Wajahat Nazir

Software Engineer | Backend Specialist (Node.js, Spring Boot) | AI & RAG Enthusiast

Overview

Software Engineering student at COMSATS with a focus on high-performance backend systems and AI integration. Developed a full-scale hospital management system with 19 tables and built RAG-based agents for specialized user engagement. Experienced in Java/Spring Boot through professional internship and dedicated to building scalable, user-centric solutions.

Lahore, Pakistan

Experience

WORK

Java Intern

Appaura.net

Backend development internship focused on building scalable services with Java and Spring Boot.

Key Achievements

→Developed backend services and RESTful APIs using Java and Spring Boot.

→Successfully integrated backend logic for core business modules, ensuring seamless data flow.

JavaSpring Boot

Project Portfolio

PERSONAL

Present

Solar Axis full stack website

Full Stack Developer

A full-stack web application with complete admin panel and user dashboard for efficient management and intuitive interface for both. Achieved 97/100 Lighthouse score on frontend and 100% API success rate at 123 req/sec with p99 latency under 380ms.

PostgreSQLPrisma ORMReactNode.jsExpress.js

Live

ACADEMIC

Present

Lost & Found app

Developer

A dedicated campus recovery ecosystem designed to facilitate trusted item exchanges between university students through a secure verification process.

FlutterFirebase

ACADEMIC

Present

House Price Prediction Model

A predictive model built to estimate real estate prices based on various features, serving as a practical application of regression techniques.

PythonpandasNumPyRegression

PERSONAL

Present

Dsa Resource Aggregator

Developer

A curated search engine designed to centralize DSA resources including videos, pdfs and cheat sheets etc by programmatically restricting queries to high-quality academic and technical repositories.

JavaFXYouTube API

PERSONAL

Present

Med care-complete hospital management system

Developer

A full-scale clinical management suite with specialized modules for Doctors, Receptionists, Patients, and Admins to digitize the end-to-end healthcare experience. Overcame significant integration challenges connecting a Flutter mobile frontend with a Node.js backend.

Node.jsFlutterMS SQLExpress.js

PERSONAL

Present

Gamer-Tone RAG Database Agent

Lead Developer

An LLM-powered customer service agent for gamers that translates natural language into database operations. Features a fine-tuned personality using Gen Z slang and informal 'gamer' tone to increase user engagement.

PythonLLMsRAGVector DatabasesFine-tuning

PERSONAL

Present

Spam Email Detection System

A classification system designed to identify and filter spam emails. Developed using a pre-built model trained on a Kaggle dataset, involving significant feature engineering to improve detection accuracy.

PythonScikit-learnClassificationKaggle DatasetFeature Engineering

PERSONAL

Present

NestJS Feature Flag Manager

A development utility designed to manage and toggle application features through a centralized interface with single button clicks, simplifying testing and deployment.

NestJS