Aryan Pareek

Full Stack Engineer with less than a year in React.js, Node.js, and AWS

Jaypee University of Engineering and Technology

India

Since April 24, 2026

About

Aspiring Full Stack Developer skilled in JavaScript (ES6), React.js, Node.js, Express.js, RESTful APIs, PostgreSQL, MongoDB, and AWS. Experienced in building scalable SaaS platforms and startup directories, automating continuous integration and deployments, and collaborating effectively within cross-functional Agile teams. Proven ability to deliver secure, high-performance web applications and optimized user experiences.

Top Skills

Next.JsExpress.JsPython

Skills

PythonC++SQLHTML5Css3React.jsNext.JsNode.JsExpress.JsBootstrapTailwind CssPostgresqlMongoDBMysqlGitGithubPostmanAWSRestful ApisMvc

Education

Jaypee University of Engineering and Technology

Bachelor of Technology · Computer Science Engineering

August 1, 2022 – June 30, 2026

Vidyashram Public School

Class XII and X

June 1, 2020 – May 31, 2022

Experience

Kalibre Global Konnects Pvt. Ltd.

(Remote)

May 1, 2025 – July 31, 2025

Projects

QuickAl - SaaS Platform

June 1, 2025 – July 31, 2025

Engineered SaaS platform using PERN stack serving 200+ active users across 15+ client organizations. Optimized database queries by 40%, supporting 500+ concurrent users with sub-200ms latency. Integrated secure APIs with JWT auth, Stripe billing ($10K+ monthly), and 3-tier access control. Automated CI/CD pipeline reducing deployment time by 60% and deployed on Vercel cloud platform achieving 99.8% uptime. Designed responsive interface with React and Tailwind CSS increasing user signups by 35% and reducing bounce rate by 25%.

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Spotify-Hybrid-Recommender

May 1, 2025 – June 30, 2025

Engineered a hybrid Spotify recommender combining ALS collaborative filtering with content-based audio-feature embeddings. Built an ETL pipeline to ingest Spotify API data, clean/normalize audio and metadata, and produce user-item matrices and embeddings. Trained and tuned collaborative and embedding models; evaluated ranking with MAP and NDCG using cross-validation. Containerized the recommendation service, exposed REST inference endpoints.

View Project

Certifications

Internship Certificate

Kalibre Global Konnects Pvt. Ltd.

July 1, 2025 – Present

Key Strengths

Demonstrated experience with full-stack development using PERN and MERN stacks (React, Node.js, Express.js, PostgreSQL, MongoDB).
Proven ability to optimize database queries and handle concurrent users, as evidenced by the QuickAl project.
Experience with secure API integration, including JWT authentication, role-based access control, and third-party payment gateways like Stripe.
Proficiency in implementing CI/CD pipelines, managing source control (GitHub), and deploying applications on cloud platforms (Vercel, AWS).
Exposure to data engineering and machine learning concepts through the Spotify-Hybrid-Recommender project, including ETL pipelines and model evaluation.
Ability to design responsive user interfaces and improve user engagement metrics.
Internship experience includes developing RESTful APIs, implementing ticket management features, and monitoring application performance.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a major red flag for cultural fit. It directly indicates severe deficiencies in areas crucial for team collaboration, work ethic, and adaptability, making the candidate a high risk for integration into a professional team environment.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated experience with full-stack development using PERN and MERN stacks (React, Node.js, Express.js, PostgreSQL, MongoDB).
Proven ability to optimize database queries and handle concurrent users, as evidenced by the QuickAl project.
Experience with secure API integration, including JWT authentication, role-based access control, and third-party payment gateways like Stripe.
Proficiency in implementing CI/CD pipelines, managing source control (GitHub), and deploying applications on cloud platforms (Vercel, AWS).
Exposure to data engineering and machine learning concepts through the Spotify-Hybrid-Recommender project, including ETL pipelines and model evaluation.
Ability to design responsive user interfaces and improve user engagement metrics.
Internship experience includes developing RESTful APIs, implementing ticket management features, and monitoring application performance.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit