YASH NARAYANA DODDERI
Bengaluru
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Engineer
Couchbase
10.2022 - Current
- Implemented a framework to verify one of Couchbase's most critical component - Global Secondary Indexes using python and using couchbase SDK which can 1K queries per second
- Setup a CI/CD pipeline on jenkins to monitor any software defects and vulnerabilities
- Developed a random query generator tool(RQG) which generates random queries based on index definition, to simulate real life workload by customers.This resulted in finding critical vulnerabilities and defects in the system
- Employed advanced debugging techniques by replicating users environments within Docker containers to efficiently help troubleshoot and resolve customers bugs.
Quality Assurance Intern
Amazon
01.2022 - 07.2022
- Automated nearly 100 test cases for a compliance program across 3 regions, enhancing efficiency
- Documented crucial API payloads for QA team reference, streamlining processes
- Initiated validation for 3 critical modules of Amazon Pay migrating from on prem to hosting on AWS ensuring smooth transition
- Built a observability dashboard for the management to track the software defects on demand.
Software Engineer Intern
Nichesoft
09.2021 - 11.2021
- Researched on the hyperparameters required for the ball in/out detection algorithm
- Achieved an accuracy of over 95% as a result
- Developed a tennis court detection algorithm which detects the lines of a tennis court from the video feed
- The ball detection algorithm developed was later made into python package which could used by anyone in org and suitable for deployment purpose.
Education
BTech in Computer Science and Engineering -
SRM Institute of Science And Technology
Chennai06.2022
Skills
- Python
- Java
- Go
- AWS(S3, EC2)
- Shell
- TensorFlow
- Numpy
- Pandas
- Scikit-Learn
- Flask
- Docker
- Firebase
- Jenkins
Certification
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, 06/2020, Coursera
- Practical Machine Learning with Tensorflow, 02/2021, NPTEL
Projects
House prices prediction
https://github.com/matrix007-creator/house_price_prediction
• Developed an application which helps in estimating the price of houses for various configurations using machine learning algorithms. • Used tensorflow for the machine learning logic and flask to write the server side logic.
• Extensive preprocessing was done to remove anomalies present in the dataset
Insurance Premium Estimation
https://github.com/matrix007-creator/Insurance-Premium
• Developed an application that estimates the insurance premium of a person
• This application takes into account of the age, gender, bmi and the smoking status of a person
• It utilises machine learning algorithms to give an accurate estimation of the insurance premium to be borne
Timeline
Software Engineer
Couchbase
10.2022 - Current
Quality Assurance Intern
Amazon
01.2022 - 07.2022
Software Engineer Intern
Nichesoft
09.2021 - 11.2021
BTech in Computer Science and Engineering -
SRM Institute of Science And Technology
Similar Profiles
Mohsin AhmedMohsin Ahmed
Software Engineer 2 at CouchbaseSoftware Engineer 2 at Couchbase
Brady FalkBrady Falk
Enterprise Territory Sales Representative at CouchbaseEnterprise Territory Sales Representative at Couchbase
Nishant TripathyNishant Tripathy
SOFTWARE DEVELOPMENT ENGINEER 1 at CouchbaseSOFTWARE DEVELOPMENT ENGINEER 1 at Couchbase