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Hi, I’m MOWZLISRE MOHANDASS, an AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning and Generative AI systems in production environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI workflows, and I’ve designed end-to-end ML pipelines and implemented LLMOps to deliver measurable impact. I’ve helped across AWS, Azure, and GCP to deliver production-grade AI solutions, driving improvements in model accuracy and deployment speed, and I’m passionate about turning data into practical business outcomes.…Hi, I’m MOWZLISRE MOHANDASS, an AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning and Generative AI systems in production environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI workflows, and I’ve designed end-to-end ML pipelines and implemented LLMOps to deliver measurable impact. I’ve helped across AWS, Azure, and GCP to deliver production-grade AI solutions, driving improvements in model accuracy and deployment speed, and I’m passionate about turning data into practical business outcomes.

MOWZLISRE MOHANDASS

AI Engineer, Data Scientist, Data Analyst, +2

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Hi, I’m MOWZLISRE MOHANDASS, an AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning and Generative AI systems in production environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI workflows, and I’ve designed end-to-end ML pipelines and implemented LLMOps to deliver measurable impact. I’ve helped across AWS, Azure, and GCP to deliver production-grade AI solutions, driving improvements in model accuracy and deployment speed, and I’m passionate about turning data into practical business outcomes.…Hi, I’m MOWZLISRE MOHANDASS, an AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning and Generative AI systems in production environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI workflows, and I’ve designed end-to-end ML pipelines and implemented LLMOps to deliver measurable impact. I’ve helped across AWS, Azure, and GCP to deliver production-grade AI solutions, driving improvements in model accuracy and deployment speed, and I’m passionate about turning data into practical business outcomes.

Available to hire

Hi, I’m MOWZLISRE MOHANDASS, an AI/ML Engineer with 4+ years of experience building and deploying scalable machine learning and Generative AI systems in production environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI workflows, and I’ve designed end-to-end ML pipelines and implemented LLMOps to deliver measurable impact.

I’ve helped across AWS, Azure, and GCP to deliver production-grade AI solutions, driving improvements in model accuracy and deployment speed, and I’m passionate about turning data into practical business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Snowflake

July 1, 2025 - Present

Designed and deployed scalable ML pipelines using Python and SQL with Snowflake; built RAG-based LLM applications with LangChain and vector databases; developed predictive and deep learning models; implemented agentic AI workflows with tool-calling; deployed production-grade AI systems on AWS with CI/CD; established LLMOps practices including monitoring, drift detection, and automated retraining; built REST APIs with FastAPI and optimized inference pipelines to reduce latency.

AI/ML Engineer at NVIDIA

June 1, 2021 - July 1, 2023

Developed and optimized ML/DL models for NLP and computer vision; designed large-scale data pipelines and feature engineering; containerized and deployed models with Docker and Kubernetes; implemented evaluation, monitoring, and drift reduction; collaborated with cross-functional teams to deliver production-grade AI solutions.

Data Scientist at Infosys

August 1, 2020 - June 1, 2021

Developed ML models for business analytics; performed data preprocessing, feature engineering, and EDA on large datasets; built SQL-based data pipelines and optimized queries; conducted exploratory data analysis to identify trends; delivered dashboards and insights reducing reporting time and increasing operational efficiency.