Aman Raj

Software Engineer

A Full-Stack Software Engineer focused on scalable web apps, healthcare interoperability, and AI-powered products.

View Experience View Projects

Professional Summary

Full-Stack Software Engineer with hands-on experience building scalable web applications using React.js, Node.js, Express.js, and RESTful APIs. Proficient in JavaScript, Python, MySQL, MongoDB, Redis, JWT authentication, AI/LLM integrations, and AWS cloud services.

Delivered full-stack healthcare solutions, real-time features with WebSockets, and third-party integrations including Stripe payment gateway, Zoom webinars/meetings, and HL7 FHIR workflows.

Strong focus on clean code, MVC architecture, Agile methodologies, HIPAA compliance, and problem-solving.

Technical Skills

Languages: JavaScript, Python, HTML, CSS

Frontend: React.js

Backend: Node.js, Express.js, Django

Databases: MySQL, MongoDB, Redis

Tools: Git, GitHub, Docker, Postman, Jira

Cloud: AWS

Core Concepts

RESTful APIs WebSockets Webhooks JWT/OAuth AI/LLM Integrations Responsive Design Agile/Scrum CI/CD Concepts HL7 FHIR HIPAA Compliance

Professional Experience

Associate Software Engineer

Hale Healthcare IT Labs

Bhubaneswar, India | July 2024 - November 2025

Developed responsive healthcare interfaces using React.js, Hooks, and Context API.
Designed secure backend systems and RESTful APIs using Node.js, Express.js, and JWT authentication.
Integrated Stripe payments, Zoom APIs, and EHR systems including OpenEMR, Epic, and Oracle Health.
Implemented HL7 FHIR and SMART on FHIR workflows for interoperable Clinical Decision Support applications.
Built AI/LLM integrations and scalable full-stack modules using MVC architecture and npm packages such as jsonwebtoken, mysql2, fhirclient, and puppeteer.

Software Engineer Intern

Hale Healthcare IT Labs

Bhubaneswar, India | December 2023 - June 2024

Engineered HIPAA-compliant real-time chat using WebSockets, Socket.io, and role-based access control.
Built backend APIs with Node.js and Express.js and integrated Redis for queueing and real-time storage.
Collaborated with senior engineers on healthcare workflows, compliance, and security standards.

Data Science Intern

Celebal Technologies

Remote | June 2023 - August 2023

Performed analysis, feature engineering, and ML model development using Python, Pandas, NumPy, and Scikit-learn.
Implemented customer segmentation via clustering and fraud detection using classification techniques.

Projects

AI-powered CDS application using SMART on FHIR

AI-enabled Clinical Decision Support application built with SMART on FHIR workflows for interoperable EHR integration and actionable clinical insights.

GitHub Link

RxAnalyzer AI medical prescription summary generator

RxAnalyzer - An AI-powered medical prescription summarygenerator

Prescription intelligence tool that summarizes clinical prescriptions using AI to improve readability, medication clarity, and patient-provider communication.

GitHub Link

SMART on FHIR Chat Application for Clinicians, Providers and Patients

Real-time SMART on FHIR chat solution enabling secure communication between clinicians, providers, and patients with context-aware healthcare workflows.

GitHub Link

SMART on FHIR Suite for Clinicians and Providers

Integrated SMART on FHIR platform suite for clinicians and providers, designed to streamline care workflows and improve interoperability across systems.

GitHub Link

Crop Disease Detection System

Created a CNN-based deep learning system with TensorFlow and Keras for crop disease classification, including preprocessing and evaluation with Pandas, NumPy, and Scikit-learn.

GitHub Link

Customer Segmentation Using ML

Applied clustering algorithms in Python to segment customers based on behavioral and demographic patterns.

GitHub Link

Blockchain based decentralized Voting Application

Developed a decentralized voting dApp using Solidity, Truffle, Ganache, and MetaMask with a secure frontend built in JavaScript, HTML, and CSS.

GitHub Link

Sparse Data Study for Malware Detection

Compared sparse data handling techniques and evaluated multiple machine learning classifiers for Android malware detection.

GitHub Link

GitHub Contributions

@amanKIIT

View GitHub

Education & Credentials

Bachelor of Technology in Computer Science Engineering

Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar | 2024

CGPA: 8.71 / 10

12th (Intermediate)

Chinmaya Vidyalaya (CBSE) | 2020

Percentage: 74.20%

10th (Matriculation)

Chinmaya Vidyalaya (CBSE) | 2018

Percentage: 84.83%

Certifications

Web Development - Coursera
Blockchain Basics and Foundation - Coursera
Problem Solving (Intermediate) - HackerRank
AWS Graduate - Amazon Web Services

Additional Achievements

Content Creator on YouTube and X (Aug 2021 - Present), publishing educational content on AI, crypto, healthtech, and macro finance.

Get In Touch

Open to full-time software engineering opportunities, impactful product teams, and healthcare + AI projects.

linkedin.com/in/amanraj31 @f_sicc