Rohan Pudasaini

Architecting a full-featured CRM application from scratch using FastAPI, translating client requirements into scalable backend modules covering contact management, pipeline tracking, and activity logging. Designed normalized PostgreSQL schemas with SQLAlchemy ORM, implementing relationship models and query optimizations to support complex filtering and reporting across large datasets. Implemented RBAC and JWT-based authentication ensuring secure multi-tenant data isolation and role-specific API access.

Optimized PostgreSQL queries for 400,000+ transaction records, reducing execution time by 80% (5s to 1s) through indexing, query refactoring, and execution plan analysis. Architected and deployed scalable RESTful APIs using FastAPI and SQLAlchemy with RBAC and JWT authentication, serving 10,000+ daily active users. Grew onboarding flow test coverage from 40% to 90% using Pytest, reducing production bugs by 60% through comprehensive unit and integration test suites. Designed gRPC-based microservices architecture enabling real-time communication between a RASA intent recognition engine and fallback LLM services, configuring a 95%+ confidence threshold for intent routing in a production conversational system. Reduced Docker image size by 85% (10GB to 800MB) via multi-stage builds; established GitHub Actions CI/CD pipelines cutting deployment time by 70% across AWS and bare-metal infrastructure.

Designed and developed RESTful APIs using Python, FastAPI, and SQLAlchemy. Worked with relational databases like PostgreSQL to build scalable backend solutions. Containerized applications using Docker for efficient deployment. Initiated and led Python knowledge transfer sessions within the team to enhance collaboration and skill development. Conducted on-call discussions with clients to gather accurate requirements and ensure the delivery of tailored solutions. Currently working on a machine learning project with classification model.