AI/ML Engineer with 2+ years building and deploying production machine learning and Generative AI systems, specializing in GenAI, NLP, and MLOps automation. Experienced in taking solutions from prototype to production in agile environments, including retrieval-augmented search and enterprise document/RAG systems. Strong background in building scalable ETL pipelines, LLM evaluation, and automated model deployment using MLflow, Docker, FastAPI, and AWS SageMaker. Focused on reliability through monitoring, drift detection, and automated retraining workflows across multiple enterprise ML pipelines.

Shivesh Saravanan

AI/ML Engineer with 2+ years building and deploying production machine learning and Generative AI systems, specializing in GenAI, NLP, and MLOps automation. Experienced in taking solutions from prototype to production in agile environments, including retrieval-augmented search and enterprise document/RAG systems. Strong background in building scalable ETL pipelines, LLM evaluation, and automated model deployment using MLflow, Docker, FastAPI, and AWS SageMaker. Focused on reliability through monitoring, drift detection, and automated retraining workflows across multiple enterprise ML pipelines.

Available to hire

AI/ML Engineer with 2+ years building and deploying production machine learning and Generative AI systems, specializing in GenAI, NLP, and MLOps automation. Experienced in taking solutions from prototype to production in agile environments, including retrieval-augmented search and enterprise document/RAG systems.

Strong background in building scalable ETL pipelines, LLM evaluation, and automated model deployment using MLflow, Docker, FastAPI, and AWS SageMaker. Focused on reliability through monitoring, drift detection, and automated retraining workflows across multiple enterprise ML pipelines.

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Experience Level

Expert
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Expert
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Intermediate
Intermediate
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Language

Work Experience

Associate AI/ML Engineer at Dell Technologies
July 1, 2022 - August 1, 2024
Engineered ML pipelines in Python, Scikit-learn, Pandas, NumPy, and SQL to preprocess telemetry data and train predictive maintenance models across 320K+ equipment records, improving recall by 9%. Developed GenAI applications using LangChain, OpenAI API, prompt engineering, and RAG (FAISS, chunking) to enable contextual retrieval across 20K+ technical documents, reducing manual search effort by 30%. Built scalable ETL using Apache Spark, Airflow, SQL, and Snowflake with data quality validation to support 18 AI/analytics initiatives. Enhanced an internal GenAI evaluation platform to automate compliance, security, and cost assessments using LLMs/NLP, reducing manual review effort by 25% across 150+ submissions. Automated MLOps workflows using MLflow, FastAPI, Docker, AWS SageMaker, S3, and CI/CD (GitHub Actions), reducing deployment cycles from 2–3 days to under 4 hours. Implemented monitoring, drift detection, and automated retraining workflows (Kubeflow/MLflow) for 14 enterprise ML p

Education

M.S. in Computer Science at The University of Texas at Arlington
August 1, 2024 - May 1, 2026
B.Tech. in Computer Science and Engineering at Amrita Vishwa Vidyapeetham
September 1, 2020 - July 1, 2024
M.S. in Computer Science at The University of Texas at Arlington
August 1, 2024 - May 1, 2026
B.Tech. in Computer Science and Engineering at Amrita Vishwa Vidyapeetham
September 1, 2020 - July 1, 2024

Qualifications

Oracle Cloud Infrastructure Data Foundations Associate
January 11, 2030 - August 5, 2026
Introduction to Big Data with Spark and Hadoop
January 11, 2030 - August 5, 2026
Oracle Cloud Infrastructure Data Foundations Associate
January 11, 2030 - August 5, 2026
Introduction to Big Data with Spark and Hadoop
January 11, 2030 - August 5, 2026

Industry Experience

Computers & Electronics, Software & Internet, Professional Services, Manufacturing