Hi 👋, I'm Mrunang Gharpure

Software Engineer | Frontend, Java & Cloud Systems

---

👨‍💻 About Me

• 🎓 Currently pursuing Applied AI & Data Science at IIT Jodhpur
• 💻 Frontend-focused Software Engineer with experience building modular UI systems and scalable applications
• ☁️ Hands-on exposure to Cloud platforms (AWS/GCP), CI/CD workflows, and service-based architectures
• ⚙️ Comfortable working in Agile/Scrum teams, participating in code reviews, design discussions, and release cycles
• 🚀 Fast learner who adapts quickly to new tools, frameworks, and changing priorities

📫 Reach me at: mrunang@gmail.com

---

🛠️ Technical Skills

UI / Frontend Development

• HTML5, CSS3, JavaScript, TypeScript
• Angular, React, Bootstrap, Tailwind
• Responsive design, component-based architecture

Backend & Enterprise Technologies

• Java (JDK 7+), Java/J2EE fundamentals
• Spring Boot (basic), RESTful APIs
• Microservices & SOA concepts

Cloud & DevOps

• AWS / GCP fundamentals (compute, storage, deployment)
• CI/CD pipelines
• Infrastructure-as-Code concepts
• Docker (container fundamentals)

Databases

• MySQL, SQL Server
• Relational schema design & SQL queries

Engineering Practices & Tools

• Git, GitHub, SVN
• Maven, Gradle
• JIRA, Confluence
• Agile / Scrum environments

Testing & Quality

• Unit Testing: JUnit (basic)
• UI automation concepts: Selenium
• API testing concepts: SoapUI

---

📌 Selected Projects (Enterprise + Systems Focus)

🔹 AI-Powered Resume & JD Analyzer

• Built an NLP-based system to compare resumes against job descriptions.
• Extracts required skills, computes relevance scores, and highlights gaps.
• Demonstrates requirement analysis, automation, and backend logic.
• Tech: Python, REST concepts
  🔗 https://github.com/MrunangG/resume-analyser

---

🔹 Interactive CLO Cash Flow Simulator

• Designed a modular system to simulate CLO cash flow waterfalls.
• Focused on data pipelines, system decomposition, and business logic accuracy.
• Deployed as a web-based tool.
• Tech: Python, Pandas, NumPy, Streamlit
  🔗 https://github.com/MrunangG/CLO_Waterfall

---

🔹 Automotive Voice Assistant (Local RAG – Phi-2)

• Built a proof-of-concept assistant using a service-oriented architecture.
• Implemented document retrieval pipelines and modular processing layers.
• Highlights systems thinking and integration awareness.
• Tech: Python, HuggingFace, RAG pipelines
  🔗 https://huggingface.co/MrunangG/phi-2-mbux-assistant

---

🧠 Engineering Strengths

• ✔ Agile engineering best practices
• ✔ Software design & SDLC exposure
• ✔ Requirement decomposition & task planning
• ✔ Cross-team collaboration & documentation
• ✔ Systems integration and availability awareness
• ✔ Continuous learning mindset

---

🌐 Connect With Me