Full Stack Developer at Inferentics, building backend systems and APIs for an EdTech platform that transforms exam data into personalized learning paths for students in emerging markets.
Specializing in full-stack web development, RESTful APIs, and database management — focused on building scalable, user-centric solutions that create real impact in education technology.
Full Stack Developer — Inferentics | December 2025 – Present
Building backend systems and APIs for an EdTech platform that transforms exam data into personalized learning paths tailored to each student's unique learning gaps.
- Architect and maintain RESTful API services backing core EdTech platform features
- Design database schemas optimized for query performance
- Build and integrate AI-driven features enhancing learning personalization
- Collaborate with frontend engineers on API contract definition and integration testing
- Implement monitoring, error handling, and graceful degradation patterns for production reliability
Java Full Stack Developer Intern — Infosys Springboard | June 2025 – October 2025
Developed InsurAI — a corporate-level insurance management system to automate policy workflows and claim management for Employees, Agents, HR, and Admin roles.
- Built secure role-based authentication using JWT for scalable access control
- Integrated AI-driven fraud detection and predictive analytics improving claim validation efficiency by 40%
- Automated notifications via Email/SMS and implemented chatbot support for employee assistance
- Designed real-time dashboards with CSV/PDF export and analytics visualization for HR/Admin
Full Stack Developer Intern — Inventeron Technologies | February 2025 – June 2025
Built an AI-powered MERN stack application for immersive, gamified language learning supporting 10+ languages.
- Integrated speech recognition (Web Speech API), flashcards, AI chatbot, structured lessons with quizzes
- Implemented Google OAuth 2.0 & JWT authentication with personalized progress tracking across 12+ features
- Optimized backend APIs reducing response time by 30% in test environments
Full Stack Developer Intern — Tekkybench Technologies | October 2022 – November 2022
Developed an event management platform with registration, ticketing, and real-time analytics. Implemented scalable architecture to handle high traffic and ensure seamless event execution.
🔬 Tuberculosis Detection Using Deep Learning
A web-based clinical decision support system for TB detection from chest X-ray images using CNN + Grad-CAM visual explainability.
| Attribute | Details |
|---|---|
| Stack | Python, Flask, TensorFlow, CNN, Grad-CAM |
| Performance | 92% accuracy; results within 3 seconds |
| Impact | Real-time diagnosis with confidence scores and visual explanations for healthcare professionals |
| Repository | github.com/Jeevannaik66/Tuberculosis-Detection-Using-DL |
🌱 SoilSense — Crop Recommendation System
Deep learning-based system classifying soil types from images with real-time weather API integration for crop recommendations.
| Attribute | Details |
|---|---|
| Stack | Python, Flask, Machine Learning, OpenAI API |
| Performance | 92% model accuracy; 8+ language support for farmers |
| Impact | Improved crop recommendation accuracy by 25% during testing |
📋 Smart Attendance System using Face Recognition
Full-stack attendance platform integrating Flask + OpenCV face recognition API with a PHP/MySQL web dashboard.
| Attribute | Details |
|---|---|
| Stack | Python, Flask, OpenCV, PHP, MySQL |
| Performance | Real-time face recognition; reduced manual roll-calls by 80% |
| Impact | Admin dashboard with filters, analytics, and CSV/PDF export |
| Repository | github.com/Jeevannaik66/Smart-Attendance-System |
"Building things that matter."