Rishi Meel

Consultant

Pune, Maharashtra, India5 yrs 8 mos experience

Highly Stable

Key Highlights

Expert in building scalable MLOps pipelines.
Proficient in Azure ML and CI/CD automation.
Strong background in machine learning model lifecycle management.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS solutions and MLOps practices.

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Skills

Core Skills

MlopsMicrosoft Azure Machine LearningMachine LearningAzure Data LakeAzure Machine Learning

Other Skills

Azure MLKubernetesCI/CDTerraformMachine Learning AlgorithmsXG BoostGitHub ActionsPySparkAzure DatabricksDatabricksPython (Programming Language)Continuous Integration and Continuous Delivery (CI/CD)Azure monitorAzure FunctionsData Structures

About

I am an IIT Delhi graduate with B.Tech. major in Electrical Engineering, recent Google Gen AI certified( September 2025). I have experience as Data and Machine Learning Engineer, in these roles I have worked across solving various business problems using ML/MLOps principles. I have designed data pipelines, built, deployed and monitored scalable ML models using tools like Python, SQL, Azure ML, CI/CD pipelines. I have extracted and transformed data from various sources—including SAP—to be fed upstream for useful insights, with modern ETL workflows. I have also deployed ML models using Docker and Kubernetes while following MLOps best practices. I value teamwork, continuous learning, and delivering value through problem solving.

Experience

5 yrs 8 mos

Total Experience

3 yrs

Average Tenure

2 yrs 7 mos

Current Experience

Hcltech

2 roles

Consultant

Dec 2024 – Present · 1 yr 5 mos · Pune, Maharashtra, India

Built and deployed an end-to-end MLOps pipeline for predictive maintenance, using ML flow for tracking and Azure registry for registering models. We used Azure ML and Kubernetes for scalable deployments with automated CI/CD using Azure DevOps.
Contributed to end-to-end solution of forecasting lead time, leveraging Azure ML, and Azure DevOps. We managed infrastructure with Terraform, and containerized the models in Docker, which later deployed on ACI/AKS ensuring scalability.

Microsoft Azure Machine LearningMLOps

Consultant

Sep 2023 – Nov 2024 · 1 yr 2 mos · Pune, Maharashtra, India

Helped in building and deploying Azure-based churn prediction models. We used XG Boost model, due to tabular data and non-linear modelling requirements.
Contributed in retail sales forecasting and dynamic pricing models using data from multiple sources.
Provided key insights into dealer performance by applying clustering algorithms (K-means, DBSCAN), which helped in setting up benchmarks and led to better dealer understanding.
Deployed Azure ML workspaces and other infrastructures using IaC (Terraform), and automated model training and deployment using CI/CD pipelines in GitHub Actions.
Developed training, scoring, and configuration scripts in VS Code and pushed to GitHub to ensure version control and reproducibility.

Azure Data LakeMachine Learning AlgorithmsMachine Learning

Slb

3 roles

Machine Learning Engineer

Promoted

Aug 2021 – Aug 2023 · 2 yrs · Pune, Maharashtra, India

Supported the full lifecycle of machine learning models—from development to monitoring—by leveraging the Azure Machine Learning platform.
Streamlined the process of deploying machine learning models by integrating CI/CD pipelines. This automation ensured that models were trained, validated, and deployed reliably to both quality and production environments.
Designed and implemented ETL workflows using Databricks notebooks to preprocess and transform large-scale datasets.
Contributed to the creation and adherence of ML engineering best practices documentation.

PySparkAzure DatabricksMachine LearningAzure Machine Learning

Technical Hana/Data Analyst

Apr 2021 – Jul 2021 · 3 mos · Pune, Maharashtra, India

Developed calculation views with complex joins, filters, and data transformations to meet dynamic reporting requirements.
Assisted in extracting and integrating data from multiple SAP HANA tables to develop Power BI paginated report, significantly improving data accessibility and reporting clarity.
Optimized model performance by refactoring a large and complex HANA view into modular, lightweight models, leading to faster query execution and simplified maintenance.

Technical Business Analyst

Mar 2020 – Apr 2021 · 1 yr 1 mo · Pune, Maharashtra, India

Collaborated across MM (Materials Management), and SCM (Supply Chain Management) SAP modules to deliver integrated business solutions.
Performed routine monitoring and troubleshooting of SAP PI/PO interfaces to ensure seamless data exchange across systems.
Extracted and joined data from multiple SAP tables using optimized SQL joins to maintain data accuracy and enhance performance.
Conducted a knowledge-sharing session on Smart Form object, covering windows, function modules, tables, and templates.