● Collaborating with Agni Team, specializing in Incident Management in Jira Service Management, to deliver exceptional solutions.● Crafted and buillt scalable new infrastructure E2E to provide public APIs for Incident Management in JSM as part of new microservice. Further contributed to productionizing the service ensuring high network reliability and availability, along with optimal performance and minimal downtime.● Currently spearheading the end-to-end development of a new service to handle external stakeholder communication, encompassing design, implementation, and productionization ensuring seamless integration within the broader architecture.● Spearheading the FedRAMP Compliance initiative for approximately 20 microservices, ensuring adherence to rigorous security standards, to drive a substantial increase in revenue generation.● Used Java Spring Boot, DynamoDB, AWS, SNS, SQS, Docker

● Developed REST APIs to facilitate seamless communication among Incident Stakeholders.● Orchestrating flows for JSM UI in accordance with Opsgenie UI as part of product unification.● Used Java Spring Boot, DynamoDB, AWS, SNS, SQS, Docker

● Constructed an 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐄𝐧𝐠𝐢𝐧𝐞 called "𝐆𝐞𝐧𝐢𝐞𝐬𝐢𝐠𝐡𝐭" capable of injecting 𝐝𝐚𝐭𝐚 directly from 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 to a Data Science Model and curate actionable i𝐧𝐬𝐢𝐠𝐡𝐭𝐬 from it.● Built Microservice architecture from scratch for storing insights into Database and engineered Email Notification system for the user.● Used Java Spring Boot, Apache Airflow, Docker, Rest APIs

◉ Worked with the 𝐒𝐑𝐈𝐁 𝐍𝐋𝐔 𝐓𝐞𝐚𝐦, on 𝐏𝐡𝐨𝐧𝐞𝐭𝐢𝐜 𝐓𝐫𝐚𝐧𝐬𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐢𝐨𝐧 of 𝐍𝐄𝐬 (Named Entities) from English to Korean.◉ 𝐆𝐚𝐭𝐡𝐞𝐫𝐞𝐝 dataset from various resources and 𝐁𝐮𝐢𝐥𝐭 numerous Deep Neural Networks(𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫 𝐚𝐧𝐝 𝐒𝐞𝐪2𝐒𝐞𝐪) and Decision Tree models for the same◉ Achieved 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐂𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫 𝐋𝐞𝐯𝐞𝐥 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐨𝐟 ~80%.

◉ 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 for both Online and Offline Batches for course 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 comprising of more than 200 students in total◉ 𝐌𝐞𝐧𝐭𝐨𝐫𝐞𝐝 students various 𝐨𝐧𝐥𝐢𝐧𝐞 𝐚𝐧𝐝 𝐨𝐟𝐟𝐥𝐢𝐧𝐞 𝐬𝐞𝐬𝐬𝐢𝐨𝐧𝐬◉ 𝐇𝐞𝐥𝐩𝐞𝐝 students with their Assignments and Projects

◉ 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 for both Offline Batch for course 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 comprising of 50 students.◉ 𝐇𝐞𝐥𝐩𝐞𝐝 students with their Assignments and Projects