Ibrahim Shaikh

Ibrahim Shaikh

Full Stack Developer | React.js & Java (Spring Boot) | REST APIs, SQL | Web Application Development

Pune, IndiaSoftware Development
4roles
36skills
5education
5credentials

About

I am a Full Stack Web Developer focused on building fast, scalable, and user-centric web applications using modern frontend and backend technologies. I enjoy turning ideas into clean, functional products with strong performance, SEO, and maintainable code. I work across the full development lifecycle — from responsive UI development to backend logic, REST API integration, and database management. I also have hands-on experience with workflow automation and AI-powered tools to streamline repetitive tasks and improve efficiency. Alongside development, I have worked on freelance projects, collaborating with clients to solve real-world problems and deliver end-to-end web solutions for startups, creators, and small businesses. What I do: - Build modern, responsive web applications - Develop and integrate REST APIs - Optimize applications for performance, SEO, and scalability - Automate workflows and business processes - Deliver end-to-end solutions for clients Tech & Skills: Frontend: - HTML, CSS, JavaScript Backend & Databases: - Java, Spring Boot - MySQL, SQL fundamentals Automation & Tooling: - Workflow automation (n8n, Make) - AI-assisted automation (OpenAI integrations) - Docker (Basics) - Git & version control Other: - SEO optimization - Performance optimization - API integration - Debugging and problem-solving I believe in learning by building and continuously improving through hands-on projects. Every project helps me grow as a developer and deliver better solutions. Open to opportunities, collaborations, and discussions around full stack development, automation, and scalable web applications.

Experience

Full-stack Developer

Blue Berg Infotech

Jan 2025 - Jan 2026 · Pune, Maharashtra, India

Wordpress Developer

Upwork

Jul 2024 - Aug 2025

Frontend Developer

Latium Freelancing

Jan 2023 - Aug 2024

Frontend Developer Intern

Dreamcare Developers Pvt. Ltd.

Dec 2025 – Feb 2026 · Hinjewadi, Pune

Built a responsive UI for a US-based law firm web application using React.js, HTML5, and CSS3; created an admin dashboard with role-based access control and a REST API-backed testimonials module; debugged 15+ cross-browser layout issues across Chrome, Firefox, and Safari; collaborated with backend and QA teams through Git branching workflows and joined US client review calls.

Education

Nutan Maharashtra Institute of Engineering and Technology

Bachelor of Engineering - BE, Computer Engineering

Aug 2023 - Oct 2027

Savitribai Phule Pune University

Computer engineering, Computer Engineering

undefined 2023 - Present

Nutan Maharashtra Institute of Engineering & Technology (NMIET), SPPU

Bachelor of Engineering, Computer Engineering

2023 – Present

GPA: 6.67 / 10

Shivbhumi Junior College, Pune

Higher Secondary Certificate (HSC), Science

2022 – 2023

60%

Dnyandeep Vidyalaya, Talawade, Pune

Secondary School Certificate (SSC)

2020 – 2021

80.80%

Skills

Spring BootSearch Engine Optimization (SEO)Content Management Systems (CMS)JavaHTMLMySQLReact.jsArtificial Intelligence (AI)JavaScriptPython (Programming Language)HTML5WordPressWeb DevelopmentUser Experience (UX)User Interface DesignProject ManagementTeam LeadershipFront-End DevelopmentResponsive Web DesignPythonCSS3FastAPIFlaskREST APIsMongoDBGitGitHubPostmanAWS EC2AWS S3DSAOOPDebuggingProblem SolvingPyTorchNLP

Projects

Autonomous Ops AI

Built a workflow automation platform inspired by n8n with a visual React.js pipeline dashboard, FastAPI async REST endpoints supporting 10+ concurrent pipeline executions, MongoDB persistent state, AI APIs for text classification and content generation, and AWS EC2 deployment with S3-backed configuration storage. Reduced manual task setup time by 40% and deployment setup time by 30%.

AI Resume Analyzer

Built an NLP system using Python, Flask, and spaCy to parse PDF resumes and predict ATS compatibility scores. Created a Flask REST API for resume ingestion, keyword extraction, and job-description matching in under 2 seconds per request, improving resume-job match accuracy by 35%.

Skin Disease Detection System

Trained a PyTorch CNN model achieving 85%+ classification accuracy with sub-2-second inference per image. Built a secure image upload pipeline with server-side validation, reducing invalid input errors by 90%.