Software Engineer

Building scalable web apps with AI at the core.

Full-Stack Software Engineer focused on scalable web applications, healthcare interoperability, and AI-powered product experiences.

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/OAuth 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 Stack

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

Experience

Associate Software Engineer

Hale Healthcare IT Labs

July 2024 - November 2025

Bhubaneswar, India

  • 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/OAuth 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

December 2023 - June 2024

Bhubaneswar, India

  • 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

June 2023 - August 2023

Remote

  • 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

Healthcare AI

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.

View Repository
RxAnalyzer AI medical prescription summary generator

Clinical Productivity

RxAnalyzer - AI-powered prescription summary generator

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

View Repository
SMART on FHIR chat application for clinicians providers and patients

Real-time Systems

SMART on FHIR Chat Application

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

View Repository
SMART on FHIR suite for clinicians and providers

Interoperability Suite

SMART on FHIR Suite for Clinicians and Providers

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

View Repository
Crop Disease Detection System

Deep Learning

Crop Disease Detection System

CNN-based deep learning system built with TensorFlow and Keras for crop disease classification, including preprocessing and evaluation workflows.

View Repository

Machine Learning

Customer Segmentation Using ML

Applied clustering algorithms in Python to segment customers based on behavioral and demographic patterns for targeted decision-making.

View Repository
Blockchain based decentralized Voting Application

Blockchain

Decentralized Voting Application

Built a blockchain voting dApp using Solidity, Truffle, Ganache, and MetaMask with a secure JavaScript-driven frontend.

View Repository

Security ML

Sparse Data Study for Malware Detection

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

View Repository

GitHub Activity

Active on open repositories, experiments, and feature work across healthcare, AI integrations, and full-stack systems.

Visit 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 (August 2021 - Present), publishing educational content on AI, crypto, healthtech, and macro finance.

Get In Touch

Open to full-time software engineering opportunities and mission-driven teams.

I am especially interested in healthcare + AI products where engineering quality and user impact are equally important.

Blog Notes
Energy Is the Ultimate Currency - Elon Musk How America is using stablecoins to increase USD dominance globally Blockchain + Aadhaar could enable secure home voting for India Agentic AI in the EHR via SMART on FHIR workflows Ondo Finance and the evolving RWA tokenization landscape Abstractive Health - AI-powered CDS for clinicians Turning stablecoin issuers into treasury buyers for India