A User

At Brandwatch, I play a pivotal role in enhancing the BCR web application, which empowers brands to understand consumer sentiment and market trends. My contributions included developing APIs that aggregate and analyze data from various sources, enabling clients to gain valuable insights into brand perception and areas for improvement. I worked within a microservices architecture, leveraging techno

At Loughborough University, I focused on optimizing cold start latency for IoT devices in serverless edge environments. My research involved designing a machine learning-based caching solution that significantly improved execution times for serverless functions deployed at construction sites. By utilizing CNN-GRU models, I effectively predicted invocation patterns to enhance performance and effici

• Led the upgrade of QUINTES GLOBAL's application architecture from monolithic to microservices, enhancing scalability.
• Developed a critical reporting microservice for a Case Management tool, integrating it with other modules for comprehensive functionality.
• Guided junior developers and provided regular updates during scrum calls, ensuring alignment among tech leads.

I was instrumental in enhancing the IFM X application at NICE Actimize, focusing on fraud prevention for major banks.

• Led a team to analyze and rebuild software, improving the application’s effectiveness in fraud detection.
• Collaborated with developers and performance engineers to identify and resolve performance bottlenecks.
• Debugged complex technical issues, ensuring accurate calcul

I played a pivotal role in enhancing web applications for Aetna and Westpac, focusing on user experience and technology migration.

• Managed and enhanced applications using Java, Spring MVC, and Angular, ensuring high performance and reliability.
• Addressed critical production issues promptly, maintaining application stability and user satisfaction.
• Mentored new team members, fostering a

Worked as System Engineer at Infosys.

completed my training at infosys mysore with 81%

12 months into the intense 3 semester course on AI including modules done so far : Python, AI(reinforcement learning, deep reinforcement learning), ML(neural networks, deep neural networks, conventional neural networks,RNN, LSTM), Robotics, NLP, Computer vision, AI project(more details in research assistant job profile above)