
Dakshith N
About
Senior Full Stack Developer
Social Media:
Skills
AWS
Django
Flask
Javascript
Node.js
Python
React Native
React.js
TypeScript
Open for
cofounder
fulltime
Work Experience
Limendo
2022-06 - 2026-02
Senior Full Stack Developer
India
fulltime
• Architecture & Performance: Engineered a high-availability backend for a German & Austrian POS solution using Django and FastAPI. Optimized PostgreSQL query logic and schema indexing, resulting in a 35% increase in transaction speed during peak retail hours. • Modern Infrastructure: Spearheaded the migration from a monolithic structure to Docker-based microservices. Implemented Redis for caching and Celery for asynchronous task processing, reducing system latency by 40%. • Scalable Full-Stack Delivery: Developed data-heavy dashboards for the Yodalytics platform using Node.js (NestJS) and ReactJS with Tailwind CSS and Shadcn, improving real-time data visualization and increasing user engagement by 20%. • DevOps Excellence: Established robust GitLab CI/CD pipelines for automated testing and deployment to AWS (EC2, S3, RDS), ensuring 99.9% uptime and reducing manual deployment effort by 60%.
Financepeer
2021-09 - 2022-03
Technology Lead
India
fulltime
• Engineering Leadership: Directed a team of 8 developers in building a complex SaaS ecosystem. Architected the "UVA" prepaid card system using Python, and Node.js, scaling the platform to handle 100k+ monthly transactions. • API & Integration: Designed and implemented a GraphQL API layer to unify data fetching across mobile and web platforms, reducing frontend data overhead by 30%.
Pacewisdom Solutions
2017-07 - 2021-06
Software Engineer
India
fulltime
• Diverse T ech Delivery: Engineered end-to-end full-stack solutions for high- profile EU/US clients using Python (Flask) and Node.js. Successfully led the modernization of legacy service modules by transitioning them into high- performance TypeScript and Node.js services, improving execution speed by 40%. • Monitoring & Reliability: Integrated Grafana and custom SQL-based monitoring dashboards to provide real-time system health insights, leading to a 50% faster incident response time and increased system reliability. • Database Architecture: Managed large-scale data migrations between MySQL and MongoDB. Designed optimized storage schemas that supported high- concurrency environments for healthcare data management.