Dalon Lobo is a software developer at Amazon with 11 years of experience building scalable backend systems and applied machine learning solutions. He previously led AI and backend initiatives at VideoKen, where he developed semantic search with BERT embeddings, an end-to-end ASR pipeline that cut WER to 8%, speaker diarization, and recommendation engines that measurably increased engagement. Comfortable across the stack, he ships dockerized microservices, RESTful APIs, and GPU-backed model inference while grounding designs in product impact. His background spans practical web and dashboard engineering for enterprise clients to research-driven AI work, supported by a postgraduate degree in Artificial Intelligence. Based in Mississauga, he blends research rigor with production engineering discipline and a track record of turning complex ML models into reliable, revenue-driving features. An early freelancer and trainer, he also brings hands-on experience in mentoring teams and accelerating adoption of Python automation.
10 years of coding experience
7 years of employment as a software developer
Postgraduate Degree, Artificial Intelligence, 94.82, Postgraduate Degree, Artificial Intelligence, 94.82 at St. Francis Xavier University
Bachelor of Engineering (B.E.), Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electronics and Communications Engineering at St Joseph Engineering College, Mangaluru
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code Camp
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