Projects
Computer Vision
Natural Language Processing
AI Engineer · Computer Vision & Reinforcement Learning
Designing interpretable and human-centered intelligent systems.
📍 Boston, MA · Open to full-time AI roles
I’m an AI Engineer with a Master’s in Artificial Intelligence from Northeastern University, passionate about building intelligent systems that bridge human intuition and machine reasoning.
My work explores the intersection of computer vision, reinforcement learning, and explainable AI — designing models that not only perform well but can be trusted and understood. I believe AI should feel less like a black box and more like a dialogue — between logic and empathy, data and design.
Exploring interpretable systems in vision and healthcare.
M.S. Artificial Intelligence – Northeastern University
Integrating NLP and CV for accessible, explainable tools.
Guiding learners in ML and AI-driven projects.
3+ years building production ML systems across healthcare, recruiting, and nonprofit sectors
3+ years deploying production AI systems with 95%+ accuracy and 40% performance improvements
CNNs, ResNet, EfficientNet for medical imaging, deepfake detection, and real-time classification. Achieved 95%+ accuracy with Grad-CAM explainability.
Sentiment analysis, text classification on 150K+ datasets, transformer architectures. Built recommendation engines with 40% engagement boost.
Rainbow DQN, A3C, Decision Transformers for autonomous navigation. Multi-agent systems with 48.2 max reward in highway environments.
End-to-end ML pipelines with Docker, AWS (EC2, S3, SageMaker), CI/CD workflows. Reduced inference latency by 20% through GPU acceleration.
Grad-CAM, SHAP, LIME for transparent AI decision-making. Specialized in healthcare and cybersecurity applications.
International Journal of Research and Analytical Reviews (IJRAR)
December 10, 2022Developed a novel approach combining computer vision and recommendation systems to predict music preferences based on real-time facial emotion analysis.
View PublicationCurrently seeking full-time ML Engineer roles in Boston or remote. Open to Computer Vision, NLP, Healthcare AI, and Applied ML opportunities.
