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Ibrahim Jafri

@ibrahimjafri1

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Lead AI/ML Architect specializing in GenAI, LLMs, RAG, and MLOps.

Canada

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What I'm looking for

I seek senior roles building production-grade GenAI and MLOps platforms where I can lead architecture, mentor teams, and drive responsible, scalable AI deployments.

I am a Lead AI/ML Engineering Architect with 11+ years of experience designing, building, and scaling enterprise-grade AI, machine learning, and Generative AI platforms. I have architected production-ready LLM systems, RAG solutions, autonomous agentic workflows, and multi-modal applications, delivering high-impact, low-latency systems used by millions while leading and mentoring globally distributed teams.

I excel at translating complex business problems into scalable technical architectures and driving cross-functional alignment across product, security, legal, and compliance stakeholders. My work includes establishing organization-wide MLOps standards, evaluation frameworks, and AI governance while optimizing cloud-native infrastructure and operational reliability for production-scale AI workloads.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Architect

Current

AltaML

May 2022 - Present (3 years 8 months)

Architected and led enterprise AI/ML and Generative AI platforms supporting millions of users, delivering low-latency LLM inference, RAG, and agentic workflows while establishing MLOps, governance, and evaluation frameworks.

LLM RAG Agentic AI MLOps Kubernetes Terraform Vector Databases Model Monitoring Python

Senior Software Engineer

Veerum

Oct 2018 - Apr 2022 (3 years 6 months)

Led design and implementation of end-to-end ML pipelines and production inference systems, delivering recommender systems, fraud detection, and scalable feature engineering with improved reuse and reliability.

Spark Monitoring Python Distributed Systems ETL

Software Engineer

Osperity

Mar 2016 - Sep 2018 (2 years 6 months)

Built and deployed predictive and NLP models for churn, demand forecasting, and text classification, and exposed models as RESTful microservices to enable real-time inference.

NLP Time Series REST APIs Python Hyperparameter Tuning ETL

Associate Software Engineer

Convverge, Inc.

Aug 2014 - Feb 2016 (1 year 6 months)

Developed data ingestion, ETL, and reporting systems to support enterprise analytics, automated batch workflows, and early ML initiatives improving data reliability and timeliness.

SQL ETL Hadoop Hive Data Modeling Reporting Batch Processing Data Pipelines

Education

Degrees, certifications, and relevant coursework

Punjab University College of Information Technology

Bachelor of Science, Computer Science

2010 - 2014

Completed a Bachelor of Science in Computer Science with coursework in algorithms, systems, and software engineering from September 2010 to July 2014.