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Avenash Kumar

Resume

Avenash Kumar

Principal Engineer, Payments & Fraud Platforms · New York, USA

avenash.kumar@outlook.comLinkedIn /in/avenashkumarGitHub AvenashKumar
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Summary

Principal Engineer with 11+ years architecting high-scale, low-latency distributed systems across telecom, fintech, and security. I design resilient customer-facing platforms processing billions of transactions, with deep experience in fraud prevention, payments, bot and abuse protection, web and API security, CDN, and edge security. My current work at US Mobile centers on a real-time fraud decisioning platform, Stripe payment flows under PCI DSS and SOC 2, and an MCP based AI platform used by internal teams. I lead cross-functional architecture initiatives, mentor engineers, and take systems from architecture through production.

Experience

Principal Engineer (Backend)

US Mobile
May 2021 to Present
  • Platform architect for a real-time fraud decisioning system using Spring Reactive and 200+ risk signals across customer, device, behavioral, and transaction domains, with sub-200ms latency.
  • Improved fraud detection accuracy to 98.6% by integrating adaptive decisioning and human feedback loops, reducing false positives.
  • Built Watchtower, a dark web credential monitoring system in Java Spring Boot and Redis; account takeover incidents fell 31%.
  • Led payment platform architecture and compliance: secure Stripe PaymentIntent workflows, PCI DSS and SOC 2 controls, and third-party vendor integrations for audit readiness.
  • Designed layered bot and abuse protection with Cloudflare CDN, WAF, Bot Management, and Turnstile, plus rate limiting and device and IP intelligence, covering login, registration, checkout, and SIM swap flows.
  • Rolled out Okta SSO organization-wide with MFA and centralized identity management.
  • Built AccessHub, an internal access management platform with Next.js, React, TypeScript, MongoDB, and Okta OIDC, with centralized RBAC, approval workflows, and audit trails.
  • Architected an MCP based AI support platform that queries logs and knowledge bases in real time; response times fell 40% and engineering escalations fell about 45%.
  • Directed modernization of mission-critical Node.js microservices to Java Spring Boot. Mentored 6+ engineers and led cross-team architecture initiatives.

Software Engineer III, Full Stack

ENSCO Rail
May 2020 to May 2021
  • Architected a microservices platform processing continuous IoT sensor data in real time with Spring Boot, WebFlux, and HiveMQ (MQTT).
  • Engineered reactive streaming pipelines handling terabytes of sensor data with sub-second latency, enabling predictive maintenance.
  • Delivered operator-facing dashboards with Angular, reducing reporting and inspection times by 40%.
  • Introduced centralized observability with the ELK stack, reducing mean time to resolution for anomalies by 30%.
  • Secured mission-critical APIs with Spring Security and JWT, and implemented CDN and edge security controls for customer-facing applications.

Senior Software Engineer (Backend)

Experis, client Verizon
Oct 2018 to Mar 2020
  • Led migration of monolithic middleware and backend systems into Spring Boot microservices.
  • Designed secure access control layers with Spring Security and JPA, reducing unauthorized access incidents by 80%.
  • Improved throughput by 30% with RabbitMQ, AWS SQS, and Reactive Spring for high-volume transaction processing.
  • Implemented AWS ElastiCache Redis caching, boosting TPS by 10% and reducing latency for critical services.
  • Built a cost-efficient observability layer with AWS ELK and Fluentd, reducing incident resolution time by 25%.

Software Engineer, C++ and Java Backend

Matrix Systems
Jan 2014 to Nov 2017
  • Developed the flagship MARS (Manage Account Rebalancing Service) product for financial clients including Citigroup, Fidelity Investments, and Regent Atlantic.
  • Created high-performance financial libraries and a rule-based engine in C++, improving processing throughput by 23%.
  • Designed a Python-based workload orchestration framework distributing financial transaction processing across multiple servers.
  • Configured Jenkins pipelines and enforced TDD with SonarQube and coverage tooling across teams.

Skills

Languages & Frameworks

Java (8 to 21), Spring Boot (MVC, Reactive, WebFlux), Python, JavaScript, Node.js, Next.js, React

Messaging & Data

Kafka, RabbitMQ, Redis, MongoDB, PostgreSQL, Elasticsearch

Cloud & DevOps

AWS (EC2, Lambda, S3, ElastiCache, API Gateway), GCP (Cloud Run, Pub/Sub, GKE), Docker, Kubernetes, Helm, Jenkins, Datadog, SonarQube

Security, CDN & Edge

Cloudflare CDN, WAF, Bot Management, Turnstile, rate limiting, DDoS and API abuse protection, Spring Security, JWT, Okta SSO

Security & Compliance

PCI DSS, SOC 2, encryption at rest, vulnerability management, penetration testing

AI & ML

LangChain, Llama 2, Mistral, Ollama, Hugging Face Transformers, custom MCP servers, Claude Code workflows

Education

Master of Science, Computer Science

Maharishi International University, Fairfield, Iowa

2019

Master of Science, Computer Science (Bronze Medalist)

National University of Computer and Emerging Sciences, FAST-NU, Karachi

2017

Bachelor of Science, Computer Science

University of Karachi

2014

What I am looking for

Remote Principal and Staff backend and platform roles where the hard problems are fraud, payments, and platform reliability, ideally on a Java and Spring Boot stack. If that sounds like your team, the contact page is the fastest way to reach me, and the PDF above is the version to forward.