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Rizwan Raza

@rizwanraza1

Lead AI/ML Engineer at Verizon building enterprise GenAI SaaS, RAG pipelines, and multi-agent workflows.

At Verizon, I architected and developed a multi-tenant enterprise Generative AI SaaS platform and deployed advanced, hybrid, and agentic RAG pipelines. I also built multi-agent workflows and improved average response latency by 20–30%.

Previously, I developed and productionized machine learning solutions at ArgonTeq, improving model performance by 10–15% over baseline. Earlier, at OPEN PROFESSIONAL GROUP, I developed backend services and AI/ML applications for FinTech and Healthcare technology platforms.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Verizon

Oct 2023 - Present (3 years 1 month)

Architected and developed a multi-tenant enterprise Generative AI SaaS platform, designed advanced RAG pipelines, and built multi-agent workflows. Optimized LLM inference and led AI system architecture while mentoring engineers.

Python Django fastAPI Lang Chain LangGraph Pinecone Faiss Milvus RAG Agentic AI LLM Evaluation MLOps AWS Docker Kubernetes GitHub Actions PostgreSQL Redis

Machine Learning Engineer

ArgonTeq

Feb 2020 - Sep 2023 (3 years 7 months)

Developed and productionized machine learning and deep learning solutions, built end-to-end ML pipelines, and improved model performance by 10-15%. Implemented MLOps practices reducing manual processing time by 20-30%.

Python PyTorch TensorFlow scikit learn XGBoost LightGBM Pandas NumPy PySpark Apache Spark ETL MLOps Docker CI CD REST APIs

Software Engineer | AI/ML Applications

Open Professional Group

Mar 2018 - Jan 2020 (1 year 10 months)

Developed scalable backend services and enterprise applications for FinTech and Healthcare technology platforms. Built REST APIs, database schemas, and microservice components for reliable multi-user workloads.

Python SQL REST APIs Database Design Microservices Agile Development Git Cloud Services