Pawan Sharma — Software Engineer
Principal Software Engineer with 8+ years of experience building large-scale, low-latency distributed systems across fintech, travel, and networking domains. Currently working as an Architect at redBus, designing high-performance gRPC services and AI-driven ranking systems powering core search and discovery. I’ve built sub-millisecond inventory ranking pipelines, Redis-backed learning-to-rank systems, and agentic AI platforms enabling LLM-based applications across teams. Strong background in systems programming (C/C++, Golang), networking (ex-Cisco packet forwarding), and backend platforms (Kafka, Spark, Redis, Cassandra). Recently focusing on Agentic ecosystem, with active development on Google ADK and its memory layers, also enabling agents across different teams. I enjoy solving hard performance problems, designing scalable architectures, and mentoring engineers.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Fintech and AI-driven solutions.
Location: Bengaluru, Karnataka, India
Experience: 8 yrs 7 mos
Skills
- Distributed Systems
- Agentic Systems
- Node.js
- Networking
Career Highlights
- Expert in architecting low-latency distributed systems.
- Proven track record in AI-driven platform development.
- Strong mentoring skills with a focus on scalable architectures.
Work Experience
redBus
Principal Software Engineer (3 yrs 5 mos)
ShopSe
Senior Software Engineer (1 yr 3 mos)
ClearTax India
Software Engineer II (1 yr 8 mos)
Cisco
Software Engineer (2 yrs 3 mos)
VMock
Internship (2 mos)
Education
Btech at Indian Institute of Technology, Delhi