Evaluated function, system, performance test according to client requirement.
Analyzing and understanding system requirement specification.
Involved in system testing, smoke testing, functional testing, regression testing.
Involved in functional testing, Accessibility testing.
Strong knowledge in identifying elements.
Currently working in tyrianpurple.ai as quality analyst and associate for the prompts and segments.
Worked at Ageye technology as Quality Analyst.
Worked at Livewire technologies DEC as Quality Analyst and data annotation engineer.
Performed Quality testing for Vulnerable Road Users, TLC, TSR, ESV, ECP, and Behavior.
Worked as quality analyst at Mercedes Benz.
Overview
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Language
Work History
Quality Analyst
tyrianpurple.ai
bengaluru, karnataka
Quality Analyst
Ageye technology
Quality Analyst and Data Annotation Engineer
Livewire technologies DEC
Quality Analyst
Mercedes Benz
Education
Skills
Good knowledge of Functional, Integration, and System testingundefined
Additional Information
To work in creative environment and effectively utilize my skills to contribute towards the goals of the organization besides gaining as much knowledge as possible in order to achieve expertise in the working domain.
Projects Involved
Worked as Quality analyst and data annotation engineer in Vulnerable road users project.
Worked as annotation engineer for Traffic signal recognition project.
Worked as quality analyst in Traffic light classification project.
Worked as quality analyst in VRU green staging project.
Worked as Quality analyst in Traffic light classification.
Worked as Quality analyst in VRU-ECP project.
Working as a Quality analyst for BDX
Working as a Quality analyst for logo annotations.
Personal Information
Father's Name: Mahantesh Koujalagi
Date of Birth: 11/14/95
Nationality: Indian
Marital Status: Single
Projects Description
VRU(vulnerable road users), staging tool 3.2.1. The project vulnerable road users plays an important role for the detection of the pedestrian on the road. In this project for the pedestrian hight more than 60 pxl, Bounding box has to be marked with the 17 skeleton points for all the pedestrian on the road. And the hight less than 60 pxl only Bounding box has to be marked.
TLC(Traffic light classification): staging tool 2.6 and QC tool. Traffic light classification is the project which help to identify the traffic lights in the junction and help the automation car to fallow the signals. Criteria for the traffic lights is 8 pxl. And the front signal is glowing and reaches its criteria then only all the bulbs in the frame have to be mark. This project will help to get to know that which all the signals are applicable and relevant for the car in the direction.
ESV (Emergency signal and vehicles): Labrador tool and python scripts. In ESV project we have to identify the emergency vehicles like ambulance, fire distinguisher and police in the running videos. We need to take the particular image timing and have to mention the attributes as glowing bulb, color of bulb etc.
Behavior: This project is related to traffic lights identification. In this project we have to mark the first glowing bulb occurs in the sequence and carry forward to next signals. Relevancy of the bulb, color of the bulbs are need to be mark for every new junction.
TSR (Traffic signals recognition): staging tool, This is the project to identify the traffic signals on the road and have to mark bounding box and all the attributes for the particular signals for examples cross left school ahead.
Disclaimer
I hereby declare that the above details are true to the best of my knowledge and belief.