehru Technological University (JNTUK) Kakinada, AP, India


Programming Languages: C, C++, Python, Java, JavaScript, MySQL, HTML5, CSS, .NET

Programming Libraries: Tensor Flow, OpenCV, Keras, NumPy

Frameworks: Visual studio15, Weka, Xampp, NetBeans


Software Engineer Intern May, 2015 – Sept, 2015

Teckniklabs Ahmedabad, India

•Achieved data labelling and data pre-processing tasks for ongoing research projects

•Got a deeper understanding on mathematical foundations of Machine Learning algorithms

•Got acquainted with agile Development Methodologies

Software Developer Intern May, 2014 – Sept, 2014

Tejwin Software Solutions Private Limited Hyderabad, India

•Assisted senior software engineers and business analysts through-out the entire development cycle

•Facilitated in writing SQL stored procedures and got a hands-on experience with java and .NET

•Supported debugging, existing applications and documentation

Graduate Assistant Aug, 2016 – Present

Texas A&M University-Corpus Christi Corpus Christi, TX

•Teaching assistantship experience in Mobile Programming, Computer Networks, Data structures

•Aided students to debug and test their programming assignments (C, C++, Java, Python, and MATLAB)

•Supervised the labs, design and grade homework’s and quizzes

Academic Projects

Oil spill detection using Meta-Heuristic Algorithms (Master’s Thesis) (Python)

•Explored various Meta-heuristic algorithms for image segmentation

•Upgraded basic clustering techniques using Meta-Heuristic Algorithms (Machine Learning)

•Improved OTSU based segmentation using Meta-Heuristic Algorithms (Machine Learning)

Face Detection and Recognition using Convolutional Neural networks and machine learning techniques (Python, OpenCV, Cuda, Tensor Flow, C++)

•Designed an Artificial Intelligence (AI) model for a lab in the University

•Developed an efficient Convolutional neural network based on localization and detection

•Created dataset using YOLO: Real-Time Object Detection

•Installed it in the lab to recognize and greet the person that enters the lab

Frequent Pattern Mining using Big Data (Java, Weka)

•Implemented frequent pattern mining algorithm on US census data to prompt suggestions

•Employed high performance computing cluster and Apache spark Machine learning library

Object based Classification using Convolutional Neural Networks (Python, Java, Tensor Flow, OpenCV) (Artificial Intelligence AI)

•Developed a supervised model that can classify road, water, tree, land and house in an image

•Designed the model to learn the features from Cross spectral images

Geo Stick – Android app (Java, Android Studio)

•Devised an android application for location based reminding and message services

•Utilized Firebase backend, GCM and geo-fencing services for easy use of application

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