Headline

Backend Engineer | Cut API latency 10x & reduced DB calls 82% in production | Go · Distributed Systems · System Design · Microservices

About

Most backend systems don't break under normal load — they break at 3 AM, under 1000x traffic, with a queue backing up and no one knowing why. I've seen it firsthand: APIs that crawl because every request hammers the DB 50 times. Auth logic copy-pasted across 10 services, each a silent security liability. Debugging production fires with nothing but hope and console logs. These aren't edge cases — they're what happens when systems are built fast without being built right. So I started fixing them. Over 2.5 years across logistics and SaaS products, I've reduced a Serviceability & Pricing API from 50+ DB calls per pair to 11 total for 1000+ pairs — cutting response time from 3s (linear) to 2.5s (near-constant). I rebuilt authentication from scattered logic into a centralized JWT microservice serving 10+ backend services. I introduced observability from scratch — structured logging, CloudWatch, OpenTelemetry — and cut production debugging time by 35%. My stack is Go and Node.js. My obsession is systems that scale without drama. I don't just write code that passes review. I ask why the schema is designed this way, where the bottleneck will appear at 10x load, and whether the abstraction will survive the next engineer who touches it. If you're building a backend team that takes performance and reliability seriously — and you want an engineer who owns problems end-to-end, not just closes tickets — let's talk. 📩 akshatjain58838@gmail.com | linkedin.com/in/akshat2402

Location

Gurugram

Work experience

SDE at NimbusPost, May 2025 - Present · 1 yr 3 mos, Gurugram, • Eliminated DB query bottleneck in Serviceability & Pricing APIs by redesigning the data access layer with in-memory caching and goroutine-based parallel processing, reducing calls from 50+ per OD pair to a fixed 11 total across 1000+ pairs and cutting response time from 3s (linear scaling) to 2.5s (near-constant scaling). • Centralized authentication across 10+ backend services by architecting and shipping a standalone JWT-based Auth microservice from scratch, eliminating duplicated auth logic and reducing the attack surface for security vulnerabilities system-wide. • Improved delivery success rates by 15% by designing a Smart Allocation engine that dynamically ranks and selects couriers based on seller preferences, directly reducing fulfillment costs for sellers and improving end-customer experience. • Accelerated frontend-backend integration cycles by collaborating directly with the frontend team on API contracts and response design, while simultaneously mentoring 3 interns through code reviews, debugging sessions, and backend best practices. • Expanded payment infrastructure coverage by integrating multiple payment gateways (BillDesk, EaseBuzz) into the existing payments microservice, enabling broader payment optionality for sellers without disrupting existing flows. • Cut production debugging time by 35% by introducing structured, meaningful logging across the system, exporting logs to CloudWatch, and instrumenting the codebase with CubeAPM using OpenTelemetry for full metrics, traces, and log visibility.

Associate Software Engineer at Maropost, Jan 2023 - Jun 2024 · 1 yr 6 mos, Mohali district, • Improved API response times by 15% by profiling and optimizing high-traffic endpoints, directly reducing latency for end users and decreasing server load during peak usage periods. • Reduced database query execution time by 20% by auditing and refactoring inefficient ORM queries and introducing targeted indexing strategies, improving overall system throughput across PostgreSQL and MySQL databases. • Accelerated feature delivery across multiple product areas by working cross-functionally with product and engineering teams to scope, design, and ship new capabilities within Agile sprint cycles. • Raised codebase quality and maintainability by actively participating in code reviews, leading bug fix initiatives, and refactoring legacy modules in Ruby on Rails and Go — reducing technical debt and improving onboarding time for new engineers.

Education

Bachelor of Technology - BTech, Computer Science, Kurukshetra university