THARUN A

Currently serving as a Site Reliability Engineer within the Plant Management team, providing critical support for CLA, ETSCFG, and Goldeneye applications to ensure their optimal performance and reliability.

• Developed proficiency in key applications (CLA, ETSCFG, Goldeneye) to efficiently address complex application issues and user queries, enhancing system stability and user satisfaction.
• Successfully resolved a critical real-time scenario involving 'Logs not copying to central Repository' during a Wargaming exercise, ensuring data integrity and operational continuity.
• Automated batch progression monitoring by implementing a Microsoft Teams chatbot for CLA Archival Batch, providing real-time updates every 15 minutes and improving operational visibility.
• Gained expertise in deploying critical scripts into production environments utilizing a robust CI/CD pipeline with GIT, Jenkins, Bitbucket, and TCM, streamlining release processes.
• Contributed to the infrastructure setup for Systematic and Research Strategies, supporting the development and deployment of critical financial tools and platforms.
• Executed global deployments of Archival Batch across Singapore and Sydney regions, ensuring seamless data management and operational consistency across international sites.
• Resolved critical bugs in CLA-Tooling Scripts, enhancing system reliability and preventing potential disruptions to core business operations.
• Streamlined network file system operations by procuring CnD NFS shares from Voltaire and applying QoS fixes, successfully onboarding them to all regions to maintain continuous Archival Batch functionality.
• Recognized for contributions to the Firm's Core Value of 'Put Clients First' by ensuring quick turnaround times for IT requests, significantly improving client satisfaction and operational efficiency.
• Proactively performed regular Disaster Recovery Testing to ensure the continuous availability and resilience of Archival Batch, safeguarding critical data and business operations.

Completed a comprehensive internship focusing on foundational SRE principles, acquiring practical skills in ITIL, MySQL, SDLC, Python, and Linux to prepare for a Site Reliability Engineering role.

• Acquired practical skills in ITIL for service management, MySQL for database operations, SDLC for software development lifecycle, Python for scripting, and Linux for system administration.
• Engaged in hands-on projects applying learned concepts to real-world scenarios, building a foundational understanding of SRE best practices.
• Collaborated with peers on technical challenges, enhancing problem-solving and teamwork abilities relevant to enterprise IT environments.

Developed and deployed machine learning models to automate the extraction of critical information from confidential documents, enhancing data processing efficiency for legal and financial applications.

• Designed and implemented a machine learning model to accurately detect and extract specific information from diverse document types, reducing manual processing time.
• Leveraged Graphical Neural Networks (GNNs) to precisely identify and extract required fields within confidential documents, improving data accuracy and security.
• Contributed to the development of an automated solution for document analysis, demonstrating proficiency in ML model creation and application.

Actively participated in the 'Geo Club' at Bannari Amman Institute of Technology, focusing on environmental protection and community engagement initiatives.

• Organized and led various environmental awareness events, including an Anti-Plastic Camp, Blood Donation Camp, and Organ Donation Camp, promoting community welfare.
• Created and distributed informative posters and certificates to raise awareness and acknowledge participation in club activities.
• Fostered community engagement through diverse initiatives, contributing to environmental sustainability and public health awareness.

Developed a machine learning model using Convolutional Neural Networks (CNN) and TensorFlow to accurately classify diseases in paddy crops based on image analysis.

Created a machine learning model integrated with a Flask web application to predict biogas outlet based on various input parameters from a sewage plant.

Developed an innovative personal safety device and accompanying Android application designed to provide immediate assistance during emergencies by leveraging voice recognition and location tracking.