Crafting Digital
Masterpieces
I'm Aniket, a professionalFull-Stack Web
dedicated to building high-performance, user-centric web applications.
01const developer = {
02name: 'Aniket',
03focus: 'Fullstack Mastery',
04skills: ['React', 'Node.js', 'AI'],
05passionate: true,
06motto: "Build with Purpose"
07};
08developer.showcase();
About The Architect

Built with Passion
Bachelor of Technology - Computer Science & Engineering | CGPA: 8.15
Intermediate | Percentage: 79.2%
Matriculation | Percentage: 77%
Foundation of
Knowledge
"Education is the most powerful weapon which you can use to change the world."
The Tech Stack
Portfolio
Featured Creations
A selection of high-impact digital solutions, built with focus on scalability, performance, and exceptional user experience.

Engineered a scalable hiring system managing 500+ job listings, 100+ employers, and 1,000+ applications with live status updates. Integrated an AI-based resume parser and ATS evaluator covering 20+ skill metrics, accelerating candidate screening by 60%. Automated end-to-end candidate operations—resume uploads, job recommendations, status notifications—reducing manual hiring workload by 50% and enhancing response time by 35%.

Designed a centralized platform used by 100+ rehab centers for onboarding, admissions, and treatment monitoring. Built a real-time analytics interface using Chart.js presenting recovery patterns and center performance, improving reporting speed by 40%. Enforced secure, role-based permissions using PHP sessions, improving data protection by 35%.

Developed a responsive marketplace connecting users with 50+ verified construction professionals across multiple categories. Improved UX with filters, service catalogs, and mobile-friendly layouts, boosting navigation efficiency by 40%. Developed interactive service booking and professional profile modules that increased user engagement by 35%, all without a backend.
Certificates
Software Development Intern
Developed a comprehensive AI-Powered Disease Predictor System using Python and Streamlit to analyze user medical inputs and generate probabilistic disease risk assessments.
Trained scikit-learn models on real-world medical datasets for multiple diseases.
Delivered a functional, interactive multi-disease prediction platform as part of the TechSaksham internship.
MERN with Generative AI Trainee
Built a personalized Ayurvedic recommendation platform that analyzes user lifestyle, body type (Prakriti), and symptoms to suggest herbal remedies, diet plans, and wellness routines.
Implemented secure authentication using JWT, bcrypt, and Zod validation to strengthen data protection.
Let's Connect
Have a project in mind or just want to say hi? I'm always open to discussing new opportunities and creative ideas.