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AI/ML Engineer and Data Scientist with 8+ years of experience designing, deploying, and optimizing production-grade AI/ML and LLM systems. Skilled in RAG pipelines, embeddings, vector search, predictive modeling, real-time analytics, and MLOps practices. Experienced across healthcare, fintech, SaaS, and enterprise environments, delivering measurable impact through fraud detection, customer engagement, and operational optimization. Proficient in Python, PyTorch, TensorFlow, SQL, Spark, Snowflake, Airflow, Dagster, MLflow, and cloud platforms (AWS, Azure, GCP). Passionate about building scalable, reliable, and automated AI systems that translate data into actionable insights and business value.…AI/ML Engineer and Data Scientist with 8+ years of experience designing, deploying, and optimizing production-grade AI/ML and LLM systems. Skilled in RAG pipelines, embeddings, vector search, predictive modeling, real-time analytics, and MLOps practices. Experienced across healthcare, fintech, SaaS, and enterprise environments, delivering measurable impact through fraud detection, customer engagement, and operational optimization. Proficient in Python, PyTorch, TensorFlow, SQL, Spark, Snowflake, Airflow, Dagster, MLflow, and cloud platforms (AWS, Azure, GCP). Passionate about building scalable, reliable, and automated AI systems that translate data into actionable insights and business value.

Shean Iban

AI Engineer, Data Scientist, Full Stack Developer, +2

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AI/ML Engineer and Data Scientist with 8+ years of experience designing, deploying, and optimizing production-grade AI/ML and LLM systems. Skilled in RAG pipelines, embeddings, vector search, predictive modeling, real-time analytics, and MLOps practices. Experienced across healthcare, fintech, SaaS, and enterprise environments, delivering measurable impact through fraud detection, customer engagement, and operational optimization. Proficient in Python, PyTorch, TensorFlow, SQL, Spark, Snowflake, Airflow, Dagster, MLflow, and cloud platforms (AWS, Azure, GCP). Passionate about building scalable, reliable, and automated AI systems that translate data into actionable insights and business value.…AI/ML Engineer and Data Scientist with 8+ years of experience designing, deploying, and optimizing production-grade AI/ML and LLM systems. Skilled in RAG pipelines, embeddings, vector search, predictive modeling, real-time analytics, and MLOps practices. Experienced across healthcare, fintech, SaaS, and enterprise environments, delivering measurable impact through fraud detection, customer engagement, and operational optimization. Proficient in Python, PyTorch, TensorFlow, SQL, Spark, Snowflake, Airflow, Dagster, MLflow, and cloud platforms (AWS, Azure, GCP). Passionate about building scalable, reliable, and automated AI systems that translate data into actionable insights and business value.

Available to hire

AI/ML Engineer and Data Scientist with 8+ years of experience designing, deploying, and optimizing production-grade AI/ML and LLM systems. Skilled in RAG pipelines, embeddings, vector search, predictive modeling, real-time analytics, and MLOps practices. Experienced across healthcare, fintech, SaaS, and enterprise environments, delivering measurable impact through fraud detection, customer engagement, and operational optimization. Proficient in Python, PyTorch, TensorFlow, SQL, Spark, Snowflake, Airflow, Dagster, MLflow, and cloud platforms (AWS, Azure, GCP). Passionate about building scalable, reliable, and automated AI systems that translate data into actionable insights and business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Hexaware

January 1, 2020 - Present

Designed and deployed real-time fraud detection models, reducing fraudulent transactions by leveraging XGBoost, LightGBM, and PyTorch. Implemented end-to-end ML pipelines for model training, deployment, and real-time scoring; integrated with distributed data platforms and monitoring. Mentored junior engineers and data scientists; standardized end-to-end ML pipeline ownership. Developed AI agent workflows that integrate with Slack, CRM, and internal documentation to enable multi-step workflows.

ML Engineer at Osprey

March 1, 2017 - December 1, 2019

Designed and deployed predictive models for health care patient readmission using TensorFlow, PyTorch, and Python; improved accuracy by 17%. Built ETL and analytics pipelines with Spark and Airflow; integrated structured and unstructured health care data. Developed RAG pipelines and AI agents for internal workflows, leveraging embeddings and vector search for knowledge summarization. Conducted feature engineering, statistical analysis, and model validation; collaborated with clinical and engineering teams to ensure operational readiness.

Software Engineer at DigitalOcean

January 1, 2016 - February 1, 2017

Developed web-based applications and internal tools for early-stage product MVPs. Built data ingestion and ETL pipelines for operational datasets using Python and SQL. Implemented early analytics dashboards with Tableau and Python and collaborated with engineers to design scalable software architecture for production deployment.