βοΈ Software Engineering π€ AI Research π§ Agentic AI π Intelligent Automation

π Software Engineer and Applied AI Researcher with over 11 years of end-to-end experience across the full Software Development Life Cycle including architecture, backend development, distributed systems, intelligent automation, system integration, and large-scale enterprise delivery. Specialised in designing and engineering production-grade backend services and RESTful APIs in Python (Flask, FastAPI, Django, SQLAlchemy, Microservices) on cloud-native infrastructure (AWS, Docker, Jenkins, Elasticsearch).
π± Strong, demonstrated research orientation in Artificial Intelligence, Machine Learning, Deep Learning, and Large Language Models, with multiple publications (DOI-indexed) spanning medical imaging, speech emotion recognition, cross-lingual transfer learning, and natural language understanding. Comfortable moving fluently between engineering and research translating empirical findings into deployable systems, and translating production constraints into well-scoped research questions.
π§βπ» Hands-on with the modern AI stack PyTorch, TensorFlow, Hugging Face Transformers, DeepSpeed, LangChain, Scikit-learn, XGBoost, vector databases, and OpenAI/Gemini APIs applied to Retrieval-Augmented Generation (RAG), Agentic AI systems, autonomous testing, computer vision, and speech processing. Founder of the QAPulse by SK open-source ecosystem, which applies LLMs and intelligent automation to software quality engineering.
π― Industry experience spans Enterprise Resource Planning (ERP), Wireless & Telecommunications, Travel & Transportation Systems, E-Commerce and Food Delivery Platforms, Financial Services and FinTech, Payment Processing, Visa Card Integration, EMV Contactless Technologies, API Ecosystems, and AI-driven Intelligent Automation. Delivered enterprise solutions in partnership with Mastercard, HSBC, Al-Futtaim, Aldar, and Dubai Police.
π» Research interests include Large Language Models, Agentic AI, Retrieval-Augmented Generation, Selective Prediction & Uncertainty Quantification, Cross-Lingual & Low-Resource NLP, Speech Processing, Human-Computer Interaction, Intelligent Test Automation, Cloud Computing, Distributed Systems, and Data-Driven Decision Intelligence. Seeking to deepen formal research training and contribute to advanced research in AI and intelligent software systems.
π Founder, QAPulse by SK Β |Β https://www.skakarh.com , https://github.com/QAPulse-by-SK
β‘ Code β’ Test β’ Automate β’ Innovate β‘
βCode is like humor. When you have to explain it, itβs bad.β β Cory House
Here are some of my recent blogs where I share my experiences, tutorials, and learnings in software testing, automation, and development:
- Playwright vs Cypress in 2026: Which Tool Actually Wins?
- The Most Dangerous QA Engineer in 2026 Is the Comfortable One
- The Future of QA is Smaller Teams With Smarter Systems
- Why Smart QA Engineers are Quietly Becoming AI Workflow Architects
- Why Most Test Automation Frameworks Collapse at Scale
- (More articles coming soon... Stay tuned!)
