Let me set the records straight. Lewis Hamilton is the GOAT and I will not hear otherwise!
Now that we have that out of the way, let me tell you a bit about myself
- 🖥️ Recently started working as a Software Engineer at State Street.
- 💡 I enjoy writing in-depth solution articles and breaking down complex problems on LeetCode, helping others level up their coding skills!
- 🚵🏻♂️ Member of the Sac State Cycling Group. Let's ride sometime if you're in the area!
- ⛰️Love exploring off-beat hikes and peaks in California. My absolute favorite: 🥁🥁 Mount Whitney
- 😄 Pronouns: He/him
- 🧐 A quirky fact about me: I have a knack for diving deep into explanations, even when a simple answer would do. Over-explaining? Guilty as charged!
Working in the Foreign Exchange (FX) division, focused on developing secure and scalable backend infrastructure for post-trade processing and real-time analytics.
- Developed and optimized Forex Trading APIs using Java, Spring Boot, and PostgreSQL, supporting T+1 settlement readiness and trade audit workflows.
- Built microservices that consume trade data and apply AI-based anomaly detection to flag inconsistencies between buy-side and sell-side instructions.
- Integrated support for MT300 messages, contributing to the firm’s ongoing SWIFT MX migration initiative, ensuring compatibility with ISO 20022 standards.
- Worked with Kafka, RabbitMQ, and Hazelcast to implement fault-tolerant, low-latency messaging pipelines across FX trade systems.
- Implemented a real-time deployment verification system using Jenkins, Grafana, and Slack, reducing verification time by 70%.
- Developed components for trade reconciliation and compliance reporting against LCH and CLR requirements (central counterparty clearing).
- Collaborated with teams handling SWIFT protocol integration and helped audit message formats for regulatory alignment and downstream system ingestion.
As a student assistant in the Cyber Security Office, I contributed to strengthening the university’s security infrastructure by designing and implementing scalable observability solutions, collaborating on secure architecture reviews, and driving proactive monitoring initiatives.
- Proposed and implemented a centralized Elasticsearch-based log aggregation system, significantly improving visibility across applications and reducing incident triage time.
- Built a reliable, scalable pipeline using the ELK Stack (Elasticsearch, Logstash, Kibana) to ingest, normalize, and index logs from various security-critical applications.
- Developed real-time dashboards and alerting rules to track system health, detect application anomalies, and identify potential security events before escalation.
- Participated in secure architecture reviews, helping teams strengthen their authentication flows, logging coverage, and data access patterns.
- Assisted in operationalizing phishing simulations, managing student security awareness initiatives, and supporting university-wide alerting workflows.
