Java developer

Sarthak Behare +91-749******* *****************@*****.*** LinkedIn GitHub

SKILLS

Programming Languages: Java, Python, SQL

FrameWorks & Tools: Spring Boot,Git,Github,AWS,PostMan,Docker,Minikube, DBeaver, IntelliJ IDEA,Agno Databases: MySQL, MongoDB

Machine Learning: Agno,Python libraries– scikit-learn, TensorFlow, Keras Technical Proficiencies: Data Structures and Algorithms, Machine Learning,Object-Oriented Programming EDUCATION

● Sipna College Of Engineering & Technology, Amravati CGPA : 7.2

● Shree Samartha Junior College Of Science, Akola Percentage: 95.67%

● New Orange City Convent, Warud Percentage: 79.20% PROJECTS EXPERIENCE

PingRepo– Enterprise Real-Time Communication Platform [Github] Tech Stack:- Spring Boot, WebSocket, WebRTC, PostgreSQL, MongoDB, JWT, React.Js, Tailwind CSS, Docker

● Engineered a 4+ microservices architecture using Spring Boot, implementing real-time messaging, voice communication, and media streaming with WebSocket and WebRTC protocols.

● Developed real-time features including group messaging, Voice channels, Media sharing, User presence with seamless synchronization across clients using MongoDB and PostgreSQL.

● Implemented enterprise-grade security with JWT authentication, Role-based access control, granular permissions, Email verification with OTP support.

InventoSync – Warehouse Management System (Ongoing) [GitHub] Tech Stack:- Spring Boot, Spring Data JPA, WebSocket, STOMP, PostgreSQL, JWT, React.Js, Tailwind CSS

● Real-Time Inventory Management: Developed a Spring Boot application for warehouse inventory, enabling real-time tracking of product storage/retrieval using Spring WebSocket and Spring Data JPA.

● Secure Role-Based Access: Secured operations with Spring Security, implementing JWT-based RBAC for Admin and Employee roles, with custom filters ensuring robust authentication and authorization.

● Optimized Performance: Enhanced real-time performance using WebSocket with STOMP for live dashboard updates and efficient JPA queries for seamless data management and retrieval. NEXTSTEP – A Career Guidance Platform [GitHub]

Tech Stack:- Python, LLaMA 70B, TensorFlow, RAG, Content-Based System, PostgreSQL, HTML/CSS/JS

● Course & Job Recommendation: Implemented personalized suggestions using a Content-Based Model (Coursera dataset), SERP API, and a custom database.

● Career Guidance & Roadmap Generation: Leveraged LLaMA 70B and RAG to analyze user assessments, providing key improvement points, resources, and Career Roadmaps.

● Resume Optimization: Used LLaMA 70B to analyze and enhance resumes based on job descriptions for tailored improvement suggestions.And also a Chatbot which can help users to solve his Doubt in real time. ACHIEVEMENTS

● Consolation Prize Winner at Project Competition, PRMITR College – [View Credentials]

● Finalist at Techelons 2025 (PR Pote College) and Rackathon 2025 (GH Raisoni College) – [View Credentials]

● Solved 500+ DSA problems across platforms like LeetCode, GFG, and CodeChef

● Accenture Summer Internship Offer (2025; deferred due to finals)– [View Credentials]

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