Apex Fintech Solutions | Trade Execution Systems

• Developed an Offshore ETF trading support by implementing NAV-based pricing, Kafka-driven

routing, intelligent order handling, and eliminating external testing dependencies through a simulator.

• Built automated file-processing service for financial workflows using cloud storage, reducing manual

distribution effort and improving reliability of downstream reporting pipelines.

• User Growth via Experimentation: Increased Azure Storage account sign-ups through targeted A/B experiments

and telemetry-driven UX redesign using Azure Synapse & Data Explorer with PySpark for big data analysis.

• Release Engineering: Designed and deployed Azure DevOps YAML-based CI/CD pipelines, improving release

speed and reducing manual errors by 40%.

• Full-Stack Feature Development: Led end-to-end development of Azure Storage Soft Delete and Restore feature,

enabling recovery of deleted volumes to meet compliance requirements.

• Cloud Network Modernization: Implemented IPv6 support for Azure Storage accounts, contributing to customer

network flexibility and cloud-native modernization.

• Platform Reliability: Developed an experimentation pipeline for staged rollouts, which reduced release regressions

by 25% through gradual feature deployments and automated rollback metrics.

• Aladdin Platform – Alternative Investments: Engineered backend services for BlackRock’s Aladdin platform,

enabling Alternative Investments workflows such as trade allocation and lifecycle management. Used Java,

Spring, and Sybase.

• Portfolio Management System (Java): Optimized cash flow management across portfolios by designing a trade

allocation microservice in Java (Spring, Hibernate) to automate and balance multi-fund transactions.

• Private Credit (C#): Engineered backend infrastructure for Private Credit applications using C#/.NET Core and

SQL Server, improving system scalability and data processing throughput.

• Quality & Observability: Improved software quality and reliability by implementing robust unit testing (TDD

practices) and integrating a structured logging framework for enhanced monitoring, debugging, and

observability across services.

• Logging Platform: Improved system observability by implementing a centralized logging platform using C#,

Apache Kafka, and the ELK stack (Elasticsearch, Logstash, Kibana) to aggregate and search application

telemetry in real time.

• Monitoring & Alerts: Boosted incident response and operations efficiency by developing a real-time monitoring

and alerting system (C#, ASP.NET, Elasticsearch) that notifies support teams of critical events and anomalies.

• System Resilience: Implemented a rate-limiting throttling mechanism (sliding window algorithm) to prevent

denial-of-service scenarios, safeguarding application availability under high traffic.

• Data Pipeline & NLP: Automated market intelligence by building a Python-based web crawler for S&P 500

companies' social media data, leveraging NLP to extract sentiment and trends for analysts.

Provided end-to-end AV and technical support for film screenings, seminars, classes, and special events at the Cantor Film Center.

Operated and maintained professional-grade projection, sound, and recording systems, ensuring seamless execution of daily events.

Collaborated with faculty, students, and guest speakers to deliver reliable technical setups for live and recorded sessions.