Sep 2025 – Present · 9 mos

Apr 2021 – Aug 2025 · 4 yrs 4 mos

• Project: GroundX DAM
• ● Deployment of UAT and production Enviroments on the Backend and FrontEnd.
• ● Evaluating Serurity requirements and implementing them like WAF, Secure protocols, Encryption.
• ● Liaising with CISO office to comply with all security requirments defined.
• ● Liaising with Vairous teams both internal and external to design on API solutions for automatic live ingestion and consumption of the images and videos assets the the platform.
• ● Guiding and resloving day to day issues faced by the team on both the BE and the FE.
• ● Working with the client to quantify various requirements and designing solutions to implement the same in the platform. Designing and working out the solutions with developers on the team.
• ● Working with the client to handle day to day requests and issues faced by the platform users and working out solutions for them with the development team.
• ● Design and monitor various activities like backup, restore , optimization of the platform and services, Ingestion of data etc.
• ● Code reviews, design review with the developers.
• ● Managing the operation of nuxeo platform and ensure it is working as expected at all times. Helping the developer to debug the code and implement various requirements as sent by the client.
• ● Working on cost estimations, platform growth calculations etc. with the client.
• ● Designing a scalable architecture for converting the platform into a SAAS model.

May 2020 – Aug 2025 · 5 yrs 3 mos

• Project: OCI Cloud Solutions for various projects in Neom
• Working on design requirments for any new project deployment
• Work with OCI and neom networking teams on requirements like CIDR request, compartments , VPN tunnel , server creation , Domain mapping etc.
• Create the enviroment and hand it over to the devops.
• Develop scalable architecture with Load Balancers, Multi region replication, etc.
• Design an architecture to deploy Kubernetes clusters and applications.
• Develop elaborate monitoring tools integration with OCI like Grafana and ELK stack for all services.
• Successfully migrated Groundx and ENOWA Applications to OCI from the on-premise native cloud deployments (on Neom internal Data Centre)
• Worked with OCI service - Object Store, Autonomous Database,
• Implemented a robust Data Catalog service for publishing, consumption and running analytics on diverse datasets in the OCI cloud.
• . Implemented a detailed ETL pipeline for gathering structured and unstructured data (Camera Images and videos, Drones, GPS, Documents, Database connectors )from over 10+ diverse sources, processing and storing them in the Obejct store and RDMBS.
• . Architectured integration with 3 vendors for data ingestion, and various teams across NEOM for consumption of Data. This involved processing incoming data, transforming it for storage and analysis, and further consumption by various clients.

May 2020 – Apr 2021 · 11 mos

• Project: Smart City
• ● Designed Infrastructure requirements for the IoT framework and created a solution prototype for the application.
• ● Guiding and mentored a team of Devops engineers and resolved any complex issues encountered during provisioning of machines and application deployment.
• ● Sprint planning, tasks creation and estimation of various application and devops requirements.
• ● Designed and implemented security best practices for the applications and infrastructure.
• ● Evaluated various tools and databases to best fit the Neom use cases and finalized it.
• ● Guiding application developers on best practices and efficient code process.
• ● Guiding data scientists during development of machine learning pipelines.
• ● Analysed Application to take it from POC stage to production and formutaled set of tasks required.
• ● Designed monitoring , backup/restore policies ,identity management for various applications and infrastructure.

Mar 2019 – May 2020 · 1 yr 2 mos

• Project: ABB Data Analytics Pipeline
• ● Developed anomaly detection and predictive maintenance pipeline for ABB products deployed at client premises.
• ● Used MLflow to develop automated machine learning pipelines integrating a feedback loop for automated training.
• ● Published white paper titled “Need for Data Quality in Industrial Datasets ”
• ● Helped clients to analyze their datasets faster by developing spark data pipelines.

Apr 2015 – Mar 2019 · 3 yrs 11 mos

• Project: A web scale unstructured data analytics application
• This proprietary application consists of various big data technologies, It processes large volumes of unstructured data mined from the web and a variety of other sources. The system finally presents the processed information and insights to its users in an interactive interface.
• Brief:
• Implemented Apache Nutch 2.3 Framework for crawling Cancer specific forums.
• Implemented custom parsers using Jsoup library.
• Used HBase as a backend Data store for Nutch.
• Used Google Big Query Platform to make SQL like queries by exporting data from HBase.
• Analysed forum data using classification algorithms and text mining.
• Used Apache Hive for Data analysis over HBase.
• Used Apache Spark for twitter sentiment analysis.
• Lead a team of 5 developers.
• Responsibilities and contributions:
• Set up Complete end to end Web Crawling and scraping Infrastructure on Amazon Web Services.
• Crawled more than 50 websites.
• Developed an automated framework to gather twitter data and run sentiment analysis using spark.
• Developed various predictions using various algorithms like SVM, Logistic regression, Naive Bayes.
• Text Mining – string classification and building model for unstructured data.
• Wrote and deployed code for Data manipulation, Exploratory Analysis, treatment of outliers and missing values, Data cleaning, Data De-duplication etc.
• Wrote Feature Extraction using Gate Pipelines.
• Responsible for deploying Machine Learning models on Production Cluster having 3 AWS dedicated nodes and 10 AWS spot machines.