Here I'm Anurag Bodkhe
Full-Stack Developer & Software Engineer with hands-on experience across Java/Spring Boot enterprise backends, modern React web applications, and peer-reviewed machine learning research.
Personal Details
- Email: bodkheanurag235@gmail.com
- Education: B.Tech IT, MIT ADT Pune
- Role: Software Engineer / ML Dev
- Languages: English, Hindi, Marathi
- Location: Pune, Maharashtra, India
I Am Java/Spring Engineer
Specializing in scalable distributed enterprise software, responsive full-stack applications, and applied artificial intelligence. Committed to clean code architecture, modular design systems, high throughput low-latency APIs, and explainable AI models.
Awesome Capabilities
Comprehensive full-stack engineering proficiency spanning robust backends, interactive user interfaces, and applied AI systems.
Enterprise Backend
Scalable RESTful microservices, secure JWT/RBAC auth mechanisms, optimized Hibernate ORM queries, and resilient transaction processing.
Full-Stack & Web Apps
High-performance, accessible client-side interfaces built with modern React.js, responsive layouts, state workflows, and real-time backend synchronization.
AI & Explainable ML
Predictive models built with XGBoost, SMOTE balancing, and SHAP explainability. Peer-reviewed research with proven results in complex personnel risk analytics.
Professional Trajectory
SmartBridge
ServiceNow Admin & AIConfigured workflow automations, integrated core platform modules, and implemented incident classification and catalog intelligence pipelines for streamlined enterprise service delivery.
Ailexity Software
Software Dev InternArchitected a high-performance Restaurant Management System using Spring Boot & React.js. Implemented JWT authentication with fine-grained RBAC and optimized Hibernate ORM queries, reducing customer billing latency by 60%.
Featured Engineering Works
Production-grade systems designed with scalability, clean modular code, and demonstrable metrics.
ContractGuard AI | AI-Powered Contract Analysis Platform
- Architected a clause-level contract intelligence platform on five specialised ML models spanning 40 clause types, 24 risk categories, and 16 entity types, with rule-based baselines so the pipeline runs even with no trained weights.
- Built a 3-tier system comprising React/TypeScript, Spring Boot gateway, FastAPI ML service, and PostgreSQL + pgvector with JWT auth, per-stage failure isolation, and full model-provenance tracking on every prediction.
- Validated the system with 144 automated tests across backend, ML service, and frontend.
EAPS — AI Employee Attrition Prediction
Interpretable machine learning web application using Flask, XGBoost, and SHAP explainability. Integrates SMOTE class balancing for high predictive precision on skewed personnel data.
OMS — Order Management System
Resilient enterprise order platform featuring automated transaction handling, inventory reconciliation, and decoupled microservices designed for high concurrent load.
EduStake — Campus Resource Hub
Campus collaboration and resource sharing network featuring Firebase real-time database synchronisation, Cloud Messaging for push updates, and robust offline PWA support.
XGBoost-Based Employee Attrition Prediction with SHAP Explainability
International Peer-Reviewed Journal / Conference Proceedings
Novel application of tree-based ensemble learning combined with SHapley Additive exPlanations (SHAP) to interpret high-stakes enterprise turnover risk factors, translating machine intelligence into explainable HR decisions.
MIT ADT University, Pune
Bachelor of Technology (B.Tech) in Information Technology
2023 – 2027 • Pune, Maharashtra, IndiaLet's Build Something Great Together
I am actively seeking software engineering, full-stack, and SDE opportunities. Whether you have an open position, an engineering challenge, or an idea to discuss, feel free to reach out.