Senthil velan | QA Lead/Business Analyst

Senthil velan Radhakrishnan.

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Self-driven, quick starter, passionate QA automation lead with a curious mind who enjoys solving a complex and challenging real-world problems.

About

Dedicated Software QA Engineer passionate about delivering high-quality products that provide seamless experiences to customers. With a strong focus on quality assurance, I ensure that software applications meet the highest standards of functionality, reliability, and user satisfaction. Through meticulous testing and innovative problem-solving, I help drive the development of robust and user-friendly software solutions that exceed customer expectations.

Automation: Selenium WebDriver, Appium(Mobile), Junit, TestNG, Cucumber, API, Jmeter
Languages: Java, JavaScript, C#
Frameworks: ServiceNow ATF, Custom design(Selenium, Java, TestNG, BDD, Cucumber, RestAssured)
Databases: SQL(MySQL, Oracle)
Tools & Technologies: Postman, Git, AWS, Jenkins, Maven, Gradle
Test Management: Jira, Xray, qTest, HP ALM

My expertise in these tools allows me to create comprehensive, efficient, and maintainable test automation frameworks. I excel at identifying and resolving complex issues, ensuring software applications meet the highest standards of functionality, reliability, and user satisfaction. Through meticulous testing and innovative problem-solving.

Experience

Cognizant

Senior Associate

Led the design and development of multiple enterprise-level application automation frameworks and automation scripts to reduce the manual efforts 50% and bug free product delivery to end customer.
Designed and implemented scalable APls, Data base mocks and background jobs for managing test data for automation.
Led the QA projects for many enterprise level applications and deliverd 0 defects after rolled out to production.
Collaborated with Business, Development and Customer experience team to understand in identifying system requirements and partner dependencies to workload balancing.
Enriched system metrics by integrating with the platforms to deliver seamless reports to stakeholders.
Continuous Integration/Deployment Pipeline Integration, pull requests, integration/e2e testing.
Tools: Selenium, Java, BDD-Cucumber, RestAssured

Jun 2023 - Current | MI, USA; Jan 2016 - Jun 2023 | Chennai, India

Virtusa Consulting & Services (FKA - Polaris Consulting & Services)

Consultant

Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
Built a modular video analytics app using Flask, OpenCV that tracks the location of each human in a multi-camera environment; utilized perspective transformation, object detection, and object tracking to find the location of a human.
Increased the speed of the video analytics app by 20% by using a customized YOLOv3 algorithm to perform object detection and DeepSORT algorithm for multi-object tracking.
Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch

Apr 2011 - Dec 2015 | Chennai, India

Standard Chartered GBS

Analyst - Testing

Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity of each drug container to estimate the degradation of the drug.
Created an alert system to send notifications and emails when the parameters exceed the threshold.
Tools: Python, Flask, JavaScript

Apr 2008 - Mar 2011 | Chennai, India

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.