Kazal Chandra Barman | Lead Software Quality Assurance Engineer

EXPERIENCE

Lead Software Quality Assurance Engineer

Lead comprehensive QA strategy and execution across AI‐driven platforms, AI chatbots, AI Agent and MVPs, ensuring smooth and stable product releases in rapid sprint cycles.
Deliver robust end‐to‐end testing for Virtual Tryon application, validating 2D body mapping accuracy, virtual try‐on functionality, and camera‐based hand gesture interaction.
Execute comprehensive testing for Car Selling E‐commerce platform, covering UI/UX flows, REST API validation, and database integrity.
Mentor 5 QA engineers and establish best practices for web and AI system testing methodologies.

Senior Software Quality Assurance Engineer

Automated multilingual document OCR QA for CRNN/MaskRCNN pipelines, reducing validation time by 70%.
Implemented bounding box layout validation techniques, cutting manual verification time by 70% and improv‐ ing accuracy.
Executed extensive load testing and performance profiling using JMeter and Locust, improving OCR response time by 30%.
Collaborated cross‐functionally on micro‐services QA with AWS cloud services (EC2, Lambda, API Gateway) and Dockerized AI workflows.
Designed and implemented test automation for selection‐based template matching system with advanced validation protocols.

Software Quality Assurance Engineer

Delivered comprehensive QA for internal annotation management tool (Annotex) supporting computer vision/NLP datasets, serving 50+ annotators and 3+ ML teams.
Validated micro‐services architecture for multilingual NLP and computer vision tasks with focus on data integrity and system reliability.
Developed comprehensive API regression test collections and integrated them with GitLab CI for automated validation.
Implemented quality metrics tracking and reporting systems for continuous improvement.

AI Project Coordinator

Oversaw QA coordination for computer vision and NLP‐based demos and annotation prototypes in R&D environment.
Managed data preparation, test coverage planning, and user acceptance reviews for research projects.
Coordinated with ML teams to establish testing protocols for experimental AI models and systems.
Developed documentation and standard operating procedures for prototype testing workflows.

AI Researcher and Developer

Tested and validated OCR and NLP systems for Bengali and English data pipelines with focus on accuracy and performance.
Conducted research and development on machine learning model optimization and validation methodologies.
Contributed to test design and performance benchmarking for state‐of‐the‐art NLP and computer vision models.

Research Assistant – AI & Deep Learning

Conducted foundational AI research in voice recognition, computer vision, and general-purpose AI, contributing to publications and lab experiments.
Supported hands-on experiments and collaborated with faculty on R&D projects.

Part-Time Instructor – Web Development

Taught HTML, CSS, and PHP-based web design/development courses to students and professionals in vocational training programs.

Junior PHP Programmer

Developed user-friendly PHP web applications, assisted in debugging and deployment, and gained hands-on software engineering experience.