Summary
Mehmood Munir is a Lead Data Scientist with eight years of experience building production-grade ML and MLOps features that combine explainability, observability, and security. At Giggso he drove the design and delivery of LLM Monitoring (observability, firewall, clarity) and an explainability suite for Keras/Sklearn/TensorFlow models, directly impacting product growth and production trust. His background spans data engineering and AIOps—shipping service dependency graphs, exporters, Grafana/Kibana dashboards, Kafka event streaming, and cost-saving retention policies that cut Elastic costs by ~50%. Earlier roles in DevOps, React development and as a research group lead reflect a hands-on full-stack mindset and an ability to scale teams and processes. He pairs strong academic performance (BSCS, top grades) with practical wins in security tooling and secret management. Based in Islamabad, he blends reinforcement learning and ML research interests with real-world deployment expertise to turn models into reliable, explainable products.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.9, Master's degree, Computer Science, 3.9 at National University of Computer and Emerging Sciences
Urdu, English