AKSHAY JAIN

• Leading a team of 5 engineers to deliver backend systems for 30+ enterprise retail analytics.
• Designed and maintained 200+ REST APIs for key modules, ensuring modularity, reusability, and performance.
• Architected and implemented scalable database schemas with triggers and optimized stored procedures to improve performance upto 3x as well.
• Built real-time features (e.g., commenting, notifications) using WebSockets and asynchronous workers
• Integrated enterprise-grade authentication using SSO and OAuth2.
• Implemented performance optimization on pivot response in BE using duckdb and parquet files enhancing speed by 5x.
• Deployed and maintained event-driven microservices using Google Cloud Functions and AWS Lambda.
• Have worked with Postgresql to write raw optimized queries for the retail features
• Integrated Elasticsearch as one of solutions to store and search logs of the more than 2000 services running across for all clients.
• Developed whole caching architecture of the company On Redis and in-memory cache to be used as decorator.

MONITORING APP DEV AND DEPLOYMENT

• Engineered a monitoring platform to track 20+ internal tools and microservices, using Django REST Framework and AWS services (Kinesis, Lambda, IAM).
• Integrated Prometheus, InfluxDB, and Grafana to deliver real-time dashboards and custom alerting pipelines.
• Reduced incident response time by 40% through visibility and real-time log analytics.
• Containerized and deployed the platform via Docker, enabling seamless migration between staging and production.

RECOMMENDATION ENGINE

• Developed a machine learning–based recommendation engine that processed 10,000+ learning records to personalize course suggestions.
• Increased employee engagement with internal LMS by ~25%, based on internal usage metrics.
• Evaluated multiple models (collaborative filtering, content-based) and implemented the best-fit solution for the data volume and use case.

UNIFIED BROADBAND TEST AUTOMATION FRAMEWORK

• Automated testing for over 15+ broadband device models (Cisco, Fortinet, etc.) using Python, Selenium, and Robot Framework.
• Delivered a fully automated test suite that reduced manual QA effort by 90%, enabling zero-touch regression cycles.
• Built multi-vendor compatibility support, enhancing coverage across clients and accelerating time to delivery.
• Improved test execution speed by 3x through reusable scripting components and parallelization.