• Architected and built a full-featured AI financial analysis platform running entirely on local infrastructure using Ollama for local LLM inference, eliminating cloud dependency and ensuring data privacy.

• Designed and implemented RAG (Retrieval-Augmented Generation) pipelines to provide context-aware financial insights from market data, news, and documents.

• Integrated MCP (Model Context Protocol) to orchestrate multi-tool AI agents capable of fetching live stock and crypto data, running analysis, and generating predictions.

• Built multimodal analysis capabilities to process financial charts, candlestick patterns, and visual market indicators alongside text-based data.

• Implemented EOD (End of Day) and end-of-week price prediction models for stocks and cryptocurrencies using historical data and AI inference.

• Developed a full conversational chat interface enabling natural language interaction with the platform for queries, analysis, and reports.

Key Technologies: Python, Ollama, RAG, MCP (Model Context Protocol), Local LLM, Multimodal AI, Vector Databases, REST APIs, Financial Data APIs

▸ Architected and led technical delivery of MetLife Investment platforms across cloud and on-premises environments.

▸ Led and managed cross-regional team, owned technical governance and roadmap alignment at director level.

▸ Onboarded Kyligence Platform, retiring legacy Quartet Platform and saving $1M+ annually in licensing costs.

▸ Led legacy modernization of Derivatives applications, migrating from on-prem IaaS to cloud PaaS and integrating with SaaS vendors, eliminating on-prem hosting overhead.

▸ Delivered time-critical MURRX database migration (Sybase to Oracle) within 6 weeks - introduced Oracle automated SP conversion tool and used GitHub Copilot to build automated testing scripts for stored procedures and Java jobs, enabling on-time go-live and saving $1M+ in Sybase license renewal costs.

▸ Decommissioned HPC, HPC nodes, license server, and dedicated vendor infrastructure, achieving significant cost savings in licensing and AM support.

▸ Migrated WAS Traditional to WAS Liberty, reducing annual licensing cost from $358K to $56K, saving $300K+ per year.

▸ Onboarded Terraform Cloud, enabling teams to self-serve infrastructure provisioning via IaC, eliminating cloud team ticket dependency and accelerating delivery cycles.

▸ Integrated OpenAI LLM into audit processes, automating routine data validation and reporting tasks and reducing manual effort by 40%.

▸ Spearheaded AI-driven onboarding workflows using GitHub Copilot; developed training modules and inline code guidance to accelerate engineer ramp-up.

▸ Designed and implemented scalable, secure microservices on Kubernetes and serverless architectures on Azure.

▸ Collaborated with non-technical business partners to translate requirements into architecture solutions and future-state roadmaps.

Key Technologies: Java, Spring Boot, .NET, C#, Python, Azure (Synapse, Databricks, APIM, ADF, Functions), SSIS, SSRS, Power BI, Terraform, Kubernetes, Docker, SQL, Oracle, Sybase, TDD, Agile, ML, Visio.

▸ Led teams across two major digital programs (Get-Support and Find-Care) delivering Spring Boot microservices and REST APIs within tight timelines.

▸ Implemented MuleSoft API Gateway with JWT/OAuth2 authentication for secure, scalable API management.

▸ Deployed applications on PCF (on-prem and Azure multi-region) with Concourse CI/CD pipelines; configured active-active and active-passive patterns for high availability.

▸ Built responsive UI components with React/HTML5/CSS3 integrated with backend microservices.

▸ Enforced TDD practices, code reviews, and clean code standards; improved code coverage and maintainability across teams.

▸ Gathered requirements from stakeholders and translated into user stories; facilitated Agile Scrum ceremonies.

Key Technologies: Java, Spring Boot, React, MuleSoft, PCF, Concourse, JWT, OAuth2, Log4j, JUnit, Gradle, HTML5, CSS3, TDD, Agile.

• Delivered end-to-end full-stack features (React/Redux frontends + Spring Boot backends) for client projects, improving client satisfaction and time-to-market.

• Automated deployment workflows to AWS and containerized environments, reducing manual deployment effort and errors.

• Collaborated with clients to translate business requirements into technical designs and prioritized deliverables to meet deadlines.

• Improved test coverage and CI pipelines, reducing regression risk and accelerating release cadence.

• Provided technical support and troubleshooting for production incidents, contributing to faster resolution and improved SLAs.

• Coached junior developers on best practices for frontend/back-end integration and deployment patterns.

Key Technologies: Java, Spring Boot, React, Redux, AWS, Docker, Jenkins, Kafka, Hibernate, SQL.

▸ Led a team of 5 engineers supporting 120 employees and 54,000+ e-banking clients across 36 branches.

▸ Built and administered full e-banking environment: Active Directory/LDAP, SMS engine/gateway, Lotus Domino mail, IIS reverse proxy, WAF (F5).

▸ Virtualized infrastructure using VMware, Hyper-V, and Oracle VirtualBox; implemented load-balanced active-active app servers.

▸ Managed app servers (WAS, JBoss, Tomcat, WebLogic) and SQL Server operations (backup, recovery, mirroring).

▸ Established DR environments; coordinated with Network and Security teams for hardening and vulnerability remediation.

▸ Managed SAS applications including Web Search, Sanction, AML, and FATCA systems.

▸ Automated daily operations and built monitoring scripts to notify teams of system status in real time.

Key Technologies: VMware, Hyper-V, SQL Server, IIS, Active Directory, WAS, JBoss, Tomcat, WebLogic, F5, Linux, Windows Server.