Thomas K John

• Designed a feature-rich RAG chatbot leveraging Databricks Mosaic AI, with multilingual support and image input handling to enhance user experience and precision in knowledge retrieval.

Client: Solute GMBH - A Germany-based technology company known for developing digital commerce solutions, including the popular price comparison platform billiger.de.

• Project 1. Traffic Partner Blacklisting Project

  • Spearheaded a data-driven initiative to enhance online shop performance by improving traffic quality and profitability.
  • Designed and implemented an analytics pipeline using Python and PySpark for large-scale traffic and profit analysis.
  • Defined performance-based blacklisting criteria, significantly improving return on ad spend (ROAS)
  • Ensured quality and transparency through peer reviews, Confluence documentation, and Jira-based workflow.

• Project 2. Reporting Tool Evaluation Project

  • Led a 3-month strategic initiative to evaluate the optimal reporting and BI tool for future cloud-based integration and analytics modernization.
  • Conducted an in-depth analysis of Looker, Power BI, and the existing on-premise cube-based reporting tool.
  • Evaluated tools based on criteria such as web-based development, version control, collaboration features, self-service capabilities for business users, and performance.
  • Collaborated with cross-functional teams to gather requirements and understand current and future reporting needs.
  • Developed and executed test cases to compare performance, usability, and integration capabilities of each tool.
  • Presented findings and recommendations to senior management, highlighting the pros and cons of each solution and aligning them with our strategic goals.

Client: Morgan Stanley (A US based global investment bank and financial services company)

• Led financial data analysis using Python, Hadoop, Hive, and SQL to generate accurate forecasts.
• Utilized Apache Spark for large-scale data processing, delivering timely and actionable insights.
• Designed and maintained data pipelines using Dataiku DSS for efficient data preparation and transformation.
• Migrated legacy data science workflows from SAS to Python, improving scalability and flexibility.
• Trained team members on Apache Spark and Dataiku DSS, fostering knowledge sharing and consistency.
• Applied agile methodologies using Jira to manage project timelines and cross-functional collaboration.
• Presented key analytical findings and financial forecasts via Tableau dashboards to business stakeholders.

• Project 1. Semiconductor Wafer Defect Signature Analysis

  • Developed a computer vision model to analyze semiconductor wafer images, accurately detecting defect patterns such as circles, lines, and blobs to assist in quality control.

• Project 2. AI-based approach for MRO Optimization and Similar Parts Detection

  • Designed an AI-based solution for MRO (Maintenance, Repair, and Operations) optimization, identifying and consolidating duplicate spare parts from an inventory of over one million items, significantly improving inventory efficiency and part approval workflows.

• Project 3. Monitoring failures in a Hadoop cluster through log analysis

  • Built a resource usage monitoring system for YARN-based applications and developed statistical analysis models using Apache Spark ML.

• Developed a network controller to enhance traffic monitoring and analysis efficiency.
• Implemented a rule-based classification algorithm to automatically prioritize ACL rules for traffic redirection.
• Improved monitoring service accuracy and responsiveness, receiving excellent feedback from customers.

Client: ADVA Optical Networking, Bangalore, India

• Developed an RPM-based ENC installer supporting fresh installations, high-availability (HA) setups, upgrades/downgrades, and patch management.
• Migrated build infrastructure from ANT to Maven.
• Automated CI/CD pipelines using Jenkins, streamlining build and deployment processes.
• Implemented key features including feature-based licensing, and auto-restoration of database replication.

• Worked on an application framework for developing hybrid mobile applications across platforms including Android, iOS, and Windows Phone.
• Contributed to cross-platform development efforts, ensuring code reusability and consistent UI/UX across devices.

Contributed to the development and support of a Network Management System (NMS) for configuring and managing telecom devices. Worked on backend modules using Java, Hibernate, and JMS, and gained experience in asynchronous messaging, SNMP-based communication, and enterprise system integration.

Client: Alcatel-Lucent (France-based telecom company)

Developed and maintained large-scale Java-based OSS applications for telecom service provisioning. Gained hands-on experience with system design, API integrations (SOAP/XML), and test-driven development in an enterprise environment.