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Chaudhry Faisal

@chaudhryfaisal

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Senior AI & ML engineer specializing in GenAI, RAG, LLM systems, MLOps, and cloud-native architectures.

Canada

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What I'm looking for

I seek roles building production GenAI/ML platforms with strong MLOps and cloud infrastructure, collaborative teams, technical leadership, and opportunities to scale impactful AI products.

I am a Senior AI & ML Engineer with 8+ years building production-grade ML and GenAI platforms, specializing in RAG, multi-agent LLM systems, scalable model serving, and MLOps across AWS, GCP, and Azure. I design cloud-native infrastructure, implement model monitoring and drift detection, and drive governance, explainability, and compliance to deliver reliable, secure AI solutions.

Throughout my career I led architecture and delivery of enterprise AI platforms, built end-to-end ML pipelines, and mentored cross-functional engineering teams. I have a track record of improving deployment repeatability with Terraform/CloudFormation, optimizing inference and data pipelines with Spark and Airflow, and increasing business impact through recommender systems, forecasting, and NLP solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior AI & ML Engineer

Current

Eagis, Inc.

Nov 2023 - Present (2 years 3 months)

Led architecture and delivery of enterprise-grade AI platforms integrating LLMs and classical ML, deployed RAG pipelines and multi-agent systems, and improved production reliability via monitoring and drift detection for services handling millions of monthly requests.

RAG LLM Kubernetes Terraform MLFlow Faiss Vector Databases Model Monitoring

Machine Learning Engineer

Symend

Apr 2020 - Oct 2023 (3 years 6 months)

Developed and productionized supervised and unsupervised ML models for forecasting, recommendations, and NLP, built end-to-end pipelines with Airflow and Spark, and reduced inference latency while improving recommendation relevance and forecasting accuracy.

PyTorch TensorFlow Spark Airflow MLFlow Docker Kubernetes XGBoost NLP

Data Engineer

Cadeon Inc.

Sep 2018 - Mar 2020 (1 year 6 months)

Designed and maintained scalable ETL/ELT pipelines and real-time streaming using Spark and Kafka, built warehousing on Snowflake/Redshift, and implemented data quality frameworks to support terabyte-scale analytics and ML feature pipelines.