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Kavya Parmar

Kavya Parmar

Software Developer

Talent
LondonMember since April 25, 2026
PythonJavaScript (ES6+)DjangoDjango REST Framework (DRF)RESTful API DesignMicroservicesPostgreSQLDynamoDBTensorFlowScikit-learnNumpyCeleryRedisAsynchronous ProcessingEvent-Driven ArchitectureAWS EC2AWS S3AWS RDSAWS IAMAWS LambdaAWS SNSAWS SQSAWS API GatewayAWS SAMDockerLinuxCI/CDGitGCPReactJsNextJsHTML
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PythonJavaScript (ES6+)DjangoDjango REST Framework (DRF)RESTful API Design

About

Software engineer with 4+ years of experience building distributed systems and production-grade backend infrastructure using Python and JavaScript. Strong in data structures, algorithms, and system design, with a focus on scalable, high-performance systems. Experienced in event-driven architectures, asynchronous processing, and deploying microservices on AWS.

Experience

Software Developer at ADRTA Technologies Pvt. Ltd. (2025-06 – 2025-11)

Architected backend services for a high-security pharmaceutical platform and optimized database performance.

  • Architected backend services for a high-security pharmaceutical platform handling sensitive data and complex workflows.
  • Optimised PostgreSQL query performance and database functions, reducing latency by 60% for large-scale pharmaceutical audits.
  • Reduced API response time from ~800ms to ~120ms by eliminating N+1 queries and optimising joins.
  • Designed and deployed secure REST APIs used in production environments, ensuring 100% adherence to data integrity standards.
  • Containerised application modules using Docker and managed deployments via AWS, improving environment consistency and scaling efficiency.

Backend Developer at Logistic Infotech Pvt. Ltd. (2022-09 – 2024-12)

Engineered backend systems supporting high concurrency for 10,000+ active users with asynchronous processing and database optimization.

  • Engineered backend systems to support high concurrency and heavy data operations for 10,000+ active users.
  • Implemented asynchronous processing pipelines using Celery to offload long-running tasks, increasing main-thread responsiveness by 40%.
  • Refined API schema design and PostgreSQL query tuning, leading to a 35% improvement in data retrieval speeds.
  • Identified and resolved critical production bottlenecks, maintaining 99.9% system uptime during peak traffic periods.

Education

MSc in Information Technology – HN Shukla Group of Colleges

BSc in Information Technology – HN Shukla Group of Colleges

Skills

Software Developer

Reviews

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