Siraj Ahmed
Senior Software Developer, Machine Learning @Kinaxis
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WORK HISTORY
Senior Software Developer, Machine Learning @Kinaxis
Ottawa, ON, CA
1)Served as Scrum Master and delivery lead for AI Integration and MLOps, driving sprint predictability, backlog health, and reliable enterprise releases.2)Lead data-science and ML development for retail and manufacturing demand-forecasting systems and GenAI supply-chain products, shaping model architectures, experimentation strategy, and production rollout.3)Drive technical design and implementation of cloud-agnostic, multi-tenant AI platforms built for enterprise scale, high availability, and long-term evolution.4)Develop Agentic-AI system, contributing to configurable agents, memory systems, orchestration layers, and production-ready autonomous workflows for supply-chain decisioning.5)Act as a technical authority across organizations, aligning Product, Platform, and Services teams around architecture decisions and delivery plans.6)Mentor engineers through 1-to-1 coaching and release shadowing, enabling team members to independently lead major launches.7)Design and roll out LLMOps and MLOps platforms across Azure and GCP using GitHub Actions, Kubernetes, Terraform, Helm, Argo, kafka, Python.8)Build automation frameworks for integration testing, accuracy benchmarking, and deployments—reducing manual effort while improving drift detection and system reliability.
EDUCATION
University of Ottawa
Master of Science - MS, Electrical and Computer Engineering
ABOUT SIRAJ AHMED
Senior software developer and AI platform leader with 8+ years of experience delivering production-grade ML and Generative-AI systems across supply-chain planning, retail analytics, and healthcare. At Kinaxis, I drive GenAI and advanced demand-forecasting initiatives—building agentic AI systems, contributing to scalable multi-tenant architectures, and leading MLOPs/LLMOps and CI/CD automation that cut manual efforts and infrastructure costs.I serve as a cross-organizational technical authority and Scrum Master for MLOps and integration teams supporting Kinaxis’ AI-powered demand-sensing and supply-chain optimization products, coordinating releases across Product, Services, and Platform groups while resolving high-severity production issues.Previously, I led healthcare AI research using high-performance computing to design novel neural-network architectures for predicting Parkinson’s disease progression from RNA-seq data, and productionized real-time object-detection systems on AWS and edge devices for retail applications.Expertise:Agentic AI development • GenAI platforms • LLMOps & MLOps • Multi-tenant system design • AI platform engineering • Time-series forecasting • Neural-network architectures • Object detection • High-performance computing • Azure/GCP • Python/Kubernetes/Argo workflows/kafka • Terraform/CICD automation • Cost-optimized cloud systems
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