Gowtham Batchala - Resume
PERSONAL DATA
PLACE: College Station, Texas
EMAIL:adjrec@r.postjobfree.com
ACADEMIC DETAILS
Examination University Institute Year CPI/%
Post Graduation Texas A&M Texas A&M 2019 3.5/4
Graduation IIT Bombay IIT Bombay 2018 6.08/10
Intermediate/+2 Board of Intermediate Education AP BIIT Junior college 2014 95.2/100 Metriculation Board of Secondary Education AP Bhashyam(EM) High School 2012 9.30/10 SCHOLASTIC/ACADEMIC ACHIEVEMENTS
Algorithmic Toolbox by University of California San Diego & National Research University Higher School of Economics on Coursera. Certificate earned at Wednesday, August 29, 2018 7:57 AM GMT.
Was awarded a certificate of merit in National Standard Examination in Chemistry(NSEC-2014) for being qualified for the Indian National Chemistry Olympiad(Theory)2014,one of the top 1% students selected
Scored 99 percentile in JEE Mains,among 1.4 million candidates TECHNICAL SKILLS
Languages :- C, C++, VHDL, Python, Ruby, Typescript .
Softwares & IDE :- Anaconda, MATLAB, AutoCad, Microsoft Visual Studio, Adobe After Effects .
Templating Languages :- LAT
EX, HTML, CSS .
Micro Controllers & Open Source Embedded Hardwares :- Arduino, Altera FPGA Board . KEY PROJECTS UNDERTAKEN
CIFAR-10 Image classification using novel architecture (Course Project) (Guide:Prof. Shuiwang Ji., Sep 2020 to Nov 2020)
Objective : To develop a deep learning model using our very own novel architecture
Implemented combination of Densenet and Googlenet architecture for my novel architecture design.
Resources Used : Anaconda, python, pytorch
Successfully implemented the project with a testing accuracy of 93% on CIFAR-10 data.
Face Detection (Course Project) (Guide:Prof. Tie Liu., Nov 2020 to Dec 2020)
Objective : To develop a model for human face detection based on Viola-Jones adaboost predictor.
Resources Used : Anaconda, python.
Successfully implemented the project with a testing accuracy of 97%.
Concord App (Course Project) (Guide:Prof. Duncan Walker, Sep 2020 to Dec 2020)
Objective(Team Project) : It’s a custom project where we develop an application which helps the Interviewers to check the collaboration of a group of candidates for a project/task given at the time of interview.
Resources Used : Typescript, node.js, visual studio code, github, heroku for deployment.
Applications deployment link: concord-app.herokuapp.com
Semisupervised Variational Autoencoder for Survival Prediction (Course Project) (Guide:Prof. Krishna Narayanan., Nov 2019 to Dec 2019)
Objective : To develop a deep learning model for survival prediction of cancer patients. 1
Resources Used : Google Colab
Implemented my very own novel architecture on BraTs(Brain Tumor) dataset.
Implemented Resnet bottleneck blocks inside the encoder and decoder blocks, applied KL divergence loss for image reconstruction on the semisupervised data.
Successfully completed the project with 42% testing accuracy
Autonomous Target Shooter (Technovation, IIT Bombay) (Guide:STAB, May 2016 till Jun 2016)
Objective : To develop an Autonomous Target Shooter which detects particular colored target through traditional computer vision and image processing.
Resources Used : Webcam, Arduino, Laser, C++.
Worked in a team and made a bot capable of finding and shooting targets on its own
Coded robot’s and microcontroller’s entire logic, image processing and PID controller in C++.
Developed algorithm for serial relay between microprocessor and microcontroller in C++.
Library Management application (Course Project) (Guide:D.B Phatak, Sep 2014 till Nov 2014)
Objective : Develped a user friendly app for library users
Resources Used : CodeBlocks(IDE & Complier), C++ language
The app can be used by new or old users to make/delete a book request, etc..
Successfully completed the project.
Conway’s Game of Life via VGA Output (Course Project)(Guide:Prof. Pradeep Sairin., Feb 2017 to April 2017)
Objective : To implement an A.I based cellular automation devised by the British mathematician CON- WAY
Resources Used : Altera FPGA Board,VGA Monitor, Quartus Prime
Implemented the game through VHDL using VGA Monitor
Successfully completed the project
Chaotic Based Signal Encryption (Course Project) (Guide:Prof. Pradeep Sairin, Sep 2017 to Nov 2017)
Objective : To create an encrypted signal using chaos.
Resources Used : Arduino, MATLAB
Implemented the chaotic encryption method in MATLAB based on logistic maps and developed a communication protocol to transfer data over wire through Arduino.
Used delta-modulator for digitization and analyzed data decryption success rate for different baud rates.
Transmission of Infectious Diseases (Course Project) (Guide:Prof. Amitaba Nandi, Sep 2017 till Nov 2017)
Objective : To Analyse the Modern ways of Transmitting of Diseases in b/w and finding mathematical strategies to tackle it.
Resources Used : MATLAB
Estimated the Vacination needed for some of the models like SIS,SIR and the full SIR.
Successfully completed the project.
PROFESSIONAL EXPERIENCES & P.O.R
CRASH DATA ANALYSIS (Internship) (Guide:Prof. Sudipto Mukherjee, May 2017 to july 2017)
Objective : To determine the speed of the impact during a vehicle crash .
Lead a team of 2 & successfully implemented an Analysis algorithm to find the vehicle speed of impact during the crash with 90% accuracy using MATLAB.
Utilized basic elements of Digital Image Processing & Computer Vision for the Project.
Achieved partial automation of speed calibration using 3D Bounding box and Machine learning tech- inques through c++.
Resources Used: MATLAB, C++ Visual Studio.
RELEVANT/KEY COURSES UNDERTAKEN
Non-core or Core Courses Electronics courses Mathematics Courses Micro and Macro Economics Introduction to Electronics Multi Variable Calculus Control Systems Digital Electronics Linear Algebra Introduction to Entrepreneurship Electronic Devices and Circuits Differential Equation Identifying and Exploiting Opportunities Signals and systems Complex Analysis Comp. Programming & Utilization(C++) VHDL & Digital Electronics Lab Numerical Analysis Remote Sensing Analog Circuits Machine Learning
Digital Image Processing Artificial Intelligence Intr. Prob graph model Deep Learning Software Engineering Pattern Recognition