AADESH JAIN

Full Stack Engineer

https://talent.gravityer.com/aadesh-jain

Full Stack Engineer with less than a year in Next.js, Node.js & AI Integration

Key Strengths

Proficiency in modern full-stack technologies including Next.js, Node.js, React.js, and Express.js.
Demonstrated ability to design and implement complex features such as Role-Based Access Control (RBAC) and JWT authentication.
Experience with diverse database technologies including PostgreSQL, MongoDB, and Neo4j (graph modeling).
Practical application of AI/LLM integration for advanced features like static code analysis and generating engineering feedback.
Strong problem-solving skills evidenced by AST-based analysis for code quality and debugging production issues.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Full-Stack Software Engineer with hands-on experience building scalable web applications and backend systems using Next.js, Node.js and REST APIs. Experienced in designing authentication, role-based access control, and multi-tenant SaaS workflows. Recently working on Al-assisted developer tooling involving static code analysis and LLM-based reasoning to generate automated engineering feedback. Strong problem-solving mindset with solid understanding of data structures, API design, and system workflows.

Top Skills

HTML5Express.JsMongoDBNext.Js

Education

VIT, BHOPAL

B.Tech · Computer Science & Engineering

August 1, 2021 – June 30, 2025

CITY CENTRAL SCHOOL

12TH Grade (C.B.S.E)

June 1, 2020 – May 31, 2021

CITY CENTRAL SCHOOL

10TH Grade (C.B.S.E)

June 1, 2018 – May 31, 2019

Experience

DVIKA NEXT-GEN

Full Stack Developer

October 1, 2025 – Present

India

Projects

StackAudit AI — AI-Powered Code Quality & Risk Analysis Platform

May 20, 2026 – Present

Built an AI-assisted static code analysis platform that evaluates source code for maintainability and production risk. Implemented AST-based analysis to detect long functions, nested loops, TODOs and structural complexity. Designed rule-based scoring engine to compute Tech Debt Score and Production Risk Score. Integrated LLM API (Gemini) to generate structured engineering feedback and optimization suggestions. Developed interactive dashboard to visualize code metrics and AI-generated reports. Tech Stack: Next.js, Node.js API Routes, PostgreSQL, Prisma, Babel Parser, LLM API.

View Project

Food Gyan — Recipe & Nutrition Management System

May 20, 2026 – Present

Developed a secure full-stack application with JWT-based authentication and protected user workflows. Modeled complex user-recipe relationships using Neo4j graph database and Cypher queries. Designed RESTful APIs using Express.js and connected them to React frontend for dynamic interaction. Implemented CRUD operations and optimized relationship-based data retrieval. Tech Stack: React.js, Node.js, Express.js, Neo4j, JWT, REST APIs.

Certifications

Frontend Web Development with React.js

Udemy

May 1, 2026 – Present

Key Strengths

Proficiency in modern full-stack technologies including Next.js, Node.js, React.js, and Express.js.
Demonstrated ability to design and implement complex features such as Role-Based Access Control (RBAC) and JWT authentication.
Experience with diverse database technologies including PostgreSQL, MongoDB, and Neo4j (graph modeling).
Practical application of AI/LLM integration for advanced features like static code analysis and generating engineering feedback.
Strong problem-solving skills evidenced by AST-based analysis for code quality and debugging production issues.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate exhibits excellent alignment with a Full Stack Engineer role, showcasing a comprehensive skill set across frontend, backend, and databases. They demonstrate a strong passion for technology and continuous learning through diverse and complex personal projects, including cutting-edge AI integration. The breadth of technologies explored suggests adaptability and a willingness to tackle new challenges, indicating a strong cultural fit for an innovative team.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving and analytical skills through complex project implementations and debugging. They are proactive and self-driven, evidenced by extensive personal projects and continuous learning. Attention to detail is apparent in AST-based analysis for code quality, and the ability to integrate various APIs and services indicates good operational understanding.