Abhishek King

I’m a results-driven AI/ML Engineer with a strong foundation in data science, academic research, and professional development. I work across Python and data-driven problem solving, with additional experience in Java, risk-assessment modeling, and AI-driven platforms.

In my recent Python Internship at Cognifyz Technologies, I developed and optimized Python programs using NumPy, Pandas, and visualization libraries. I improved code efficiency and maintainability by completing assigned tasks on time and integrating multiple Python modules into production-ready solutions.

My projects reflect how I translate models into usable experiences. In Health Guard AI, I built an AI system that compares medical reports, detect critical changes, and improved patient outcome prediction accuracy by 30% using feature engineering and model tuning. In Work Arena, I implemented real-time GROQ API integration with a FastAPI backend to reduce API response latency by 25–40%, and I built an AI evaluation model that automated work validation, reducing manual review effort by 50–60%; I also delivered customer churn prediction using Random Forest and XGBoost (over 70% accuracy) and a Complaint Portal that supported a 35% faster resolution cycle.