Mohammed Rijwan

Lead ML Engineer

Gurugram, Haryana, India7 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expert in MLOps and Data Engineering.
  • Developed scalable data pipelines for Fortune 500 clients.
  • Passionate tech trainer and content creator.
Stackforce AI infers this person is a Data Engineering and MLOps specialist in the Retail industry.

Contact

Skills

Core Skills

MlopsData EngineeringData ManagementAnalyticsSoftware Development

Other Skills

ATmega 16Agile MethodologiesApache SparkApache Spark StreamingApplication Programming InterfacesArduinoAzure Data FactoryAzure Data LakeAzure DatabricksAzure DevOps ServerBack-End Web DevelopmentBig DataBig Data AnalyticsCC (Programming Language)

About

Best at Googling!! MLOPs and Data Ops Practitioner, and love to code during weekends. Part-time Tech Trainer and YouTuber with the Channel Name "Think with Riz". Believing in gaining knowledge every day and always keen to share through any medium. Python, Machine Learning, Big data, Deep Learning, Artificial Intelligence. Public speaking and Making new friends is also a hobby. Btech: NIT Jalandhar- Electronics and Communication Engineering.

Experience

7 yrs 10 mos
Total Experience
3 yrs 5 mos
Average Tenure
11 mos
Current Experience

Dunnhumby

Senior Engineer(MLOps)

Jul 2025Present · 11 mos · Gurugram, Haryana, India · On-site

Tiger analytics

3 roles

Senior MLOPS Engineer

Jul 2024Jul 2025 · 1 yr · Hyderabad, Telangana, India · Remote

  • Developing and managing 100+ production grade model + data, monitoring like data + concept drift pipeline which is fail safe, easy to manage and give full visibility of each production status. The project is for a Fortune 500 retail client.
MLOpsData MonitoringConcept Drift PipelineProduction Grade Model ManagementData Engineering

MLOPS Engineer

Jul 2022Aug 2024 · 2 yrs 1 mo · Hyderabad, Telangana, India · Remote

  • Leading Mlops team and responsible for planning, analyzing use case requirements, developing, testing and deploying end-to-end data + ML pipeline in scale.
  • The project is driven by agile methodologies with a team size of 10.
  • We gather and process large amounts of retail customer data, and create end-to-end data robust data pipeline, Train, and orchestrate the ML pipeline on the scale with minimum cost involved in azure databricks cloud servers.
  • Creating data drift pipeline, model monitoring pipeline, and CI-CD for the entire project.
MLOpsData Pipeline DevelopmentAzure DatabricksAgile MethodologiesData Engineering

Senior Analyst

Jun 2021Jul 2022 · 1 yr 1 mo · Hyderabad, Telangana, India · Remote

  • Worked as an individual contributor and planned the end-to-end solution approach for deploying end-to-end ML model deployment in real-time in scale.
  • The project is about product ranking service which gives customer the recommended products in real time.
  • The model is packaged with ONNX artefact and deployed in Kubernetes after containerizing with docker and load balancing it vertically and horizontally to achieve 350 TPS with less than 150ms latency.
ML Model DeploymentKubernetesDockerReal-Time SolutionsMLOpsData Engineering

Jio

3 roles

Technical Team Lead (Data Services)

Promoted

Nov 2020Jun 2021 · 7 mos

  • SPOC for platform data solution in Ingestion framework i.e. ingesting to datalake from various sources (MySQL, SAPHANA, PostGres, MongoDB, Rest API) and distribution framework i.e. distribute data from datalake to various sources ( MongoDB, MySQL, Microsoft SQL, SAPHANA and Rest API). Developing and Managing the solution for different data request from various platform teams.
Data Ingestion FrameworkData Distribution FrameworkMySQLSAP HANAData EngineeringData Management

Data/Analytics Engineer

Aug 2019Jun 2021 · 1 yr 10 mos

  • Data Prep / Wrangling,Dashboards, Statistical Inference, Clustering, regression & classification Using Python.
  • Solving and giving quick Business solution in Agile methodology.
  • Python Restful API's for Data Engineering Framework using Flask.
  • Tools and Softwares : Airflow, Docker, GIT, CI-CD Pipeline
  • Framework: Flask, Spark
  • Python Libraries: Scikit-Learn, Keras, Numpy. Matplotlib
Data PreparationStatistical InferencePythonFlaskData EngineeringAnalytics

Graduate Engineering Trainee

Jul 2018Jul 2019 · 1 yr

  • GET-FullStack/DevOps/DataAnalytics.
  • Closely coordinated with various heads, vendors and other
  • stakeholders for collecting Business Requirements and Developing Business solutions for manufacturing IT, like analyzing the fauld in the transformers based on the key gases samples collected and plotting the results on the reporting tool developed on Javascript.
  • Developed Microservices for Automated integration of GitLab with Data Model Framework to upload Data on Repository, payload received either in JSON or in Multiple Query Files. - Using Python Flask Framework.
  • Deployed the API's on Kuberneted Cluster, build and deployed using Jenkins Pipelines and Docker.
  • Worked and Developed Machine learning and Deep learning Business use cases and Ideas like: Speech Processing, Data Mining, Analyze data for a pattern recognition like association rules for Understanding of pattern in shopping behavior of the customers.
Full Stack DevelopmentData AnalyticsMicroservicesPython FlaskSoftware DevelopmentData Engineering

Ritusha consultants pvt ltd

2 roles

Lead Trainer Intern

Jun 2017Jul 2017 · 1 mo

  • Lead Trainer Intern on Embedded and Robotics in Technology Atmega 16.

Campus Ambassador

Sep 2016May 2017 · 8 mos

  • Advertising the Mission and Vision of Training and Development company RCPL India in my Campus.

Education

Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)

B.Tech — ECE; Electronics and communication Engineering

Jan 2014Jan 2018

Kendriya Vidyalaya

12th

Jan 2012Jan 2013

Kendriya Vidyalaya

10th

Jan 2010Jan 2011

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