Career Highlights
SENIOR DEVELOPER, FRAUD SERVICE LAYER LAB
At Scotiabank's Fraud Service Layer Lab, I'm leading the design and implementation of NRTCHQ — a real-time fraud detection platform processing cheque deposits across Mobile, ATM, and Branch channels. The system identifies suspicious patterns in seconds, preventing fraud at source while maintaining seamless customer experience. I'm driving cross-functional collaboration between fraud analysts, product teams, and infrastructure engineers to translate complex risk requirements into scalable technical solutions.
Key Contributions & Responsibilities
- NRTCHQ Platform: Designed and led the development of a distributed, real-time fraud detection system processing cheque deposits across three channels (Mobile, ATM, Branch) with sub-second latency—protecting millions of daily transactions from fraud at source.
- Implemented ML-Driven Risk Assessment: Integrated machine learning models to identify fraudulent cheques instantly, reducing false positives while maintaining high detection accuracy, resulting in faster customer settlement and reduced fraud exposure.
- Led Cross-Functional Teams: Orchestrated collaboration between fraud analysts, product managers, and infrastructure engineers to translate complex risk requirements into scalable, production-ready technical solutions.
★ Recognition · "Results-Driven"
"Outstanding work and successful deliveries across the NRT Cheque initiative — the commitment, collaboration, and technical excellence truly made a difference. Delivering near real-time capabilities that strengthen fraud prevention is a big achievement, directly improving detection speed and protecting our customers and the bank."
"Outstanding support and commitment in wrapping up critical deliverables — a strong focus on results, proactive collaboration, and a results-oriented mindset. Reliability and ownership are truly appreciated."
— Scotiabank internal recognition, 2026
Cisco AppDynamics
SENIOR SOFTWARE ENGINEER & SCRUM MASTER
On the Java Agent Team at Cisco AppDynamics, enhanced an Application Performance Monitoring (APM) product delivered as SaaS—combining software engineering, AI-driven monitoring, and solution design to help global clients optimize performance, reliability, and customer experience.
Key Contributions & Responsibilities
- AI-powered anomaly detection: Contributed to features that automatically identify abnormal behaviour in business transactions and application metrics—alerting customers proactively before service degradation.
- Advanced root cause analysis: Built graph-traversal algorithms analyzing slow code execution, database queries, and remote service calls—helping enterprises resolve issues faster.
- Strengthened SaaS delivery: Partnered with product managers, architects, and vendors to improve delivery models, integration patterns, and enterprise-scale client onboarding.
- Startup-style innovation: Supported innovation pods piloting AI + SaaS prototypes, later scaled into enterprise-grade offerings.
★ Recognition · "Getting to the Finish Line"
"Thank you for solving problems related to the Analytics agent that helped us secure the SBI account. SBI was reporting issues that weren't reproducing in our environment — you kept chasing the customer until we got access to their environment to reproduce the issue (at very high scale, in a specific setup), which you then resolved. Thank you for your perseverance and customer obsession — this helped us secure the deal with SBI."
— Cisco Connected Recognition · March 2024
Informatica
SENIOR SOFTWARE ENGINEER
Worked on Informatica's Cloud Data Governance and Catalog (CDGC) platform, helping enterprises discover, govern, and understand their data assets through a modern, cloud-native catalog.
Key Contributions
- Cloud-native catalog migration: Contributed to migrating Informatica's Enterprise Data Catalog service to a cloud-native Data Catalog architecture, improving scalability and maintainability.
- Metadata pipeline & discovery: Pushed collected metadata into the Hawk ecosystem and surfaced it to consumers through an Elasticsearch- and graph-backed UI, enabling faster data discovery across the enterprise.
HP Innovation
R&D ENGINEERING · INTERN → SENIOR
Five years across HP's innovation org—progressing from intern to senior R&D engineer while building enterprise SaaS & IoT platforms from the ground up.
-
1
Senior R&D Engineer Nov 2021 – May 2022
Developed and scaled HP's Gen2 IoT Web Print Platform (WPP) from scratch—a SaaS-enabled, cloud-based solution connecting millions of HP printers globally. Took ownership across strategy, product development, and technical solution design, while evolving into a leadership role as the team expanded.
- Core product architecture: Defined and built the architecture using Java, APIs, and microservices—ensuring scalability, security, and seamless integration with HP's IoT devices.
- AWS cloud stack: Leveraged AWS services (IoT Core, DynamoDB, S3, Lambda, monitoring) to deliver a resilient, enterprise-grade SaaS platform.
- Solution lead: Guided design decisions, mentored engineers, and ensured alignment with business objectives and HP's product roadmap.
- Cross-functional collaboration: Partnered with stakeholders to influence product direction, improve customer experience, and enhance operational reliability.
★ HighlightRecognized for leading the delivery of a global IoT SaaS platform from inception to production—blending technical leadership, product innovation, and strategic solutioning.
-
2
R&D Software Engineer Aug 2019 – Nov 2021
Contributed to multiple strategic SaaS/IoT initiatives, advancing from supply-chain traceability platforms to building a cloud-connected print ecosystem from the ground up. Work spanned solution design, product development, and technical leadership—consistently aligning technology delivery with business outcomes.
Web Print Platform — SaaS for Gen 1 Printers
- Maintained a highly scaled, tightly coupled cloud platform supporting millions of devices in production.
- Supported HP ePrint, a "print anywhere, anytime" solution that let users send documents directly to printers via unique email addresses.
- Ensured platform reliability, scalability, and availability under massive device load.
Reveal Platform — SaaS Product
- Joined HP's "Reveal" team, delivering a platform providing real-time, trusted information about every physical product across its lifecycle.
- Enhanced supply-chain traceability—supporting brand protection, consumer engagement, and transparency for enterprise customers.
- Contributed to HP's vision of digital transformation in manufacturing and lifecycle management before the platform transitioned to "EVRYTHNG" (acquirer).
-
3
R&D Intern Feb 2017 – Aug 2017
Founded and developed Newton (Print Analytics Platformization) from scratch—HP's enterprise-wide Data Analytics and Business Intelligence solution. Built end-to-end data pipelines in Scala using Apache Spark.
Vital Labs (Nimesa)
RESEARCH & DEVELOPMENT ENGINEER
Joined a 5-member startup building Nimesa, a cloud-native SaaS product for data protection, backup, and disaster recovery. Worked end-to-end on product features from scratch.
Key Contributions & Responsibilities
- Built product features from the ground up: Designed and implemented core modules in Java (Play Framework) with a MySQL backend to support REST-based application workflows, taking features from concept to production.
- Developed SQL Server backup & recovery: Built and deployed SQL Server backup and recovery capabilities across VMware and AWS, enabling flexible, secure disaster-recovery operations in hybrid-cloud environments.
- Enhanced SaaS resiliency: Contributed to policy-driven, one-click snapshot recovery, point-in-time restoration, and automated DR drills—strengthening the platform's application-aware, compliance-ready data resiliency.
