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I am an AI/ML Engineer with 3+ years of experience building machine learning, deep learning, and Generative AI systems. I work with Python, TensorFlow, PyTorch, and Scikit-learn, and I specialize in embedding pipelines, Retrieval-Augmented Generation, and LLM-powered applications using OpenAI API, LangChain, and vector search techniques. I design end-to-end data pipelines, ETL processes, model evaluation, and production deployment using MLflow, Docker, and AWS, enabling scalable inference workflows. I have shipped GenAI solutions across enterprise document stores and enabled real-time inference using Kafka and SageMaker.…I am an AI/ML Engineer with 3+ years of experience building machine learning, deep learning, and Generative AI systems. I work with Python, TensorFlow, PyTorch, and Scikit-learn, and I specialize in embedding pipelines, Retrieval-Augmented Generation, and LLM-powered applications using OpenAI API, LangChain, and vector search techniques. I design end-to-end data pipelines, ETL processes, model evaluation, and production deployment using MLflow, Docker, and AWS, enabling scalable inference workflows. I have shipped GenAI solutions across enterprise document stores and enabled real-time inference using Kafka and SageMaker.

Ahmed Nawaz Shaik

AI Engineer, Data Scientist, AI Developer, +2

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I am an AI/ML Engineer with 3+ years of experience building machine learning, deep learning, and Generative AI systems. I work with Python, TensorFlow, PyTorch, and Scikit-learn, and I specialize in embedding pipelines, Retrieval-Augmented Generation, and LLM-powered applications using OpenAI API, LangChain, and vector search techniques. I design end-to-end data pipelines, ETL processes, model evaluation, and production deployment using MLflow, Docker, and AWS, enabling scalable inference workflows. I have shipped GenAI solutions across enterprise document stores and enabled real-time inference using Kafka and SageMaker.…I am an AI/ML Engineer with 3+ years of experience building machine learning, deep learning, and Generative AI systems. I work with Python, TensorFlow, PyTorch, and Scikit-learn, and I specialize in embedding pipelines, Retrieval-Augmented Generation, and LLM-powered applications using OpenAI API, LangChain, and vector search techniques. I design end-to-end data pipelines, ETL processes, model evaluation, and production deployment using MLflow, Docker, and AWS, enabling scalable inference workflows. I have shipped GenAI solutions across enterprise document stores and enabled real-time inference using Kafka and SageMaker.

Available to hire

I am an AI/ML Engineer with 3+ years of experience building machine learning, deep learning, and Generative AI systems. I work with Python, TensorFlow, PyTorch, and Scikit-learn, and I specialize in embedding pipelines, Retrieval-Augmented Generation, and LLM-powered applications using OpenAI API, LangChain, and vector search techniques.

I design end-to-end data pipelines, ETL processes, model evaluation, and production deployment using MLflow, Docker, and AWS, enabling scalable inference workflows. I have shipped GenAI solutions across enterprise document stores and enabled real-time inference using Kafka and SageMaker.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Dell Technologies

August 1, 2025 - Present

Designed end-to-end pipelines using Python, FastAPI, and ETL pipelines with AWS S3, processing 200K+ records for data ingestion in ML workflows. Engineered data preprocessing with Pandas and NumPy; performed EDA and feature engineering, reducing manual preparation time by 8–10 hours weekly. Trained and optimized models with Scikit-learn and XGBoost; built and evaluated models to improve inference performance for real-time prediction services. Built GenAI solutions using LLMs, Retrieval-Augmented Generation, OpenAI API, embeddings, and LangChain to enable semantic retrieval across 10K+ enterprise documents. Deployed production-grade models with MLflow, Docker, and CI/CD, and API deployment and monitoring. Enabled real-time ML systems using Apache Kafka and AWS SageMaker for batch and streaming inference.

Software Engineer at KPMG

June 1, 2020 - July 1, 2023

Built predictive models using Python and scikit-learn across 4 client datasets, enabling data-driven insights for client reporting and operational analysis with basic hyperparameter tuning. Designed ETL pipelines using Python and SQL across 3–5 source systems to improve data availability for downstream ML workflows. Performed feature engineering and data preprocessing with Pandas and NumPy to improve model input quality and stability. Automated recurring data processing and validation workflows, reducing manual effort by 12–15 hours per week. Designed model evaluation workflows with cross-validation and performance tracking; queried and managed MySQL and PostgreSQL datasets across 3+ client projects; collaborated with stakeholders to integrate model outputs into reporting systems.