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Akula KoushikStudent
Professional Experience
Education
KL University, Computer Science And Engineering
09/2021 – present | Guntur, India

CGPA: 9.7(Present)

Narayana Junior College, Telangana State Board of Intermediate Education(MPC)
2019 – 2021 | Madhapur, Hyderabad

Marks: 976/1000

Sri Chaitanya Techno School, Board of Secondary Education, Telangana
2018 – 2019 | Kompally, Hyderabad

CGPA: 9.8

Skills

Experienced: C, Java, Python, HTML, CSS

Advanced: Git, Data structures,PostgreSQL, Machine Learning

Skillful: SeleniumTesting Tools, Pandas, MongoDB, Springboot

Awards
JEE - MAINS - 94 percentile

Got Excellent in Jee Mains 2021 and qualified for JEE Advance 2021

National Science Olympiad (NSO)

Qualified for NSO 2015

Indian National Talent Search Olympiad

Qualified for INTSO 2016

Organizations
Swecha-AP, Volunteer

worked as volunteer to teach the Web Development in Swecha Organization

Learnings
Doing Research on Potato leaf disease prediction using Hybrid models, Tensorflow, CNN, DataAugmentation, Different Optimisers
Interests
Data Structures
Chess
Artificial Intelligence
Speech Recognition
Aptitude
Reasoning Skills
Communication Skills
Problem solving
SQL Database
Designing and developing APIs
Manual Testing
Scrum/Agile Methodologies
Projects
Library Management System
08/2023 – 11/2023

created a user-friendly checkout and return procedure that made it easier for librarians to deal with customers by organizing searches by department and specialization of expertise, which increased customer satisfaction.

Skills: Spring-Boot, MySQL, Java Server Pages

Heart Disease Prediction using Machine learning Algorithms
06/2023 – 09/2023

Using Machine Learning ensemble classifiers like Random forest to improve the accuracy of prediction

Vehicle Management System
02/2023 – 05/2023

Architected a comprehensive automobile management solution with a focus on security, integrating MongoDB and Node.js. In Authenication Module Encryption and Decryption Using Bcrypyt package.

Skills:Node.js, Express, MongoDB

Visual Recognition and image preprocessing using deep learning
12/2023 – 03/2024

Engineered and deployed a suite of advanced neural network models, including ANN, CNN, RNN, LSTM, GAN, and autoencoders, achieving a 95% accuracy rate on image recognition tasks across diverse datasets.

Selenium Tools For Automation
03/2024 – present

Setup Selenium to automate interaction operations and handle pop-up alerts. By means of a hybrid structure The program's hardcoded portion was eliminated by using the PageObjectModel design pattern.

Skills: Manual writing testcases, Integration Testing,Juint Testing and Regression Testing

Certificates
Software Engineer Certificate

It covers topics like Problem solving, SQL, and REST API.

IBM Machine Learning
07/2023 – 10/2023