Somsubhra Jana

ML Ops Role . Developed and deployed high-performance data pipelines using Kubernetes pods, leveraging Databricks for data preprocessing and feeding data into machine learning model training pipelines. Developed bash scripts for pod monitoring , A Django website which retrieves data from Redis to trigger databricks jobs from the frontend for users. Collaborated with cross-functional teams to enhance pipeline efficiency by 25%. Handle Compute set up along with model maintenance and model deployment using CI CD. Remediated security violations across applications using Python versions 3.6–3.10 with remediation of OWASP . Conducted regular vulnerability assessments using OWASP Top 10 as a framework, reducing security risks by 50% over applications. Managing machine learning requests across multiple regions (US, EU, LATAM) by orchestrating over 100 pipelines to ensure seamless and efficient processing. Developed an end-to-end ML tool with an Angular frontend and Python backend, enabling users to trigger and monitor backend ML pipelines, persist data efficiently, and automate job execution through middleware integration. Leading Agentic AI work on Mlops automation on Azure Foundry. Built Retrieval-Augmented Generation (RAG) pipelines for knowledge base article generation from ServiceNow tickets, enabling automated content creation and improved knowledge management. Developed projects on Foundry for creating intelligent agents and integrated LLMs for interactive workflows, demonstrating ability to design and deploy advanced AI-driven solutions. Worked with vector databases like Pinecone for efficient storage and retrieval of embeddings in AI-driven applications.

CNA Role : ML Ops Technologies : Java,Python, GCP Vertex AI,Bigquery, GKE , Drools . Development and maintenance of ml pipelines involving GCP Vertex AI for text classification in the healthcare industry to adjucate claims based on their priorities. ML pipeline operations and model deployment to model training activities performed. Performed security violation remediation for multiple applications with Python 3.10/3.8/3.6 version. Coles Super Market Role : Python Automation Lead Monday.com to Salesforce Data Migration and Reporting Test Lead. Virgin Australia Airlines Role : Senior Automation Engineer Our team focusses on the Flight Booking System for VA Airlines (web-application) based on Rest Framework UK HSA October 2022-April 2023 Role- Cloud Automation Team Lead Data Products is a team which focusses on creating ETL pipelines to store data and create data catalogue in AWS by leveraging Aws Glue,Lambda,SNS and other Aws services and third parties to retrieve information.

Novartis March 2022- October 2022: data42 is Novartis’ transformational R&D program to leverage 2 million patient-years of data in one of the largest and most diverse datasets in the pharma industry, with the ultimate moonshot goal to change the way we develop medicines. Platform - Palantir Foundry

Nissan 2019-2022: Connect with Business partners to work through the entire process of Software Development life Cycle,including analysis and design,business and functional requirement analysis,data analysis,development,testing of application Interchanged between IT and business contacts to manage project life cycle and ensured the team achieved 90% of deadlines by communicating realistic expectations Alstom: 2019-2020 Analyze business requirements and provide end to end support for solution design Develop new business opportunities and interface with the product management,professional services .Understanding the business procedures to eliminate the manual complexities involved Involved in requirement elicitation and product development.

Analyze business requirements and provide end to end support for solution design Improved efficiency via customization,process set up,development and implementation of produc.t Collaborated with project managers to select ambitious, but realistic coding milestones on pre-release software project development. Trained and managed team of developers and discussed issues in order to provide resolution and apply best practices. Coordinated with project management staff on database development timelines and project scope.

Associated with college sports for a year but mostly concentrated on building my skills on free time.