Headline

Backend Engineer · ~4 YOE | Java · Go · Kafka · Spring Boot | Distributed Systems & LLM Platform Infra

About

I design and scale distributed backend systems — event-driven pipelines, multi-tenant platform services, and ML/LLM infrastructure. Currently at Locus as SDE 2, previously built ML platform infra at Tekion Corp and owned the Ferry Booking vertical at Tiket.com (serving millions of users). Core strengths: high-throughput systems, observability, async architectures, and end-to-end ownership from design to production. LeetCode Top 2% globally (rating 2152) | Open to backend, platform, and infra engineering roles.

Location

Bengaluru

AI stack

claude code

claude

cursor

gemini

opencode

claudecode

Work experience

SDE 2 at Locus, Dec 2025 - Present · 9 mos, Bengaluru, Karnataka, India, Working on core backend platform infrastructure, focused on reliability, observability, and data scalability across distributed microservices. Key Contribution: • Drove org-wide JDK 24 → 25 migration across 10+ microservices via staged rollouts and compatibility gates, achieving zero-downtime deployment with measurable runtime performance and maintainability gains. • Re-architected observability stack with OpenTelemetry — resolved cardinality explosion, fixed delta/cumulative temporality drift in Victoria Traces, and tuned sampling under 3× production load; cut monitoring cost without sacrificing signal fidelity. • Engineered hot/cold data tiering retaining 1 year of records in hot storage via PostgreSQL partial indexes and pg_cron; eliminated index bloat, enforced per-tenant RBAC isolation, and improved high-frequency query throughput significantly. • Embedded Databricks analytics dashboards into the Locus platform with fully CI/CD-driven provisioning via Databricks Asset Bundles and GitHub Actions — gave product teams self-serve analytics and eliminated all manual deployment overhead.

Machine Learning Engineer at Tekion Corp, Jul 2024 - Nov 2025 · 1 yr 5 mos, Bengaluru, Karnataka, India, Part of the ML Platform team, building and scaling backend services that power real-time LLM inference and AI-driven CRM features. Key Contributions: • Architected an event-driven Kafka pipeline for real-time ingestion of dealer-customer call recordings — decoupled transcription, summarization, and intent-extraction stages, enabling independent scaling and eliminating backpressure during burst traffic. • Developed AI communication pipelines on Azure OpenAI to auto-summarize call transcripts and generate personalized outreach emails; reduced email generation latency by 50% with per-dealer prompt customization at scale. • Established a Prompt Configuration Platform for LLM routing with per-tenant quota enforcement and traffic shaping; maintained SLA adherence under high-volume concurrent workloads without manual intervention.

Software Engineer at tiket.com, Jul 2022 - Jul 2024 · 2 yrs 1 mo, Noida, Uttar Pradesh, India, Worked on the Post-Order platform, owning microservices across multiple travel verticals including Flights, Hotels, Trains, Ferry, and more. Key Contributions: • Owned end-to-end delivery of the Ferry Booking vertical — led system design, backend development, and cross-team integration across payments, inventory, and notifications; shipped a net-new booking line serving millions of users. • Optimized Order Management APIs via query profiling, selective indexing, and caching — cut P95 latency by 50%; rebuilt Discount Engine Elasticsearch queries using filter context and reduced aggregation depth, dropping query volume by 50% and P99 latency by 40%. • Engineered a Go microservice from scratch using Domain-Driven Design (bounded contexts) for frontend APIs and CRM integrations; drove test coverage to 98% via SonarQube gates and delivered a plugin-based Admin Dashboard 3.0, cutting vertical onboarding time by 3×. • Migrated microservices from Java to Golang, contributing to improved system performance and scalability; developed a custom Sentry integration library in Go for efficient error monitoring and observability across services. • Integrated Grafana Hawkeye to monitor latencies across inbound and outbound microservice calls, improving system-wide observability.

Education

Bachelor of Technology - BTech, Information Technology, Bundelkhand Institute of Engineering and Technology, Jhansi

Public links

github: https://github.com/shubham1908

leetcode: https://leetcode.com/gabbar9081

codeforces: https://codeforces.com/profile/shubh1908