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Mohd Sameer

@mohdsameer1

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Seasoned Machine Learning Engineer with expertise in scalable AI solutions.

United States

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my skills in machine learning and data engineering to drive impactful solutions.

I am a seasoned Machine Learning Engineer with over 10 years of experience in data engineering and machine learning. My journey has been marked by a deep understanding of designing and delivering scalable, high-performance AI-driven solutions. I have successfully led cross-functional teams and managed complex projects, ensuring that both business and technological objectives are met.

Throughout my career, I have demonstrated a proven ability to prototype and deliver end-to-end machine learning projects. My expertise includes managing machine learning workflows using advanced tools like Airflow and MLFlow, ensuring seamless integration of data pipelines and efficient execution of experiments. I am adept at conceptualizing solutions from ideation to deployment, including model development, optimization, and maintenance, which has allowed me to drive significant improvements in operational efficiency and model performance.

My technical skills span a wide range of tools and platforms, including AWS, Azure, and Google Cloud, where I have implemented MLOps pipelines and automated workflows to enhance model lifecycle management. I am passionate about leveraging my analytical and engineering skills to build robust data and ML pipelines, ensuring high availability and scalability of machine learning models.

Experience

Work history, roles, and key accomplishments

Current

Sr. MLOps Engineer/Data Scientist

Current

RBC Bank

Feb 2024 - Present (1 year 5 months)

Spearheaded the design and implementation of a highly scalable, production-grade AI/ML platform on AWS, enabling efficient model lifecycle management and fostering cross-functional collaboration. Integrated MLOps best practices to automate and streamline model deployment, monitoring, and model retraining for continuous optimization. Built and automated end-to-end MLOps pipelines using tools like A

AWS Terraform Airflow Git Python TensorFlow PyTorch Pandas NumPy Kubernetes Docker Rust Flask REST APIs Titan Embeddings Mistral AI Slack AWS CodePipeline XGBoost LightGBM

Cloud Data Engineer

Cap Gemini

May 2022 - Present (3 years 2 months)

Deployed an intelligent chatbot to handle customer inquiries and provide support 24/7. Ingested and preprocessed customer interaction data into Azure ML, then trained and fine-tuned NLP models for natural language understanding, question answering, and sentiment analysis. Designed and implemented MLOps pipelines leveraging Azure Machine Learning, Azure DevOps, and Azure Kubernetes Service to autom

Azure Machine Learning NLP Python Jupyter Notebooks Kubernetes Azure Kubernetes Grafana Azure DevOps Azure Kubernetes Service Azure Pipelines Azure Data Factory Snowflake Power BI Azure SQL scikit learn Logistic Regression Gradient Boosting

MLOps Data Engineer

Cognizant Technology Solutions

Apr 2019 - Present (6 years 3 months)

Transformed an existing, outdated ML platform into a robust, scalable MLOps environment leveraging Oracle Cloud Infrastructure (OCI) services. Created customized applications for classification, automated reasoning, and optimization algorithms. Developed and trained ML models to identify patterns indicative of equipment degradation, integrating models with real-time monitoring systems to trigger a

Oracle Cloud MLOps Pytest Git Monitoring Edge Computing

ML Engineer

Wipro PVT LTD

Jul 2016 - Present (9 years)

Researched and implemented state-of-the-art NLP techniques, such as deep learning models and transfer learning, to enhance Alexa's conversational understanding. Deployed and managed machine learning models developed in PyTorch and scikit-learn into scalable production environments, leveraging containerization and orchestration tools such as Docker and Kubernetes. Designed and implemented collabora

NLP Deep Learning PyTorch scikit learn Docker Kubernetes Collaborative Filtering Content Based Filtering TF IDF

Jr ML Engineer

INNOVISTORS TECHNOLOGICAL SOLUTIONS PVT LTD

Nov 2013 - Present (11 years 8 months)

Designed and implemented data pipelines to extract data from various sources using tools like Apache Oozie and custom scripts. Transformed raw data into a suitable format for model consumption, including cleaning, preprocessing, and feature engineering. Developed various machine learning algorithms using Python libraries, enhancing data analytics capabilities.

Data Pipelines Oozie Python Pandas NumPy Matplotlib NLTK Agile Scrum

Education

Degrees, certifications, and relevant coursework

Oklahoma City University

Masters in Computer Sciences, Computer Sciences

Completed a Master's degree in Computer Sciences, focusing on advanced topics relevant to the field. Gained in-depth knowledge and practical skills in various computer science domains.

JNTU, Hyderabad

Bachelor of Computer Science Engineering, Computer Science Engineering

Obtained a Bachelor's degree in Computer Science Engineering. Developed foundational knowledge in computer science principles and engineering practices.