{ section: “Portfolio” }

Real projects. Real bugs. Proven quality.



{

Core-Projects

/01
Project - Quantums

Quantum Platform (System, to scale your e-commerce media revenue)

Nature: E-commerce media solution maximizing advertising revenue and audience engagement through dynamic ad placements and analytics.

Tech Stack: MongoDB, Express.js, React, Node.js (MERN), Stripe/PayPal APIs, AWS.

My Role: Led end-to-end QA, including test planning, automation (Selenium), and performance testing (JMeter) to ensure seamless ad delivery and revenue tracking.

Best Practices: Implemented CI/CD pipelines for regression testing, reducing bugs in production by 30%. Conducted rigorous cross-browser and load testing to handle peak traffic.

/02

OwlSense(OSINT Tools) Big Data Analysis Engine

Nature: Advanced OSINT tool for social media analysis, enabling targeted data extraction, sentiment analysis and comprehensive intelligence gathering..

Tech Stack: Python, Elasticsearch, NLP libraries, Docker.

My Role: Designed test cases for data accuracy, API reliability, and security vulnerabilities. Automated data validation scripts to ensure integrity.

  • Analyze requirements → Design test strategy → Write/test cases → Validate deliverables → Stabilize deployments.
  • Automate API/performance tests (Postman, JMeter) in Agile/CI-CD pipelines.

Best Practices: Reduced deployment failures by 35% via pre-release smoke/sanity test suites.

  • Shift-left testing + traceability matrices for full coverage.
  • Metrics-driven (defect escape rate, test coverage) + root-cause analysis.
/03

SMART AI Application (Military) Boarder Surveillance App

AI-driven military border surveillance app for real-time object identification and integration with smartwatches for health monitoring.

Nature: AI-driven military app for real-time object identification (drones, vehicles) and soldier health monitoring via IoT smartwatches.

Tech Stack: TensorFlow (AI models), Flutter (cross-platform UI), Firebase (real-time alerts), IoT protocols (Bluetooth/Wi-Fi).

My Role: Authored SRS/SSRS/SDD/SSDD/STD/ATC docs, designed test cases for AI edge cases, and stabilized deployments across ruggedized devices. Added documentation and linked testing to BDA (e.g., AI edge-case validation).

Best Practices: Cut downtime 40% via failover protocols; enforced MIL-STD-810G in stress tests (temperature/shock resistance).

/04

iCrowdNewswire (AI Press Releases Distribution Services)

Nature: AI-powered platform for niche-specific press release distribution.

Tech Stack: Node.js, MongoDB, GPT-3, Azure.

My Role: Tested AI-generated content for accuracy and bias. Validated scalability under high submission loads.

Best Practices: Created a feedback loop with stakeholders to refine AI outputs, improving client satisfaction by 25%.

/05
Project - Chat Conference

Chat Conference

Nature: Secure messaging app with private/group chat and file sharing.

Tech Stack: WebSocket, React Native, AES-256 encryption.

My Role: Focused on security testing (penetration tests) and E2E testing for message delivery.

Best Practices: Reduced message latency by 20% through WebSocket optimization. Enforced OAuth 2.0 for authentication.

/06

CRM of Active Prime USA

Nature: CRM solution with data cleansing and customer service tools. Data Quality solution with exceptional customer service and data cleansing expertise, serving enterprises for over two decades.

Tech Stack: Salesforce, SQL, Python ETL scripts.

My Role:Ensured data migration accuracy and validated business logic in workflows.

Best Practices: Automated data validation, cutting error rates by 50%. Streamlined UAT with custom test environments.

/07

ERP System of Warm Winds USA

Nature: ERP solution offering top-quality surf equipment and educational experiences for the surfing community.

Tech Stack: Odoo, PostgreSQL, JavaScript.

My Role: Tested inventory management modules and integration with payment gateways.

Best Practices: Reduced checkout errors by 35% through boundary testing. Documented QA processes for future onboarding.