Ashin E Abraham

Senior Software Engineer

Tokyo

Summary

Results-driven Senior Software Engineer with over 7 years of experience in designing and scaling high-performance backend systems using Go and Python. Proven track record in building distributed, cloud-native infrastructures capable of handling millions of requests with sub-100ms latency. Expertise in real-time communication (RTC/WebRTC), microservices architecture, Kubernetes, and AWS. Skilled in leading engineering teams, mentoring developers, and delivering robust production-grade systems at scale.

Overview

years of professional experience

Work History

Avatarin

Cloud Infrastructure Development Engineer

07.2023 - Current

Job overview

Architected and deployed multi-region, highly scalable, ultra-low latency RTC cloud services across 4–5 AWS and GCP regions, supporting 5,000+ concurrent sessions with sub-100ms end-to-end communication latency.
Designed and implemented a full RTC protocol stack enabling multi-party real-time communication, supporting concurrent sessions across multiple cloud regions while contributing to a team-maintained 99.95% service uptime.
Researched, evaluated, and applied advanced ultra-low latency RTC technologies including KCP, FEC, and WebRTC, improving stream reliability and packet loss recovery.
Engineered network protocol layer spanning KCP, UDP, TCP, and ICE to optimize peer connection establishment and data transmission efficiency.
Integrated third-party observability and analytics tools (New Relic) into production infrastructure, enabling real-time performance monitoring and reducing mean time to detection (MTTD) for critical incidents.
Refactored and optimized high-impact sections of the production codebase in Go, improving system throughput and reducing technical debt across the service layer.
Designed and shipped multi-architecture SDK builds in Golang targeting cross-platform deployment, enabling client teams to integrate RTC capabilities with minimal friction.
Provided 24/7 production support through proactive monitoring, on-call incident response, and root cause analysis, maintaining high-availability SLAs across live RTC services.
Collaborated with cross-functional engineering teams to maximize cloud infrastructure utilization and reduce operational costs.
Led architectural design reviews and execution planning to ensure stable, fault-tolerant service delivery across multiple cloud platforms.
Established and enforced development standards, code review processes, and engineering best practices to improve code quality, consistency, and team velocity.
Designed and executed rigorous testing frameworks and introduced optimization logic that improved system reliability and efficiency in production environments.

QBurst

Senior Software Engineer — Go & Python

10.2021 - 06.2023

Job overview

Designed, developed, and maintained high-performance distributed backend systems in Go capable of processing thousands of requests per second at low latency.
Optimized critical algorithms and data structures in Go, reducing average API response times by up to 50% and significantly improving throughput under peak load.
Deployed and managed containerized Go microservices using Docker and Kubernetes (K8s), ensuring horizontal scalability, fault tolerance, and zero-downtime deployments.
Built and maintained RESTful APIs in Go using Gin and Gorilla Mux, serving as integration layer between backend services and front-end applications.
Developed reusable Go libraries and internal packages, reducing duplication across codebases and accelerating new feature development.
Managed data persistence and retrieval for Go applications across PostgreSQL, MySQL, and MongoDB, ensuring efficient query performance and schema integrity.
Implemented comprehensive testing suites using GoConvey and Ginkgo, achieving high code coverage and reducing production bug rates.
Architected and delivered Go-based microservices systems with clearly defined service boundaries, enabling independent deployment and scalability of components.
Implemented secure inter-service communication protocols using gRPC and HTTP/2, ensuring data integrity and reduced network overhead.
Built concurrent and parallel processing pipelines in Go, increasing system throughput and reducing latency for high-volume workloads.
Established full observability stack using Prometheus, Grafana, and New Relic for real-time metrics, alerting, and performance diagnostics.
Mentored and coached junior Go developers on best practices, code quality standards, and idiomatic Go patterns, improving overall team capability.
Performed code reviews, debugging, and root cause analysis on client codebases, collaborating with QA, project managers, and stakeholders to resolve technical issues.

Alokin Software Private Ltd

Software Engineer — Golang & Python

07.2017 - 10.2021

Job overview

Implemented new API-centric backend architecture in Go and Python, resulting in a 30% increase in overall application performance.
Led a team of 5 engineers to design and deliver a highly scalable distributed platform capable of handling 10,000+ requests per second, directly improving user retention and satisfaction.
Architected and deployed secure, scalable cloud solutions on AWS leveraging ECS, S3, DynamoDB, and CloudWatch for service orchestration, data storage, and system monitoring.
Designed scalable NoSQL data storage solutions using AWS DynamoDB to handle high-velocity, large-volume data with consistent low-latency access.
Promoted and implemented Kubernetes, Kafka, and AWS best practices across the engineering team, building a foundation for highly efficient, event-driven systems.
Scraped, ingested, and analyzed data from 1,000+ websites using Python, generating business intelligence reports that directly informed strategic decision-making.
Developed robust, modular backend services in Golang and Python, focusing on performance, maintainability, and reusability across multiple products.
Mentored junior engineers in Go, Python, and cloud technologies, systematically improving team performance and knowledge depth.
Collaborated with cross-functional teams to diagnose and resolve complex technical challenges, ensuring delivery of high-performance solutions within deadlines.
Drove technical leadership in complex enterprise environments, equipping team members with skills to navigate large-scale distributed systems.
Conducted end-to-end test scenario planning and execution with development teams to identify and resolve production issues proactively.
Incorporated evolving business requirements by adjusting design parameters, delivering flexible, adaptable backend solutions across multiple client engagements.

Skills

Languages: Go (Golang), Python

Cloud & Infrastructure: AWS (ECS, S3, DynamoDB, CloudWatch), Kubernetes, Docker, GCP, Multi-Cloud

Real-Time & Networking: WebRTC, KCP, UDP, TCP, ICE, FEC, gRPC, HTTP/2, RTC Protocol Stack

Databases: PostgreSQL, MySQL, MongoDB, DynamoDB (NoSQL)

Frameworks & Libraries: Gin, Gorilla Mux, GoConvey, Ginkgo

Observability & Monitoring: New Relic, Prometheus, Grafana

Architecture: Distributed Systems, Microservices, Event-Driven Architecture, REST API, SDK Development

DevOps & Tools: Kafka, CI/CD, Git, On-Call Incident Response