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Arjun Singh

@arjunsingh8

Software Engineer at Avnet integrating Gemini and LLMs into enterprise workflows to automate data extraction.

At Avnet, I engineer backend services for AI-powered enterprise applications, integrating Gemini and LLM APIs to automate data extraction and reduce manual processing. I also work on REST APIs, data validation, and Salesforce integrations.

At Cognizant Technology Solutions, I developed the backend for Scanning Application, combining Google Vision text detection with Gemini 2.5 Flash to extract business card data into a standardized JSON schema. Earlier, at Infinite Infolab, I optimized Python REST APIs and developed secure authentication services.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Avnet

Feb 2026 - Present (8 months)

Engineered scalable backend services using JavaScript, REST APIs, and JSON to support AI-powered enterprise applications, improving data-processing scalability by 30%. Integrated Generative AI, Gemini, and LLM APIs into backend workflows, reducing manual data-processing effort by 40%.

JavaScript REST APIs JSON Generative AI Gemini LLM Microservices Salesforce CRM Integration Data Synchronization JSON schema Data Validation

Software Engineer

Cognizant Technology Solutions

Nov 2022 - Aug 2024 (1 year 9 months)

Architected and developed the scalable backend for an AI-driven business card digitization application, automating extraction and synchronization of card data into enterprise CRM systems. Upgraded legacy parsing logic to an OCR+LLM hybrid architecture using Google Vision and Gemini 2.5 Flash.

Python NodeJS Google Cloud Platform Gemini Google Vision OCR LLM Prompt Engineering Salesforce REST APIs JSON Microservices

Junior Software Engineer

Infinite Infolab

Jan 2021 - Oct 2022 (1 year 9 months)

Developed secure authentication and authorization services using JWT and RBAC, protecting 10K+ daily API requests. Optimized Python-based REST API response times by 41% and containerized microservices with Docker and Kubernetes.