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Python, Django, DRF, Java, Spring Boot, Node.js, C++, FastAPI, GraphQL, REST APIs, gRPC
Architecting high-throughput distributed systems, agentic AI infrastructure and real-time fintech platforms — 5M+ users, sub-200ms p99, 99.99% uptime.
I build the systems that 5 million people rely on without ever noticing — which is exactly the point.
Software Development Engineer II at Amazon Web Services with 5+ years architecting fault-tolerant, high-throughput distributed systems across cloud infrastructure, fintech, and agentic AI. Expert in Python, Java, and React/TypeScript — delivering production-grade LLM infrastructure and Kafka streaming pipelines at sub-200ms p99 latency with 99.99% uptime.
Published Springer researcher and pending patent holder in smart traffic systems. Proven force multiplier: I mentor engineering squads, author Architectural Decision Records, and build the high-ownership cultures that make good systems inevitable.
Off the clock — chasing new countries, communities, and cuisines. Always planning the next trip.
Python, Django, DRF, Java, Spring Boot, Node.js, C++, FastAPI, GraphQL, REST APIs, gRPC
React, TypeScript, JavaScript, MUI, Component Libraries, Dynamic Data Visualizations, Responsive UI
PySpark, Databricks, Delta Lake, Apache Kafka, Spark, Airflow, GCP Dataflow, ETL/ELT, 1B+ event pipelines
LLM Orchestration, LangChain, LangGraph, Multi-Agent Systems, RAG, Agentic Workflows, Vector Search, TensorFlow
AWS (CDK, S3, Lambda), GCP (BigQuery, Dataflow), Azure, Terraform, Kubernetes, Docker, Jenkins, CI/CD, GitOps
PostgreSQL, BigQuery, T-SQL, Redis (sharding, replication), Azure Cosmos DB, SQL Query Optimization
OpenTelemetry, Distributed Tracing, Prometheus, Grafana, SLO/SLA Design, Dynatrace, Splunk, p99 Tuning
RBAC, PII Handling, Zero-Trust, SOC2/GDPR, Azure AD, OAuth 2.0, JWT, ACH/NACHA, WCAG 2.1 Accessibility
Building the telemetry infrastructure behind Amazon Aurora and RDS — systems that collect, ingest, and route database telemetry across millions of instances, feeding a fleet-wide data lake and AI-driven engines that detect performance anomalies, diagnose root causes, and deliver tuning recommendations to customers at massive scale.
Architected a production-grade banking platform end to end — Python/Java Spring Boot APIs, React/TypeScript frontend, and Kafka streaming pipelines serving 5M+ users at sub-200ms p99. Delivered 99.99% uptime with sharded Redis clusters, OpenTelemetry tracing across 15+ microservices, and Terraform/Jenkins GitOps automation, while driving zero-trust RBAC and org-wide ADRs across 4 squads.
Designed fault-tolerant REST & GraphQL APIs sustaining 5M+ TPS at sub-100ms SLAs and built PySpark ETL/ELT pipelines on Databricks with Delta Lake — cutting large-scale processing time 45% through Python and BigQuery optimization while mentoring junior engineers on SRE practices.
Autonomous AI trading agent — ingests live market news, reasons across multiple signals, and executes paper trades with zero manual intervention.
University of Colorado Denver
VIEW DIPLOMA ↗Panimalar Engineering College
Peer-reviewed research on production ML systems at city scale — Springer Journal.
DOI: 10.1007/978-3-030-77637-4_2 ↗Bay Detection & Dynamic Queuing Algorithms for real-time traffic optimization.
Analysis of security vulnerabilities and mitigation strategies in EV charging networks.