Building OCI AI/ML Platform

☛ Design and build high-performance financial fraud detection systems that is robust, scalable and observable. ☛ Develop optimized concurrent Java services to detect financial fraudulent transactions through deep learning models.☛ Define zero-downtime deployment/rollback strategy by evaluating the system components on the critical path.☛ Optimize, tune and debug internal JVM memory, Garbage Collector (GC) for better performance.☛ Design and implement API interfaces to integrate financial services with fraud detection services.☛ Identify features for ML model and Rules-based engine and validate the features. ☛ Develop and test services to compute real-time sliding window and historic window, time-based features for Feature Engineering.☛ Optimize the overall capacity of the system through performance testing of end-to-end services and validate the benchmarks of metrics such as latency, throughput (tps), uptime, CPU, memory, disk, IOWait, GC time, JVM Heap.☛ Capitalize CI/CD systems to automate system tests, integration tests and performing releases thus improving the efficiency of Software Development and Release Life Cycle.☛ Debug and troubleshoot production issues across services (jps) and systems (vmstat), identify the root cause (RCA). ☛ Contribute to cross-functional strategic initiatives to improve engineering delivery experience by 50% such as building Test Frameworks for system tests, smoke tests and database tests.☛ Scribe documentations on Design, HowTo, API, Technical decisions, Production changes and Project process.☛ Prioritize code reviews and mentor junior engineers to strengthen my team.☛ Delivered successfully 3 large-scale Fintech production systems with high standard quality since 2019.☛ Awarded as the Best Employee of 2018 for being an All-rounder and owning more responsibilities.☛ Conducted over 100 interviews to identify potential employees from 2017 till 2020.

☛ Research on Health Welfare using Pervasive Computing and Wearable Computing to predict smoking behavior that facilitate smoking cessation. ☛ Development of a Questionnaire App in an Android platform for a self-report user survey that was used for user study and Data Analysis. The App notifies the user to take the Questionnaire when the user is detected smoking through the hand movement through pervasive and wearable computing. The data was used to predict the smoking behavior and finally facilitating smoking cessation for the particular user through a dedicated treatment. ☛ Research on Mobile Security which aims at deriving the unique swipe pattern of a user through swipe points, pressure of the swipe, size of the swipe and time of the swipe.

☛ Drive students to follow the fundamentals of Agile-Scrum and Agile best practices in academic projects.☛ Train students to design software projects with the best architecture style and design patterns.

☛ Design and develop ETL data pipeline Anti-Money Laundering (AML) jobs using Ab Initio tool to monitor and detect suspicious financial transactions involved in Money Laundering.☛ Develop and test jvm-based JAVA services to execute ETL jobs in batches at scheduled time slots. ☛ Develop Teradata queries to extract and load the data in Enterprise Data Warehouse.

☛ Assess project tasks, cooperate with project managers in managing deliverables, and risk mitigation.☛ Track project progress, document issues & logs, and execute strategies to optimize resource usage.