Software engineer

Raj Kumar Kumbhaj

Phone: 957******* Email: *****************@*****.*** LinkedIn Codeforces LeetCode CodeChef Education

Birla Institute of Technology Mesra, Ranchi May 2025 Bachelor of Technology in Information Technology (GPA: 8.29 / 10.00) Ranchi, Jharkhand Veer Sawarkar Public School (BSER), Dausa

Senior Secondary Education (Class XII) – Percentage: 92.80% Dausa, Rajasthan Technical Skills

Languages: Java, Python, JavaScript

Backend: Spring Boot, REST APIs, Microservices, SpringSecurity, JPA, Hibernate, JWT, Node.js, Express.js Databases: MySQL, MongoDB, SQL, NoSQL, RDBMS

Cloud & Tools: CI/CD, AWS, Docker, Jenkins, Git

Data & ML: Data Analysis, ETL Pipelines, Machine Learning (Basics), GenAi, LLM Evals, RAG, VectorDB Frontend: React.js, HTML, CSS

Core CS: DSA, OS, DBMS, OOP, CN

Projects

Agentic RAG Assistant FastAPI, LangGraph, LangChain, React

• Architected a full-stack Agentic RAG assistant that dynamically routes queries across PDFs (ChromaDB), SQL, and web search using an LLM-based planner.

• Implemented anonymous multi-tenant data isolation with per-browser UUIDs and 24-hour TTL cleanup for documents, database records, and vector embeddings across multiple storage layers.

• Designed a provider-agnostic LLM architecture supporting Groq, Ollama, OpenAI, and Gemini via a factory pattern, and deployed the React/FastAPI application on Vercel and Render. DineFlow React.js, SpringBoot, MySql, SpringSecurity, JPA

• Engineered a full-stack reservation system (Spring Boot, React, MySQL, JWT) with double-booking prevention via a custom conflict-detection algorithm.

• Implemented an order workflow with price snapshotting and a strict status state machine for accurate historical data.

• Built JPQL-based admin reports and a scheduled job to auto-expire no-show reservations. Water Quality Prediction Python, Scikit-learn, Pandas, NumPy, Matplotlib

• Achieved 93% accuracy in predicting water quality using regression and classification models with Scikit-learn.

• Enhanced model reliability through data preprocessing and visualization using Pandas, NumPy, and Matplotlib. Experience

CSC E-Governance Services India Limited (MeiTY) Jan 2025 – June 2025 Software Engineering Intern (UIDAI DASHBOARD) Delhi

• Developed a scalable UIDAI dashboard for monitoring over 1M+ e-KYC and Aadhaar authentication transactions using Spring Boot and React.js, with JWT authentication and role-based access control.

• Built date-wise filtering, real-time status tracking, and error categorization using JPA/Hibernate and REST APIs, improving data accessibility by 30%.

• Implemented automated invoice generation and export-to-Excel features with Spring Batch and optimized transaction workflows, reducing manual data handling by 40%. Snapdeal Aug 2025 – Jan 2026

Data Analyst Intern Gurgaon

• Built and automated data pipelines SQL, Databricks that improved data refresh frequency from weekly to daily, with select critical pipelines upgraded to hourly for near real-time delivery.

• Automated data cleaning, transformation, and reporting workflows end-to-end, eliminating manual steps and improving delivery reliability; built performance dashboards for large-scale sales and customer datasets. Achievements

• Solved 1000+ DSA problems on various platforms

• Secured All India Rank 581 in COMEDK’21

• Ranked 490 globally in CodeChef Contest Starter 121

• Ranked in the Top 10 within the district in both 10th and 12th board exams

Contact this candidate