I build production-ready AI systems, computer vision solutions, and scalable backend platforms that combine research depth, engineering rigor, and real-world impact.
Kalyana Abenanth Gurunathan
About
Engineering-first AI portfolio
I bring a mix of production software engineering, applied AI delivery, and graduate-level research in computer vision and machine learning. My work spans scalable backend systems, RAG pipelines, multimodal AI, and practical deployment-focused ML solutions.
Journey
Experience shaped through engineering, research, and AI leadership
A path built across production software, applied AI, research, and real-world adoption.
Featured Work
Projects that show depth, not just demos
Adversarial Prompt Detection in LLMs
Real-time adversarial prompt filtering with strong classification performance and practical deployment value.
RAG-Powered Canadian History Chatbot
Grounded retrieval system using vector search, semantic retrieval, and low-latency response orchestration.
Vision Models for Multimodal Interaction
Region-aware image composition and multimodal fine-tuning for controllable AI-assisted generation.
Ultrasound Bone Age Assessment
Capstone medical AI system for automated skeletal maturity assessment from ultrasound video without ionizing radiation.
Education
Academic foundation in advanced AI
Graduate studies focused on Computer Vision, NLP, and the engineering of practical intelligent systems.
Master of Engineering in Electrical and Computer Engineering
Research focus in Computer Vision and NLP, with strong interest in applied AI systems, multimodal learning, and practical deployment.
Certifications
Credentials and professional recognition
Industry certifications, training milestones, and professional memberships that support my applied AI and engineering work.
Contact
Let’s build something useful
I’m interested in AI engineering, machine learning systems, computer vision, and backend platform work that creates measurable value.