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Abhishek Anand

@abhishekanand3

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Full-stack/Backend Engineer with expertise in scalable systems.

India

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What I'm looking for

I am looking for a role that fosters innovation, teamwork, and offers opportunities for professional growth.

I am a Full-stack/Backend Engineer with 5 years of experience in designing scalable APIs, microservices, and real-time systems. My proficiency in technologies such as Node.js, TypeScript, and Python, combined with cloud-native tools like AWS Lambda and Docker, has enabled me to deliver high-performance solutions that meet client needs effectively.

Throughout my career, I have successfully led engineering teams and delivered major client projects on time. My recent role as a Senior Software Developer at W3Villa Technologies allowed me to design and deploy microservices that reduced latency by 30% and built a live quiz platform that increased user engagement by 40%. I am passionate about leveraging technology to create impactful solutions and continuously seek opportunities for growth and innovation.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Developer

Current

W3Villa Technologies

Nov 2022 - Present (2 years 8 months)

Designed and deployed microservices for distributed real-time systems, reducing latency by 30%. Led a team of 5 engineers to deliver 3 major client projects with 100% on-time delivery.

TypeScript Microservices Event Driven Architecture

Software Engineer

Digital Trons

Oct 2021 - Present (3 years 9 months)

Developed scalable REST and GraphQL APIs in Node.js and TypeScript, enabling 3x faster feature rollouts. Implemented serverless backends using AWS Lambda and MongoDB, reducing infrastructure costs by 40%.

Node TypeScript REST APIs GraphQL AWS Lambda MongoDB Python Airtable OneSignal

Junior Software Developer

Cliffex Software Solutions

Dec 2020 - Present (4 years 7 months)

Built REST APIs for production systems using Node.js, improving response times by 20%. Designed schemas for MongoDB, MySQL, PostgreSQL, reducing DB latency by 35%.