Ayush Kapri

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Key Highlights

Expert in designing secure, scalable systems.
Proven track record in zero-downtime migrations.
Strong focus on compliance and observability.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

Contact

Skills

Core Skills

Software DesignGoDatabase Management System (dbms)

Other Skills

PythonAWSDocker ProductsPgBouncerDatadogAmazon Web Services (AWS)Machine LearningOperating SystemsComputer NetworkingObject-Oriented Programming (OOP)DjangogunicornSystems DesignLLDLow-Level Design

About

Graduated with a BTech in Computer Science from Graphic Era Hill University, this professional is currently contributing as a Senior Software Engineer at Swiggy. They specialize in designing and implementing secure, scalable systems, with core competencies in Go, Python, and software design. Recent projects included orchestrating zero-downtime migrations, enhancing region-sharded database performance, and designing a zero-trust vault platform for PII compliance. At JULO, I partnered with teams to optimize system latency and strengthen security middleware, ensuring robust and efficient service delivery. Their work reflects a commitment to scalable architecture and a focus on compliance and observability. Motivated by a collaborative approach, they bring innovative solutions to organizations aiming to scale operations while maintaining security and reliability.

Experience

4 yrs 3 mos

Total Experience

1 yr 9 mos

Average Tenure

8 mos

Current Experience

Swiggy

SDE-II

Sep 2025 – Present · 8 mos · Bangalore · Remote

GoPythonSoftware DesignAWSDocker Products

Julo

Senior Software Engineer

Aug 2023 – Sep 2025 · 2 yrs 1 mo · Jakarta, Indonesia · Remote

1. Zero-downtime migration (Ali → GCP): Orchestrated Celery/NSQ data pipelines; cut downtime to 0 % and added live Grafana observability.
2. Region-sharded Postgres: Implemented partitioning + PgBouncer pooling, boosting throughput 50 % and scaling to ≈1 B req/day.
3. Security middle-ware: Replaced trust-based calls with policy-enforced validation, hardening all services.
4. Central vault & vault-service: Designed a zero-trust, AES-256 vault platform and a Go-based micro-service that exposes low-latency (≈100 ms) encrypt/decrypt APIs for 5 databases / 200 tables, ensuring full PII compliance.
5. Latency tuning: Introduced Datadog APM + profiling; slashed vault-service P95 latency from >30 ms to 1.6 ms.

Docker ProductsPgBouncerDatadogGoPythonDatabase Management System (DBMS)

Amd

Software Engineer

Feb 2022 – Aug 2023 · 1 yr 6 mos · On-site

1. Claim-based RBAC: Built a custom JWT-verifier in the edge gateway that injects scoped claims into gRPC metadata, removing per-service ACL checks and doubling auth throughput.
2. Parallel validation pipeline: Re-wrote the nightly validator as a multiprocessing.Pool job; wall-clock time and error rate both fell ≈ 30 %.
3. Gateway latency tuning: Added compound indexes, connection pooling and asyncio handlers; median API latency improved 20 %.
4. Account lock/unlock + abuse guard: Introduced a Redis-backed lock service and rate-limiting middleware, cutting abuse incidents 70 % while maintaining 99.99 % availability.