Experience

Boxwish Media LLP / Spiritzone

Consultant - Data Engineering

2021-12 · Present
Real-time Order Assignment & Dispatch System
PythonFastAPICelery
  • Designed asynchronous real-time order assignment system for dynamic batching and delivery partner allocation
  • Handled 30+ orders per minute per instance with real-time agent discovery
  • Built Celery + Redis workflows with centralized logging and production-grade reliability
Order ETA Prediction Service
FastAPITensorFlowMLflow
  • Built stateless ML service for real-time delivery ETA prediction
  • Designed feature pipelines using historical and real-time signals
  • Improved ETA accuracy by 75% using geofence-based caching
Agent-based SKU Onboarding & Validation Pipeline
LangChainFastAPIRedis
  • Built LLM-based agent pipeline for SKU onboarding and validation
  • Added observability across validation stages
  • Reduced manual effort by 16–20 hours/week
Platform Reliability & Engineering Practices
  • Introduced centralized logging and structured error reporting
  • Achieved 80–90%+ test coverage using Pytest
  • Performed load testing using Locust

Quosphere Infosolutions Pvt. Ltd.

Junior Data Scientist

2020-07 · 2021-12
Spiritzone Product Recommendation System
PythonFlaskCollaborative Filtering
  • Built hybrid recommendation system using user behavior
  • Implemented incremental training pipelines
  • Exposed recommendations via stateless services
Market Basket Analysis Service
PythonFastAPIApriori
  • Developed frequent item association service
  • Automated daily retraining and deployment
  • Achieved 90%+ test coverage
Clickstream Data Analytics Pipeline
Azure Data ExplorerPythonGrafana
  • Built scalable ingestion pipeline for event data
  • Implemented scheduling and monitoring
  • Handled variable data rates without data loss