SDE-1, Backend - GoKwik - Bengaluru, India
(2025-08)
- Architected an asynchronous, lossless media-compression pipeline (S3 → SQS → Lambda) in a dedicated kc-media-processor service with idempotency markers, DLQ-backed retries, and full metadata/header passthrough, compressing images post-upload with zero added upload-API latency and a >99% compression-success target on eligible files; later extended the same event-driven pattern to video.
- Designed and rolled out database-layer SQL-injection protection for ClickHouse-backed endpoints in kwikos-be through a centralized query-sanitization guard, shipped in phases (monitoring → detection → blocking), and reduced false positives to near-zero by analyzing 600+ production query patterns and exempting legitimate messaging payloads.
- Hardened WhatsApp message delivery against data-store failures with a durable DB-persistence path and a custom DBSaveError, so in-flight messages survive MongoDB outages with zero duplicate sends to customers, and filtered non-retryable errors (rate-limit, validation, opt-out) out of the DLQ retry loop to eliminate wasteful retries.
- Drove a production error analysis across 685K+ failed WhatsApp records, isolating ∼18% true system failures from ∼82% business-logic blocks, and fixed a phone-number validation defect responsible for 99.83% false-positive rejection of valid numbers, recovering large-scale message deliverability.
- Built PII-logging protection across backend services with field-level log encryption, redaction, and internal PII-access APIs, closing a third-party VAPT security finding while preserving log debuggability.
- Owned backend features end-to-end: the Mobile Push (FCM) notification backend (unified config schema and migration, send-message integration, cache invalidation) and WhatsApp carousel-template support in EventEngine automation flows (template builder and per-card variable transforms across BSP providers).
- Reduced Jenkins build times across the team's repositories by restructuring multi-stage Dockerfiles and dependency caching, and owned CI/CD releases to dev, sandbox, and production via Jenkins and ArgoCD with pod and application health/log monitoring.
- Served 3 on-call rotations (2 primary, 1 secondary), owning production incident response across all severities: resolved Sev-1 / Sev-2 issues within SLA with documented RCA and code fixes, and cleared Sev-3 / lower-priority tickets within their SLA windows via quick resolution or escalation; in one 16-day primary window closed 91 tickets (system alerts + merchant issues) at ∼99% closure with zero merchant-impacting outages and no SLA breaches, using SigNoz, CloudWatch, and MongoDB/ClickHouse cro
Software Engineer (Contractual Role) - Scale AI - Remote, US
(2023-12 - 2025-06)
- Developed and maintained full-stack web applications using React.js, Next.js, TypeScript, and Go, implementing SSR and API routes to improve performance by 22%.
- Built RESTful APIs using Node.js/Express and integrated third-party services, achieving 5/5 accuracy ratings in evaluation projects with API lifecycle management.
- Implemented responsive UI components with React hooks and context API, following modern frontend architecture principles and test-driven development.
- Created reusable component libraries and custom hooks, improving development efficiency across multiple projects while incorporating monitoring with DataDog.
- Optimized PostgreSQL database interactions to efficiently manage and query large datasets in distributed systems.
- Collaborated effectively with cross-functional teams across US time zones, demonstrating excellent remote work capabilities and production support.
Software Engineer - Samsung R&D Institute Bangalore - Bengaluru, India
(2023-03 - 2023-12)
- Introduced a React Web-Chat App for 10,000+ users, improving internal communication and user experience with API lifecycle strategies.
- Revamped backend infrastructure with Node.js, Socket.IO, Express, and Go, resulting in a 25% improvement in application performance.
- Led containerization and deployment of 15+ microservices using Docker and Kubernetes, attaining 98% service availability on AWS EKS clusters, efficiently handling 2x peak traffic volume with on-call rotation.
- Implemented robust deployment, replication, auto-healing, and auto-scaling strategies for Kubernetes clusters, leveraging Kong Gateway for API rate limiting and decreasing API latency by 15%.
- Enhanced application security by integrating Bcrypt, JWT, OAuth, and upgrading encryption with Libsodium, significantly reducing unauthorized access attempts and addressing security vulnerabilities in production environments.
Software Development Engineer Intern - Amazon - Bengaluru, India
(2022-01 - 2022-07)
- Optimized large-dataset (800TB-1.5PB) computation time using Python, Ray, React, TypeScript, and Go, significantly boosting service efficiency and scalability in distributed systems.
- Improved Data Quality Standards, achieving 13% monthly cost savings by streamlining calculations with Ray and enhancing data accessibility with Amazon DynamoDB and OpenTelemetry monitoring.
- Developed a React front-end to visualize Marketplace tables Data Quality statistics, improving decision-making with integrated observability tools.
