Headline

Software Engineer @ Oracle Cloud Infrastructure | 2+ YOE | Distributed Systems | Java | Python | Golang | Spring Boot | Kafka | Redis | System Design | Agentic AI | RAG | Fast API

About

I build distributed backend systems that handle real load — high QPS, multi-region deployments, and zero tolerance for downtime. 💡 Competitive Programming: LeetCode Max Rating: 1900+ | Codeforces Specialist | CodeChef 4-Star. At Oracle Cloud Infrastructure, I own backend systems for Network Firewall serving enterprise customers globally. In the past two years: → Cut p99 latency ~40% and throughput ~30% via database sharding and adaptive retry mechanisms (Java, OCI APIs) → Improved metrics/logging pipeline latency from ~2s to ~200ms using parallel processing and safe concurrency → Eliminated 20–30 Sev-2 production incidents annually by identifying and fixing systemic architectural bottlenecks → Led zero-downtime OS migrations and large-scale data backfills in live production environments → Reduced a 14-day security update cycle to ~24 hours through automated pipeline design I work across the full backend lifecycle — system design, REST API development, observability (Prometheus, Grafana), incident response, and production rollouts. Tech stack: Java, Python, Golang, Spring Boot, C++ , Terraform, Kubernetes , Docker , Redis , Kafka , MySQL, OCI cloud APIs I care about systems that hold up under pressure and degrade gracefully when they don't. Open to backend infrastructure, and distributed systems roles where scale is a first-class concern. Portfolio → https://prajal-portfolio.netlify.app/ Phone - +918619835275 Email - singhalprajalkumar@gmail.com

Location

Bengaluru

AI stack

antigravity

codex

opencode

Work experience

Member of Technical Staff 1 at Oracle, May 2024 - Present · 2 yrs 4 mos, Bengaluru, Designed and scaled backend systems enabling multi-region onboarding for Network Firewall with zero downtime Architected database sharding and adaptive retry mechanisms, reducing p99 latency by ~40% and increasing throughput by ~30% Redesigned logging and metrics ingestion pipelines, improving latency from ~2s to ~200ms Built multi-threaded data migration frameworks, reducing migration time by ~40% while ensuring consistency Automated antivirus and security update workflows, cutting turnaround time from ~14 days to ~24 hours Developed API canaries for early regression detection, improving release reliability Led root cause analysis and fixes for production issues, eliminating 20–30 recurring high-severity incidents annually Executed zero-downtime OS migration and optimized memory usage, reducing infra costs

SDE INTERN at Oracle, May 2023 - Jul 2023 · 3 mos, Bengaluru, Built scalable annotation review tooling for ML datasets Designed pluggable pre/post-processing frameworks improving data quality and reducing errors Improved dataset readiness and reduced manual validation effort

Software Developer at Spider R&D, Sep 2021 - Mar 2023 · 1 yr 7 mos, On-site

Education

Bachelor of Engineering - BE, Computer Science, National Institute of Technology, Tiruchirappalli