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nihaar6601/README.md

Hi, I'm Nihar πŸ‘‹

πŸ’» Backend Developer β€’ πŸ€– ML Enthusiast β€’ 🧩 Problem Solver


πŸ‘¨β€πŸ’» About Me

I’m a backend engineer with experience in Java, Spring Boot, webservices, microservices, and SQL.
I currently work at TransUnion as an Associate Software Developer, contributing to backend features, API integrations, production debugging, and internal tools.

I enjoy solving engineering problems, exploring ML concepts, and building efficient systems.


πŸ› οΈ Technical Skills

Languages:
β˜• Java β€’ 🐍 Python β€’ πŸ›’οΈ SQL β€’ πŸ“˜ TypeScript β€’ 🟨 Javascript β€’ πŸ”· C++

Backend:
πŸ”§ Spring Boot β€’ Spring MVC β€’ JEE β€’ REST APIs β€’ Microservices β€’ Webservices

Cloud & DevOps:
🐳 Docker

Databases:
πŸ—„ PostgreSQL β€’ MongoDB

ML & AI:
🧠 NLP (text classification) β€’ πŸ‘οΈ Computer Vision (GLCM, LBP, SIFT) β€’ πŸ§ͺ EEG signal analysis

Tools:
πŸ”— Git β€’ πŸ“¬ Postman β€’ 🧰 Maven β€’ 🟧 Angular


πŸ’Ό Professional Experience

Associate Software Developer β€” TransUnion

  • βš™οΈ Developed backend features, integrations, and enhancements for internal systems.
  • πŸ” Resolved production issues and improved service reliability.
  • πŸ“‘ Led a module in an email vendor migration project.

Software Development Intern β€” TransUnion

  • πŸš€ Strengthened foundations in Java, Spring Boot, and REST API development.
  • πŸ› οΈ Contributed to backend logic and automation tools.
  • 🧭 Contributed to the Career Navigation Tool using Spring Boot + Angular + PostgreSQL.

πŸŽ“ Education

B.Tech β€” Electronics & Telecommunication Engineering
Vishwakarma Institute of Technology (VIT), Pune

Relevant Coursework:
πŸ“˜ Data Structures
πŸ“— Algorithms
πŸ’Ύ Operating Systems
πŸ—„ DBMS πŸ“˜ Object Oriented Programming πŸ€– Machine Learning
🧠 Deep Learning
πŸ“ Natural Language Processing
πŸ‘οΈ Computer Vision
🐍 Python Programming
πŸ“Š Data Science
☁️ Cloud Computing
πŸ€– Robotics (First Year)


πŸ”¬ Research & Projects

1. Hate Speech Detection using NLP

  • πŸ—£οΈ Built an LSTM-based NLP model to detect hate speech.
  • πŸ”‘ Implemented preprocessing, tokenization, embeddings, and evaluation.

2. EEG-Based Emotion Detection

  • 🧠 Used sliding window analysis to classify emotional states from EEG signals.
  • πŸ“„ Under Publication in ICRAIC2IT 2025 Taylor & Francis.

3. Leakage Detection in Roofs & Walls (Computer Vision)

  • 🧱 Applied GLCM and LBP texture analysis for leakage identification.
  • πŸ… Under Publication at IEEE INSPECT 2025.

4. Crowd Detection & Navigation Assistance (Computer Vision)

Status: Completed

  • πŸ‘₯ Designed SIFT + PCA based crowd detection for assistive mobility.

πŸš€ Interests

  • βš™οΈ Backend development
  • πŸ“‘ Distributed systems
  • ☁️ Cloud engineering
  • πŸ€– Artificial Intelligence and Data Science
  • πŸ” Applied research

πŸ“ˆ GitHub Stats

GitHub Streak

GitHub Stats

Top Languages


🌐 Connect With Me

Thanks for stopping by! ✨

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