Ekaansh Sahni

• Developed distributed, microservices-based fraud detection platform using Python, Docker, and Nginx for real-time anomaly detection in banking systems.
• Managed end-to-end DevOps by orchestrating containers with Docker and executing blue/green deployments.
• Implemented compliance-driven controls with monitoring stacks to ensure security and high availability.
• Collaborated with frontend, AI, and data science teams to refine requirements and optimize performance.
• Mentored junior backend engineers through code reviews and paired programming to elevate team standards.

Collaborated with CRM team to deliver internal features for agents and B2B Partner Portal using Next.js.

Acquired extensive familiarity with Agile methodologies in product development.

Implemented fraud alerts, integrated OCR via Nanonets, and developed KYC, Blacklist, Address Management with geocoding, and Retailer Dashboards in Django and React.js.

Created microservice with FastAPI utilizing Python NLP libraries for parsing duplicate addresses, reducing production load.

• Assisted senior engineers in transforming operational requirements into technical specifications.
• Conducted root cause analyses to resolve defects and fix production issues.
• Leveraged Docker for code deployment, ensuring reliable execution across varied environments.
• Utilized Python libraries for data analysis to identify fraudulent activities, mitigating fraud effectively.