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Full Stack Engineer with 2+ years in Node.js & Machine Learning.
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Priyanshu Samal is a Full-Stack AI Engineer with 2.25 years of experience, specializing in delivering AI-driven workflows and scalable MVP platforms. He has a strong background in backend development with Node.js and Express, database optimization, and implementing secure authentication systems. His expertise extends to microservices architecture, cloud deployment with AWS, and developing AI agents for document analysis and response generation.
Amity University, Gwalior
Bachelor of Technology · Computer Science
August 1, 2020 – June 30, 2024
Saturn.ai
Full-Stack / AI Engineer
November 1, 2025 – Present
India
BuildMVPFast Product Development Agency
Full-Stack / Backend Engineer (Contract)
October 1, 2024 – November 1, 2025
India
CodeAte with ACC
Backend Intern
May 1, 2023 – November 1, 2023
Gwalior, Madhya Pradesh, India
Destiny
June 27, 2026 – Present
Built an AI-powered itinerary generation pipeline using structured prompts, reducing manual trip planning effort by 70%. Integrated Google Maps API to provide location-aware recommendations and real-time routing data. Improved frontend performance by 40% using Vite optimizations and efficient state management.
View ProjectMicroBazaar
June 27, 2026 – Present
Architected a microservices-based backend by decomposing core business logic into independent services. Implemented asynchronous event-driven communication using RabbitMQ for scalable order processing. Reduced database load by 30% through Redis caching and optimized data access patterns. Containerized services using Docker and deployed them on AWS ECS for scalable infrastructure.
View ProjectCultural Fit Analysis
The candidate's experience across different companies (startup, product agency, internship) and personal projects demonstrates versatility and a proactive approach to learning and applying diverse technologies. The blend of full-stack and AI engineering roles aligns well with innovative and fast-paced environments. The focus on building MVPs and delivering end-to-end features suggests a strong fit for roles requiring ownership and impact.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a focus on delivering MVPs, optimizing performance, and improving operational efficiency for clients, indicating a results-oriented and adaptable work attitude. The ability to rapidly adopt new frameworks suggests strong learning agility. The project descriptions show initiative and problem-solving skills.