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QA Engineer with 1+ years in Quality Assurance, Product Support, Cybersecurity, and AI/ML Testing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented MCA graduate with experience in Quality Assurance, Product Support, Cybersecurity, and Generative AI testing. Skilled in manual and API testing, regression, stress/load testing, licensing validation, and cloud deployments on AWS. Hands-on exposure to AI/ML-based systems, OCR validation, chatbot testing, and document automation workflows. Adept at collaborating with cross-functional teams, supporting clients, and suggesting UI/UX improvements to enhance product quality and user experience.
Indira Gandhi National Open University (IGNOU)
MCA
August 1, 2024 – June 30, 2024
KLS Gogte College of Commerce
BCA
August 1, 2021 – June 30, 2021
BlueBricks Technologies Pvt Ltd
QA and Product Support Engineer
January 1, 2025 – September 1, 2025
India
BlueBricks Technologies Pvt Ltd
AI/ML Intern
September 1, 2024 – December 1, 2024
India
Cybersecurity Projects
June 15, 2026 – Present
Veri5Now (e-signing and video signing), Axiom Protect 2.0 (SSO, IAM, RBA, Passwordless login, OIDC, SAML), E-KYC, Valydate4U (license automation), Engage Chatbot, and Intellitemplate (document automation).
AI and GenAI Testing
June 15, 2026 – Present
Hands-on validation of Generative AI chatbots (prompt-response testing, hallucination detection, edge-case handling), OCR-based document automation (form field recognition, PDF parsing, data export), and AI-driven decision engines (score validation, consistency, safety, and performance).
REST API Development for File Management
June 15, 2026 – Present
Developed a REST API using Flask for file management and tested it with Postman.
AI-based Fraud Detection System
June 15, 2026 – Present
Built an AI-based Fraud Detection System, achieving 97% accuracy and strong performance metrics.
Handwritten OCR Implementation
June 15, 2026 – Present
Researched and implemented Handwritten OCR using Microsoft TrOCR and the IAM dataset.
Document Recognition Models
June 15, 2026 – Present
Worked on document recognition models with Google Teachable Machine.
Cultural Fit Analysis
The candidate's project experience spans cybersecurity, AI/ML, and general software testing, indicating a broad interest and adaptability. Their academic projects in AI/ML, combined with professional QA experience, suggest a proactive learning approach. The role alignment with QA Engineer is strong, and the breadth of skills (manual, API, performance, AI/GenAI testing, AWS) indicates a versatile individual who could fit well into diverse technical teams.
Soft Skills & Operational Fit
The candidate demonstrates strengths in being a fast learner, team player, flexible, and possessing good communication skills, which are beneficial for a QA Engineer role. Their experience in production support and SLA-based issue resolution indicates an operational mindset. The project diversity suggests adaptability and a willingness to engage with various technical domains.