Hi, I'm Kamalendu C Menon — AI/ML Engineer with a MEng in Applied AI.
I bridge research and production — building intelligent systems across speech, vision, and data at scale.
Designing and training ML/DL models for real-world tasks — from classification and regression to complex neural architectures.
Voice diarization, speaker segmentation, dataset curation, and model fine-tuning for speech-based AI — with hands-on industry experience at Vosyn.
Building agentic systems, document analyzers, and LLM-powered workflows that automate complex reasoning and development tasks.
Building scalable REST APIs, cloud-native applications, and full-stack systems — with production experience across enterprise clients.
Exploratory analysis, structured querying, and business intelligence — turning raw data into actionable insight through PostgreSQL, pandas, and visualization.
End-to-end test automation, performance benchmarking, and CI/CD integration — built custom Selenium frameworks for large-scale healthcare systems at UST.
I hold a Master's in Applied Artificial Intelligence from the University of Ottawa (GPA 3.9/4.0) and an MTech in Signal Processing — giving me a strong foundation across AI, deep learning, and signal systems.
My career spans software development, AI engineering, and QA — from researching voice diarization and fine-tuning speech models at Vosyn, to developing automation frameworks for large-scale healthcare systems at UST.
I'm passionate about translating research into production-ready AI — whether that's an agentic LLM system, a fraud detection pipeline, or a scalable analytics workflow.
Open to full-time roles, freelance data/AI projects, and research collaborations.
Especially interested in: applied ML, AI product development, and analytics infrastructure.