VIshnu Keeriyat

I'm a data scientist and AI/ML engineer bridging the gap between data science and business growth — I build systems that turn data into decisions, and I'm equally comfortable in the model layer and the go-to-market layer. That combination is unusual and it's deliberate: an MSc in Artificial Intelligence & Data Science (University of Liverpool) sits alongside an MSc in Business Intelligence & Digital Marketing (Brunel University), so I read both the technical and commercial sides of a product the same way.

Currently, as ML Engineer & Technical Product Lead at an EdTech startup, I've architected a multi-agent AI system (reasoning-planning-acting framework) that moves beyond chatbots into autonomous workflow execution, built a generative AI suite on Amazon Bedrock and Claude 3 that converts static lesson content into interactive, auto-graded material, and developed a computer-vision pipeline (ResNet50 + Transformer-based TrOCR) to digitize handwriting from neurodivergent learners. I engineered the AWS data lakehouse (S3 + Glue + Athena) underneath it, and presented the product roadmap to stakeholders at Barclays and Y Combinator.

Before this, I worked at the intersection of marketing and data more directly: scaling a fitness startup to 100+ countries in seven months, automating multichannel CRM journeys (Zapier, GA4, Google Tag Manager), and running a 53% subscription-growth lifecycle campaign backed by data analysis rather than guesswork.

I'm most interested in roles where those two things meet — ML/AI engineering applied to real business outcomes, whether that's a straight Data Scientist / ML Engineer seat or something like a marketing-analytics or growth-data role where the modeling has to answer directly to revenue. I'm not looking to pick one lane and abandon the other; the roles I do best in ask for both.