I'm Sai Teja Mothukuri, an AI/ML Engineer with 3+ years of experience designing and deploying machine learning, deep learning, multimodal AI, and transformer-based systems across cloud and edge environments. I'm experienced in recommendation systems, NLP, computer vision, reinforcement learning, and Generative AI applications, including RAG pipelines, LLM fine-tuning, and scalable ML platforms. I specialize in building end-to-end ML solutions from data engineering and experimentation to deployment, MLOps, and production inference.

Sai Teja Mothukuri

I'm Sai Teja Mothukuri, an AI/ML Engineer with 3+ years of experience designing and deploying machine learning, deep learning, multimodal AI, and transformer-based systems across cloud and edge environments. I'm experienced in recommendation systems, NLP, computer vision, reinforcement learning, and Generative AI applications, including RAG pipelines, LLM fine-tuning, and scalable ML platforms. I specialize in building end-to-end ML solutions from data engineering and experimentation to deployment, MLOps, and production inference.

Available to hire

I’m Sai Teja Mothukuri, an AI/ML Engineer with 3+ years of experience designing and deploying machine learning, deep learning, multimodal AI, and transformer-based systems across cloud and edge environments.

I’m experienced in recommendation systems, NLP, computer vision, reinforcement learning, and Generative AI applications, including RAG pipelines, LLM fine-tuning, and scalable ML platforms. I specialize in building end-to-end ML solutions from data engineering and experimentation to deployment, MLOps, and production inference.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

AI/ML Engineer at Honeywell
August 1, 2025 - Present
Engineered multi-modal deep learning models integrating voice, image, and barcode data to enable edge inference with sub-200ms latency and 98% accuracy for object and speech recognition tasks across distribution centers. Optimized on-device pipelines, reducing memory footprint by 35% and enabling real-time processing of 5,000+ inputs/day.
Machine Learning Scientist at Accenture
September 1, 2021 - December 31, 2023
Designed high-throughput advertising recommendation engines using Python and PySpark, built real-time ingestion pipelines with Kafka, and deployed graph-based recommender models (GNNs). Improved CTR and revenue across campaigns while delivering analytics dashboards and data assistants for faster campaign insights.

Education

Masters in Computer Science at University of Central Missouri
January 11, 2030 - July 6, 2026
Masters in Computer Science at University of Central Missouri
January 11, 2030 - July 6, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Manufacturing, Media & Entertainment, Transportation & Logistics, Retail