Oct 2020 – Jul 2022 · 1 yr 9 mos

• 0→1 Platform Launch
• ▸ Drove 0→680K MAU in 8 months, generating $38M Year-1 revenue - delivered through aggressive agile execution, vendor alignment, and relentless delivery risk management
• ▸ Defined 3-year product and technology roadmap - executed MVP delivery achieving product-market fit across UAE streaming market ahead of schedule
• ▸ Delivered 8 platform releases on-time with zero production incidents across an 18-month engagement window
• PMO & Governance Excellence:
• ▸ Established PMO framework managing $12M portfolio through stage-gate reviews, risk registries, and dependency tracking → achieved 95% on-time delivery rate, reduced misalignment-related delays 55%
• ▸ Instituted SAFe across 5 teams (60+ engineers) → cut delivery cycles 82% (6 weeks → 11 days), transforming the engineering organisation's output capacity
• AI/ML & Platform Engineering:
• ▸ Architected real-time analytics platform processing 48M+ daily events using Kafka and Spark
• ▸ Built ML-driven personalization improving CTR 43%, reducing CAC 31%, achieving 81% churn prediction accuracy within 6 months of production deployment
• ▸ Led zero-downtime migration from monolith to microservices using event-driven architecture - zero customer-impacting incidents during transition
• ▸ Implemented observability platform reducing MTTD 35%, improving SLA compliance from 94% → 99.2%
• Cloud & DevOps:
• ▸ Architected private and AWS cloud-native infrastructure with IaC, CI/CD pipelines, observability, and auto-scaling
• ▸ Achieved high availability and zero customer impact through SRE practices and automated failover
• Telco & BSS/OSS Integration:
• ▸ Owned end-to-end telco integration: Direct Carrier Billing (DCB), Zero-Rated Billing (ZRB), provisioning, and SSO across 3 UAE operators
• ▸ Built self-service analytics layer reducing data team dependency 54%, increasing product experimentation velocity 10×
• Tech Stack: AWS, Kafka, Spark, Microservices, Event-Driven Architecture, ML/AI, BSS/OSS, SAFe, Datadog, Grafana, IaC, CI/CD

Feb 2020 – Oct 2020 · 8 mos

Jun 2018 – Jan 2020 · 1 yr 7 mos · Dubai, United Arab Emirates · On-site

• ▸ Prevented $17M+ in potential operational downtime through ML-based anomaly detection and predictive maintenance across aircraft operations, ground systems, and 20+ airline partner integrations
• ▸ Reduced airline partner onboarding from 6 months to 2 weeks (92% reduction) via standardised API integrations, self-service developer portal, and sandbox environments - scaled to 20+ codeshare and ground service partners
• ▸ Architected API gateway handling 4,700+ requests/second at 99.99% availability with rate limiting, circuit breakers, and multi-region failover - zero downtime in 18-month tenure
• ▸ Led zero-downtime database migration from PostgreSQL to Cassandra using blue-green deployment and dual-write patterns → achieved 10× query performance improvement, 5× capacity scaling, zero data loss
• ▸ Built intelligent real-time alerting system reducing MTTD 76% through severity-based escalation and automated correlation across distributed aviation systems
• ▸ Designed event correlation engine enabling significantly faster root-cause analysis across complex distributed infrastructure
• ▸ Built cloud-native, resilient microservices platform on AWS with multi-region DR, IaC, distributed tracing, and SLA-driven monitoring
• Tech Stack: AWS, Cassandra, PostgreSQL, API Gateway, Kafka, Microservices, ML/AI Anomaly Detection, IaC, Terraform, Multi-Region DR, Distributed Tracing

Mar 2018 – Jun 2018 · 3 mos · Gurgaon, Haryana, India

• Led technical integration and delivery for Guidewire ClaimsCenter implementation - connecting insurance core systems with partner platforms, payment processors, and regulatory reporting systems for a major financial services client.
• ▸ Designed API-led integration architecture linking policy administration, billing, fraud detection, and claims systems — reduced inter-system latency and improved data consistency across 5 core platforms
• ▸ Implemented message-queue async processing for high-volume claims operations → improved throughput reliability and decoupled system dependencies
• ▸ Built CI/CD pipelines using Jenkins and Git with automated testing → improved release reliability and increased deployment frequency by 3×
• ▸ Led zero-data-loss migration using multi-stage validation, transformation, and rollback strategies - delivered on time with no production incidents
• Tech Stack: Guidewire ClaimsCenter, Java, API Integration, Message Queues, Jenkins, CI/CD, SonarQube

Nov 2015 – Apr 2018 · 2 yrs 5 mos · Gurugram, Haryana, India

• Built enterprise Java platforms for life insurance policy administration and underwriting serving millions of policyholders across Canada - establishing the engineering foundation that underpins the platform expertise applied at scale today.
• ▸ Designed and delivered Java/J2EE applications using microservices architecture, Spring Boot, Hibernate, and RESTful APIs — serving millions of active insurance policyholders
• ▸ Modernised legacy insurance platforms improving core system performance 58% through systematic refactoring, query optimisation, and architectural improvements
• ▸ Established automated regression testing and CI pipelines → reduced test cycle time 64%, enabling faster and more reliable release cadence
• ▸ Migrated monolithic insurance applications to modular microservice architectures - improved deployment flexibility and reduced release risk across 12 production services
• ▸ Recognised as go-to technical resource for cross-team problem solving and junior developer mentorship
• Tech Stack: Java, J2EE, Spring Boot, Microservices, Hibernate, REST APIs, AngularJS, CI/CD, SonarQube, Automated Testing

Feb 2013 – Nov 2015 · 2 yrs 9 mos · Noida, Uttar Pradesh, India · On-site

• Architected real-time fraud detection and core banking systems for tier-1 banks processing millions of daily transactions — the ML and platform engineering foundation applied at enterprise scale today.
• AI/ML Fraud Detection:
• ▸ Built Random Forest and Gradient Boosting fraud detection models achieving 89% accuracy with low false positives — evaluated 50+ behavioural signals per transaction in real time
• ▸ Implemented credit risk scoring using 100+ data points with SHAP explainability for regulatory compliance and model auditability
• ▸ Automated AML, KYC, and sanctions screening integrating OFAC/PEP lists using NLP and OCR - reduced manual compliance review time significantly
• Core Banking & Payment Platforms:
• ▸ Built high-throughput payment processing platform achieving 99.99% uptime with real-time settlement and sub-200ms P99 latency — zero security breaches across full tenure
• ▸ Architected secure banking infrastructure with active-active HA, AES encryption, tokenisation, and multi-factor authentication
• ▸ Designed signal engineering pipelines evaluating 50+ behavioural data points per transaction - enabled real-time decision making at scale
• Tech Stack: Python, Java, Random Forest, Gradient Boosting, NLP, OCR, AML/KYC, High-Availability Architecture, Payment Processing Systems, Apache Kafka