May 2024 – Mar 2025 · 10 mos · Pune, Maharashtra, India

• Architected and delivered Altcase’s Wealth & Secondary Market Platform, enabling retail and institutional investors to access unlisted IPOs, pre-IPO shares, and fixed-income instruments — similar in scale and architecture to EquityZen-type secondary liquidity platforms.
• Platform Architecture: Designed a cloud-native, event-driven architecture using GoLang microservices, Kafka, and AWS RDS, enabling low-latency, high-throughput transactions.
• Secondary Market Module: Built marketplace APIs supporting investor onboarding, deal syndication, compliance, and allocation workflows with digital KYC and escrow integrations.
• FD & Wealth Platform Integration: Unified Fixed Deposit, 24K (Mutual Fund), and Unlisted IPO modules into a single Wealth-as-a-Service (WAAS) framework.
• Security & Compliance: Implemented JWT/OAuth2 security, full audit logging, and adherence to SEBI KYC/AML guidelines through automated verification and partner integrations.
• API Ecosystem: Delivered REST + GraphQL APIs for distributors, IFA partners, and financial institutions for white-label deployment.
• CI/CD & DevOps: Automated deployment pipelines via Kubernetes on AWS ensuring zero downtime and smooth feature rollouts.
• Scalability & Performance: Achieved sub-100ms transaction latency and horizontal scalability across services; designed for multi-region deployment.
• Team Leadership: Led backend, frontend, and DevOps teams across GoLang, React, and Flutter stacks — establishing code quality, observability, and design standards.

Feb 2023 – May 2024 · 1 yr 3 mos · Pune, Maharashtra, India · On-site

• Architected and delivered the Brokerage-as-a-Service (BKAAS) modernization for DriveWealth, a global FinTech enabling embedded investing for partners such as Revolut, MoneyLion, and HCLTech.
• Kafka Modernization: Led migration from ActiveMQ to Apache Kafka, establishing an event-driven architecture with guaranteed delivery and >99.99% reliability.
• Microservices & SaaS Design: Defined multi-tenant, cloud-native architecture supporting onboarding, post-trade, reconciliation, and reporting flows for 1M+ daily transactions.
• Aeron Cluster Integration: Implemented Aeron Cluster–based Orders API reducing order placement latency to <10 ms and improving throughput by 35%.
• Fan-In/Fan-Out Architecture: Designed reconciliation and post-trade systems using Kafka Streams for parallel message processing and real-time exception handling.
• High Availability & DR: Delivered HA + DR architecture leveraging Redis caching, Kafka replication, and AWS failover clusters.
• Governance & Patterns: Authored internal Kafka Architecture Framework and Pattern Library adopted across Persistent’s BFSI practice.
• Collaboration: Partnered with U.S.-based product and security teams to align architecture with financial data compliance and cloud deployment standards.

Feb 2021 – Feb 2023 · 2 yrs · Pune, Maharashtra, India

• Architected the Magnifi Trading Platform — TIFIN’s flagship AI-driven investment marketplace enabling real-time fractional and notional trading across U.S. equities, ETFs, and thematic portfolios.
• Platform Architecture: Designed a microservices-based event-driven trading engine using Kafka, Python AsyncIO, and AWS Lambda, ensuring low-latency order routing and execution (<50 ms).
• Integration: Integrated with APEX Clearing APIs for trade lifecycle automation including order placement, execution, and reconciliation with complete exception management.
• Intelligence Layer: Implemented an AI-driven portfolio rebalancer that optimized fractional allocations dynamically based on user risk and market volatility.
• System Reliability: Delivered 99.99% uptime via multi-availability-zone architecture on AWS EKS; implemented Redis-based caching and message deduplication to ensure state integrity.
• Performance Optimization: Reduced response latency by 35% and improved throughput by 2x via async event handling and optimized serialization.
• Collaboration: Partnered with U.S. quant and product teams to design APIs for the Advisor Intelligence and Thematic Portfolio Engine.
• Security & Compliance: Implemented OAuth2/JWT-based auth, data encryption, and FINRA-compliant logging for transaction traceability.

Dec 2011 – Feb 2021 · 9 yrs 2 mos · Pune/Pimpri-Chinchwad Area

• Delivered enterprise-scale architecture and modernization programs for global banking and asset management clients, focusing on low-latency trading, wealth, and integration systems.
• Architecture Leadership: Led multi-year modernization of order management, risk, and reconciliation systems, migrating from monolithic Java to Spring Boot microservices and Kafka-based event-driven architecture.
• Trading Systems Design: Architected real-time position management and trade enrichment modules for Prime Brokerage and Wealth divisions — processing millions of daily events.
• Messaging & Middleware: Re-engineered message distribution pipelines from JMS/ActiveMQ to Kafka, improving throughput and reliability while enabling horizontal scalability.
• Integration Solutions: Built REST and SOAP-based APIs to integrate with core platforms like Murex, Calypso, and Fidessa, and internal risk engines.
• Performance Optimization: Reduced reconciliation latency by 40% via in-memory caching (Hazelcast) and asynchronous event flows.
• Client Engagement: Partnered with U.S. and European architecture teams to define technical roadmaps for migration to cloud-native environments (AWS / Azure).
• Mentorship & Governance: Oversaw a team of architects and senior developers, driving design reviews, best practices, and reusable architectural components for BFSI clients.
• Key Technologies: Java, Spring Boot, Kafka, Microservices, Hazelcast, REST APIs, AWS, SQL Server, Docker

May 2010 – Sep 2011 · 1 yr 4 mos · New York City Metropolitan Area

• Architected and delivered high-performance trading and post-trade systems for Bank of America’s Global Markets division, focusing on Prime Brokerage and Equities technology platforms.
• Architecture & Design: Defined low-latency, multi-threaded Java components for trade capture, allocation, and reconciliation across U.S. and EMEA trading desks.
• Messaging & Integration: Built and optimized JMS-based middleware (Tibco EMS / ActiveMQ) for trade enrichment and downstream distribution to risk and clearing systems.
• Performance Optimization: Improved message throughput by 40% through asynchronous event handling, in-memory caching, and optimized serialization.
• Risk & Reporting Systems: Integrated with Calypso and internal risk platforms for real-time P&L and exposure management.
• Scalability & Reliability: Enhanced system reliability through distributed transaction management and failover clustering on Unix/Linux environments.
• Collaboration: Partnered with front-office and global technology teams to deliver solutions adhering to FINRA and SOX compliance requirements.
• Technologies: Java, JMS, Spring, Tibco EMS, ActiveMQ, Oracle, Unix/Linux, MQ Series

Oct 2006 – Nov 2007 · 1 yr 1 mo · Greater New York City Area

• Bank of America | Technical Lead (Prime Brokerage / Trade Processing Systems)
• Oct 2006 – Nov 2007 | New York City Metropolitan Area
• Led a team responsible for enhancing Prime Brokerage trade booking and post-trade processing systems for Bank of America’s Equities Technology division.
• System Modernization: Re-engineered legacy trade capture and allocation modules in Java, improving scalability and maintainability for high-volume trading environments.
• Integration: Designed middleware services for order enrichment and reconciliation between front-office trading platforms and middle-office clearing systems.
• Performance Optimization: Reduced average trade processing time by 25% through query optimization, JVM tuning, and asynchronous event handling.
• Messaging Architecture: Enhanced message routing reliability using JMS and Tibco EMS, enabling guaranteed delivery across distributed systems.
• Data Consistency: Implemented transaction recovery and fault-tolerant mechanisms ensuring zero data loss across failover events.
• Stakeholder Collaboration: Worked closely with New York and London trading desks to deliver stable releases aligned with regulatory and operational risk guidelines.
• Technologies: Java, JMS, Tibco EMS, Oracle, Spring, MQ Series, Unix/Linux

Nov 2007 – May 2010 · 2 yrs 6 mos · Greater New York City Area

• Led development and optimization of front-to-back trade capture and risk systems for Citi’s Global Markets and Equities Technology division — supporting real-time trade flow, P&L computation, and post-trade processing across multiple asset classes.
• Architecture & Design: Designed multi-threaded Java components for trade capture, enrichment, and reconciliation, processing millions of messages daily.
• Integration: Built FIX protocol-based adapters and middleware to integrate front-office trading systems with middle and back-office clearing platforms.
• Performance Optimization: Improved end-to-end trade processing throughput by 30% through JVM tuning, in-memory caching, and asynchronous processing.
• Risk & P&L Reporting: Engineered real-time risk exposure and P&L dashboards for equities and derivatives desks, ensuring data integrity across distributed systems.
• Messaging Infrastructure: Developed and maintained JMS/Tibco-based message buses for cross-system communication and guaranteed delivery.
• Compliance & Reliability: Delivered fault-tolerant, auditable solutions compliant with SOX and regulatory standards.
• Collaboration: Partnered with traders, quant teams, and global engineering groups to optimize trade lifecycle automation and ensure high system availability.
• Technologies: Java, JMS, FIX Protocol, Tibco EMS, Spring, Oracle, Unix/Linux, Log4J

Feb 2004 – Oct 2006 · 2 yrs 8 mos · New York City Metropolitan Area

• Designed and implemented high-performance trade reporting and analytics systems for the Prime Brokerage division at Goldman Sachs, supporting real-time trade capture, reconciliation, and exposure reporting across global markets.
• Trade Reporting Platform: Built multi-threaded Java-based reporting engines generating risk, P&L, and position data for equities and derivatives desks.
• Data Integration: Engineered ETL pipelines and data marts for consolidating trade data from multiple sources (Risk, Clearing, and Settlement systems).
• Performance Optimization: Improved reporting throughput by 40% through query optimization, caching strategies, and asynchronous task execution.
• Messaging Framework: Developed JMS-based communication layer for intra-desk data distribution and event notifications, ensuring high reliability and fault tolerance.
• Analytics & Visualization: Collaborated with quant teams to integrate real-time analytics APIs for margin exposure and client portfolio performance.
• Automation & Quality: Implemented automated regression and unit testing frameworks, ensuring data accuracy across millions of daily trades.
• Collaboration: Worked closely with front-office, risk, and operations teams in New York and London to align technology with business-critical reporting needs.
• Technologies: Java, JMS, Spring, Oracle, Unix/Linux, Sybase, ETL, Log4J

Jun 2002 – Feb 2004 · 1 yr 8 mos · Greater Milwaukee

Apr 2001 – Oct 2006 · 5 yrs 6 mos

• Delivered large-scale enterprise application development and integration solutions for leading financial institutions across investment banking and wealth management domains.
• Core Banking & Wealth Systems: Developed and enhanced portfolio management, fund allocation, and client servicing modules for U.S. financial clients.
• Backend Engineering: Designed and implemented high-availability Java/J2EE services using Spring, JDBC, and Oracle for real-time transaction and reporting systems.
• Integration Development: Built SOAP and REST-based services to connect client-facing platforms with downstream systems, ensuring data integrity and secure communication.
• Performance Optimization: Improved batch processing and query performance by 30% through database optimization and caching strategies.
• Client Engagement: Collaborated with onshore teams at Goldman Sachs and Northwestern Mutual, translating business requirements into scalable, maintainable technical designs.
• Quality & Governance: Introduced code review and automated build pipelines, improving code quality and reducing defects across multiple delivery sprints.
• Mentorship: Trained and mentored junior developers on object-oriented design, debugging, and design patterns.
• Technologies: Java, J2EE, Spring, Oracle, JDBC, SOAP/REST APIs, WebLogic, PL/SQL, Unix