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Kartik Singh

@kartiksingh5

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Backend engineer at Ninternet improving production APIs and scaling backend services with AWS RDS and Redis.

India

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At Ninternet, I took ownership of the backend platform and improved production APIs by redesigning business logic, database interactions, and request workflows. I also enhanced database connection management, session handling, and authentication workflows using AWS RDS and Redis.

At Scry ai, I developed Python and FASTAPI pipelines for financial document processing, transaction data extraction, and validation. Earlier, at Almug Technologies, I built financial data ingestion and normalization pipelines and a validation service for the FACTSTREAM platform; at Amazon, I developed AWS Lambda workflows for data ingestion and event-driven processing.

Experience

Work history, roles, and key accomplishments

Current

Lead Backend Engineer

Current

Ninternet

Jun 2026 - Present (3 months)

Owned the backend platform, leading design, implementation, and maintenance of production services and APIs. Optimized critical API endpoints and improved production reliability and scalability.

AWS RDS Redis API Optimization System Scalability Production Reliability AWS RDS Backend Development

Software Engineer L2

Scry AI

Apr 2022 - Feb 2026 (3 years 10 months)

Developed scalable FASTAPI-based backend pipelines for high-volume financial document processing. Built workflow orchestration and validation services to improve data quality and system reliability.

Python fastAPI PostgreSQL Workflow Orchestration Data Pipelines Distributed Systems System Scalability Validation

Software Engineer

Almug Technologies

Sep 2020 - Oct 2021 (1 year 1 month)

Designed and implemented Python data ingestion pipelines for financial statements using OCR. Built validation frameworks and automated regression testing to ensure data integrity and reduce production errors.

Python fastAPI PostgreSQL OCR ETL Data Pipelines Validation Regression Testing Data Normalization

Software Development Engineer Intern

Amazon

Jan 2020 - Jul 2020 (6 months)

Developed scalable data ingestion workflows using AWS Lambda and headless browser automation. Designed event-driven processing systems with AWS Step Functions and SQS.

AWS Lambda Step Functions Amazon SQS Event Driven Architecture Data Ingestion Automation AWS Step Functions Headless Browsers