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Alan Sajith

@alansajith

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Software Engineer Intern at AdaptLearn who designed an AI model architecture for student performance analysis.

India

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At AdaptLearn Innovations Pvt. Ltd, I designed an architecture for an AI model to retrieve knowledge from a Knowledge Base and analyze student performance on mock and self-learning tests. I also containerized, deployed, and managed cloud services, taking end-to-end ownership from requirements gathering to production deployment.

I developed CampusBid, integrating RESTful APIs for authentication, listings, bidding, and order management, and built an AI-powered workflow automation platform with multi-agent systems. I’m currently studying Computer Science specialized in AI at Netaji Subhas University of Technology.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

AdaptLearn Innovations Pvt. Ltd

May 2026 - Jul 2026 (2 months)

Containerized, deployed, and managed cloud services autonomously. Took end-to-end ownership of services from requirements to production deployment, and designed an architecture for an AI model to retrieve knowledge from a Knowledge Base to analyze student performance.

Docker Cloud Services AI Knowledge Base Architecture Design

Volunteer

Volship Fellowship (Volunteer for India)

May 2024 - Aug 2024 (3 months)

Coordinated with volunteers across multiple regions to execute community initiatives. Developed stakeholder communication, teamwork, and leadership skills through community engagement.

Communication Skills Teamwork Leadership Community Engagement

Education

Degrees, certifications, and relevant coursework

Netaji Subhas University of Technology

Bachelor of Technology, Computer Science

Activities and societies: Relevant Coursework: Data Structures and Algorithms (C++), Computer Networks, Operating Systems, Database Management Systems, Probability and Statistics, Mathematics, Artificial Intelligence, Machine Learning, System Design.

Pursuing a Bachelor of Technology in Computer Science with a specialization in AI, expected to graduate in May 2027.