I'm

Anurag Bodkhe

Software Engineer, Full Stack Developer, Backend Developer, Android Developer, ML Engineer
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1+

years

of working experience as a Full Stack Developer & Software Engineer

I'm a passionate full-stack developer and software engineer with hands-on experience building production-grade, scalable, and secure applications across web and mobile platforms. My expertise spans full-stack web development, Android app development (Kotlin/Jetpack Compose), machine learning pipelines, and cloud deployments — with a strong emphasis on clean architecture, secure backends, and seamless integrations using modern frameworks and cloud services.

I've authored two research publications, built AI-driven HR analytics systems with Explainable AI (XAI/SHAP), engineered a serverless decentralized Android messaging app using BLE Mesh and Tor, and developed real-world enterprise systems under Agile/JIRA methodology with CI/CD pipelines.

  • Production-grade Full-Stack apps with Spring Boot REST API + React.js; JWT auth & RBAC
  • ML Pipelines with XGBoost, SHAP Explainability, SMOTE — achieving AUC-ROC 0.8170
  • Serverless Android Architecture — BLE Mesh, Tor (Arti/JNI), X25519 ECDH + AES-GCM encryption
  • Cloud Deployments on AWS EC2/S3/DynamoDB with Docker & GitHub Actions CI/CD
  • Real-Time Features using WebSockets, Socket.io, Firebase Realtime DB (sub-100ms delivery)
  • Automation Testing with Selenium, TestNG; Agile development with JIRA
  • Research Publications: 2 peer-reviewed papers (ML + Decentralized Systems)
Programmer illustration

Skills & Experience

A curious and hands-on software engineer with experience in full-stack web development, Android development, machine learning, and cloud-native systems. Passionate about crafting secure backends, intelligent ML pipelines, interactive UIs, and scalable architectures using modern frameworks and cloud platforms.

My Skills

Languages & Fundamentals
Java Kotlin JavaScript TypeScript Python C++ C SQL NoSQL DS & Algorithms DBMS OS CN OOPs System Design
Frameworks & Libraries
Spring Boot React.js Node.js Express.js Flask Jetpack Compose TensorFlow scikit-learn XGBoost SHAP Plotly Tailwind CSS Bootstrap Socket.io React Query
Databases
MySQL MongoDB PostgreSQL SQLite Firebase Supabase AWS DynamoDB
Tools, Cloud & DevOps
Docker Jenkins AWS S3 AWS EC2 AWS DynamoDB Git GitHub Actions JWT REST APIs CI/CD Selenium TestNG JIRA Firebase Auth MongoDB Atlas
Core Competencies
Machine Learning Explainable AI (XAI) System Design Automation Testing Software Engineering BLE Mesh / P2P End-to-End Encryption PWA Agile / Scrum
Ailexity Software – Software Development Intern

Pune, IN (Hybrid/Remote) | June – July 2025

  • Full-Stack Dev: Built production-grade Restaurant Management System with Spring Boot REST API + React.js SPA; JWT auth, RBAC, Hibernate ORM/MySQL, real-time CGST/SGST tax calculations, and full order lifecycle management.
  • Frontend Engineering: React Query server-state caching, Context API global state, paginated order history, dynamic search/filter, real-time sales dashboard; multi-format export (PDF, CSV, WhatsApp receipt) + multi-payment support (Cash/Card/UPI).
  • Impact: Reduced billing processing time by 60%; unit tests via TestNG; delivered under Agile/JIRA methodology.

Technologies: Spring Boot, React.js, JWT, Hibernate ORM, MySQL, React Query, Context API, TestNG, JIRA, Agile.

MIT ADT University, Pune

B.Tech – Information Technology | 2023 – 2027

CGPA: 7.35

Rashtriya Arts, Commerce and Science College, Sambhajinagar

HSC (12th Grade) – Maharashtra State Board | 2021 – 2023

Percentage: 66.17%

Atma Malik Secondary & Higher Secondary Gurukul, Ahmednagar

SSC (10th Grade) – Maharashtra State Board | 2020 – 2021

Percentage: 90.40%

My Projects

Major Projects

EduStake

College Resource Sharing Platform

PWA for students to share resources, join study rooms, and manage notes. Firebase Auth (email + Google OAuth), RBAC, Firestore full-text search, real-time chat & voice rooms, push notifications, and offline-first Service Worker support.

Stack: React.js · Firebase Auth · Firestore · Firebase Realtime DB · EmailJS

View Project

Bit-Chats

Decentralized Secure Chat Application

Serverless Android app — BLE Mesh for offline multi-hop relay, Tor (Arti/JNI) for anonymized onion-routed traffic, X25519 ECDH + AES-GCM E2E encryption via Google Tink, MVVM + Dagger-Hilt, Room DB. Sub-50ms response times with zero server dependency.

Stack: Kotlin · Jetpack Compose · MVVM · BLE Mesh · Tor (Arti/JNI) · Room DB

View Project

AI-Powered EAPS

Employee Attrition Prediction System

ML pipeline benchmarking 4 classifiers (LR, SVM, RF, XGBoost) on IBM HR Analytics dataset; SMOTE for class-imbalance — AUC-ROC 0.8170, F1: 0.438, Accuracy: 65.2%. SHAP Explainability (XAI) for per-prediction attribution. Flask REST API with batch processing; deployed on AWS EC2 + S3 with Docker & GitHub Actions CI/CD.

Stack: Python · Flask · scikit-learn · XGBoost · SHAP · SMOTE · Plotly · Docker · AWS

View Project

Minor Projects

Coffee Shop thumbnail
Coffee Shop

Full-stack landing & ordering system (PHP, JS)

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SHOPLANE (Mini)

Compact demo of the ShopLane e‑commerce app — product listing, cart and checkout preview.

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Publications

XGBoost-Based Employee Attrition Prediction with SHAP Explainability

Venue: International Journal of Computer Applications (IJCA)

Author: Anurag Bodkhe (Corresponding Author)

DOI: https://doi.org/10.5120/ijca1f36c9153a77

ORCID: 0009-0007-2148-7777

Developed an XGBoost-based ML model with comparative analysis of Logistic Regression, SVM, Random Forest, and XGBoost on the IBM HR Analytics dataset (1,470 records, 35 features). Applied SMOTE for class-imbalance correction — achieving AUC-ROC 0.8170 and 65.2% accuracy. Integrated SHAP per-prediction feature attribution to surface top attrition drivers (overtime, job satisfaction, tenure), enabling actionable HR workforce retention insights.

Bit-Chats: A Framework for Secure and Efficient Decentralized Communication over Bluetooth Mobile Ad-Hoc Networks

Venue: ScienceOpen — Hosted document / Research Paper

Author: Anurag Bodkhe (Corresponding Author)

DOI: https://doi.org/10.14293/PR2199.002312.v1

ORCID: 0009-0007-2148-7777

https://www.scienceopen.com/hosted-document?doi=10.14293/PR2199.002312.v1

Designed a decentralized Bluetooth MANET system for internet-free P2P messaging; dynamic multi-hop BLE routing with adaptive TTL for resilient delivery in offline and emergency low-connectivity environments. Hybrid end-to-end encryption (X25519 ECDH + AES-GCM) via Google Tink; Tor (Arti/JNI) for anonymized onion-routed traffic — validated against eavesdropping, MITM, and replay attacks in infrastructure-less scenarios.

Let's Work Together

My Address:

MIT ADT Campus, Pune, Maharashtra 412201, India

Call me:

+91 9022977272

Mail me:

bodkheanurag235@gmail.com

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