Accomplished Site Reliability Engineer with a proven track record at DBS TECH, specializing in enhancing system reliability through innovative monitoring solutions and robust alert configurations. Proficient in ELK and Grafana, combined with a strong focus on proactive issue resolution. Demonstrates exceptional analytical skills and a commitment to continuous improvement, thriving in fast-paced environments while fostering effective teamwork.
CredDetect, CredDetect which is a credit card fraud application created by analysing and pre-processing data sets and deploying multiple anomaly detection algorithms such as Local Outlier Factor and Isolation Forest algorithm on the PCA transformed Credit Card Transaction data which resulted to reach in an accuracy of over 96.88%. Image Description Display Using CNN and RNN, In this project, the models utilized deep learning techniques to have a better performance. Also, real-time images of all types were applied to produce an accurate caption and the VGG16 architecture was used with some modifications which resulted to an excellent BLEU score.
As part of a Technical Fest in our Institution I have served as a Event Co-ordinator for the Event. I Captained our Institute Cricket team at various Inter-College Sports Events. Participated and qualified for last round of Code for Good Hackathon Event held at our Institution.
• Event Coordinator for Technical Fest at Institution.
• Captain of Institute Cricket Team in inter-college sports events.
• Finalist in Code for Good Hackathon.