Lokesh Murugan Muthusamy Chandran

1. AI Copilot for Incident Management:

• Data Pipeline Development: Engineered robust data pipeline for Incident Management CoPilot, handling real-time and scheduled data.
• Utilized Python FASTAPI for DAO interface, ensuring efficient data ingestion to Google Bigtable.
• Conducted thorough analysis of various data sources, use cases, and costs, leading to selection of Google Bigtable as data store.
• Architected and Implemented Custom Scheduler: Created a custom scheduler using Node.js and Python to efficiently manage and automate data ingestion and processing tasks within Incident management pipeline.
• Integrated Multiple Data Sources and utilized Bigtable: Designed and implemented data integration processes to consolidate knowledge from diverse sources including ServiceNow, Slack conversations, Teams transcripts and a postmortem tool into Bigtable, central knowledge base for Incident CoPilot.
• Incident Management Chat API Development: Designed and implemented Chat APIs using Python FastAPI. Leveraged GPT-3.5 as large language model (LLM) for natural language understanding and generation. Managed embeddings using Huggingface models to enhance conversational context and relevance. Integrated LangChain for advanced linguistic features, further improving quality of responses.
• Metrics and Feedback Framework: Designed and implemented a robust metrics system to evaluate performance of Incident Management Copilot framework. Utilized data-driven insights to enhance incident response efficiency and user satisfaction.

2. Asset Management Platformization.

• Led efforts to transform Asset Management tool into enterprise-grade platform.
• Orchestrated migration from single machine setup to enterprise distributed environment.
• Successfully migrated huge set of APIs from Django to Java Spring Boot for improved scalability and performance.
• Consolidated APIs and reports, streamlining functionality and reducing redundancy. Deprecated legacy APIs, ensuring more efficient and maintainable system.
• Team Leadership: Successfully led and managed a team of three professionals during platformization of Asset Management tool. Coordinated efforts, ensured effective communication, and achieved project milestones.

1. Team Management Solution (Agile Development):

• Developed comprehensive Team Management solution for Agile Development across PayPal using API and report-based solution.
• Integrated seamlessly with JIRA and Clarizen, streamlining collaboration.
• Contributed to building robust, scalable backend services using Python Django Framework. Improved API performance using caching for distributed environment.
• Collaborated with clients to define solution requirements and iteratively improve product.

2. Geo China setup for Asset Management Platform:

• Successfully established project from scratch in new geographical location (Geo China).
• Orchestrated instance creation, including infrastructure setup and configuration.
• Set up new database environment tailored to specific requirements of Geo China region.
• Linked data seamlessly from other environments to Geo China setup.
• Facilitated cross-client connections and integrated various data sources.

Led team of six members and including 2 contract workers during absence of regular leadership.

• Acted as Scrum Master, ensuring efficient project management and adherence to Agile practices.
• Engaged in product and requirement discussions with clients, gathering valuable insights.
• Designed comprehensive plan for platformizing asset management tool. Created detailed roadmap and secured approval for project from senior leadership.

1. Dispute API integration with PEGA:

• Spearheaded integration of dispute case management APIs into PEGA systems.
• Worked on suite of APIs including Provide Evidence, Seller and Buyer Conversation, Case Escalation, and Adjudication.
• Ensured seamless API functionality for handling various types of disputes.

Exception Handling Framework:

• Developed common exception handling framework for client applications.
• Enabled standardized management of specific exception cases, enhancing system robustness and reliability.

API Tracking and Monitoring:

• Implemented API tracking for all Dispute APIs, logging requests and error responses.
• Ensured confidentiality by masking sensitive data in logs.
• Developed monitoring dashboards for real-time analytics and system health checks.