MMS

MD MUNTAZEEM SARADGI

Fullstack Engineer

https://talent.gravityer.com/md-muntazeem-saradgi-6666331

Fullstack Engineer with less than a year in MERN Stack & AI Applications

Key Strengths

Strong proficiency in MERN stack development (React.js, Node.js, Express.js, MongoDB).
Demonstrated ability to integrate AI/GenAI capabilities (Google Gemini API) into full-stack applications.
Experience in designing and securing RESTful APIs with JWT-based authentication and role-based access control.
Proven ability to optimize frontend performance using techniques like lazy loading and memoization.
Practical experience with deployment workflows (Vercel, Render) and CI/CD concepts.

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

Results-driven Full Stack Developer with 9 months of professional experience building scalable, production-grade web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Proven ability to design RESTful APIs, implement JWT-based authentication, and integrate AI/GenAI capabilities (Google Gemini API) into full-stack applications. Strong foundation in Data Structures & Algorithms, clean code standards, and Agile development workflows. Seeking a Software Engineer or MERN Stack Developer role to drive impactful product development.

Top Skills

React.jsMongoDB

Education

PDA College of Engineering, Kalaburagi

B.E. · Information Science & Engineering

August 1, 2020 – June 30, 2024

Gurukul Independent PU College

12th Standard · Science

June 1, 2019 – May 31, 2020

New Noble Boys High School

10th Standard (SSLC)

N/A – May 31, 2018

Experience

Aroha Technologies

Software Developer Engineer

June 1, 2025 – Present

India

Projects

AI Interview Preparation Platform

May 15, 2026 – Present

Built a full-stack AI-powered web application that analyzes resumes, job descriptions, and self-descriptions to generate personalized interview strategies Integrated Google Gemini API to produce match scores, technical & behavioral interview questions, skill gap analysis, and a day-wise preparation roadmap Implemented PDF resume generation using Puppeteer and resume text extraction using pdf-parse for seamless file upload workflows Secured application with JWT-based authentication; validated AI responses using Zod schema to prevent malformed data from entering MongoDB Deployed frontend on Vercel and backend on Render; live at: interviewprep-gen-ai.vercel.app

View Project

Taskify - Task Management System

May 15, 2026 – Present

Developed a full-stack personal task management application with CRUD operations, status filtering, and priority categorization Implemented JWT-based authentication, Mongoose schemas with validation, and secure REST API endpoints with role-based access control Built responsive UI using React.js and Tailwind CSS with clean component architecture and Redux for global state management

View Project

Key Strengths

Strong proficiency in MERN stack development (React.js, Node.js, Express.js, MongoDB).
Demonstrated ability to integrate AI/GenAI capabilities (Google Gemini API) into full-stack applications.
Experience in designing and securing RESTful APIs with JWT-based authentication and role-based access control.
Proven ability to optimize frontend performance using techniques like lazy loading and memoization.
Practical experience with deployment workflows (Vercel, Render) and CI/CD concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate exhibits strong initiative and a passion for technology through their diverse personal projects, including an AI-powered platform. Their experience highlights collaboration in an Agile environment, suggesting a team-oriented and adaptable mindset. This proactive approach and willingness to engage with new technologies align well with a dynamic and innovative team culture.

Soft Skills & Operational Fit

The candidate demonstrates strong analytical and problem-solving skills, is a quick learner, and is adaptable to new technologies. They are committed to clean, maintainable code and are familiar with Agile/Scrum workflows and collaborative team development, indicating a good operational fit for a modern engineering team.