Akhil Soni
Enterprise AI Enabler | Solution architect | Technical leader | Low latency system design | System integration | Domain driven micro service architect | Cloud migration strategist
- Role
- Engineering Manager Technical Leader at PayPay India
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Akhil Soni
I am an experienced solution architect and senior engineering leader with a proven track record in building distributed, low-latency, and highly available systems for regulated and mission-critical platforms.I design and lead AI-enabled engineering workflows that improve productivity across the software development lifecycle—from requirement analysis to design, development, testing, and release—enhancing consistency, speed, and traceability.My expertise spans event-driven and asynchronous architectures, distributed transactions, state machines, core API design, and system integration. I ensure all non-functional requirements—latency, scalability, availability, resilience, fault tolerance, and observability—are met while embedding governance, compliance, and operational readiness into the architecture.I thrive in complex, large-scale environments, shaping platform architecture and AI-driven engineering practices to build reliable, scalable, and future-ready systems.
Experience
Engineering Manager Technical Leader
Apr 2025 — Present · Gurugram, IN
Lead and manage the Payment Utilities team, owning end-to-end platforms including Point Systems, Gift Voucher Systems, International Payments, and Terminal Gateway Interfaces. Drive delivery in a highly agile environment with aggressive timelines and continuously evolving product, regulatory, and business requirements. Established and implemented AI-enabled engineering workflows to materially improve productivity across the software development lifecycle:~80% reduction in solution design effort 100% automation of test case authoring ~70% improvement in coding productivity ~50% efficiency gain across SDLC processes ~30% improvement in alerting and monitoring (actively driving towards 90%+) Currently implementing an AI-driven Development Lifecycle (AI-DLC) to automate and optimize planning and execution from product requirements through beta testing, improving consistency, speed, and engineering throughput. Consistently achieve >95% sprint commitment completion, enabling predictable and reliable delivery. Review, guide, and unblock complex technical solutions under tight functional constraints, with strong emphasis on: Low latency Scalability High availability Reliability and fault tolerance 🧱 Resilient system design
Education
Indian Institute of Technology, Delhi
Bachelor of Technology, Production and Industrial
2007 — 2012
Skills
- Artificial Intelligence
- Machine Learning
- Spring Mvc
- Cassandra
- Java
- J2ee 6
- Spring Framework
- Google Closure
- Websphere Application Server
- Javascript
- Jquery
- Ibm Db2
- Oracle Database
- Mysql
- Html
- Css
- Git
- Svn
- Junit
- Jpa
- Jsf
- C++
- Matlab
- Ajax
- Dwr
- Amazon Cloudfront
- Data Structures
- Agile Web Development
- Scalable Web Applications
- C
- Programming
- Maven
- Glassfish
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