π» Backend Developer β’ π€ ML Enthusiast β’ π§© Problem Solver
Iβm 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.
Languages:
β Java β’ π Python β’ π’οΈ SQL β’ π TypeScript β’ π¨ Javascript β’ π· C++
Backend:
π§ Spring Boot β’ Spring MVC β’ JEE β’ REST APIs β’ Microservices β’ Webservices
Cloud & DevOps:
π³ Docker
Databases:
π PostgreSQL β’ MongoDB
ML & AI:
π§ NLP (text classification) β’ ποΈ Computer Vision (GLCM, LBP, SIFT) β’ π§ͺ EEG signal analysis
Tools:
π Git β’ π¬ Postman β’ π§° Maven β’ π§ Angular
- βοΈ Developed backend features, integrations, and enhancements for internal systems.
- π Resolved production issues and improved service reliability.
- π‘ Led a module in an email vendor migration project.
- π Strengthened foundations in Java, Spring Boot, and REST API development.
- π οΈ Contributed to backend logic and automation tools.
- π§ Contributed to the Career Navigation Tool using Spring Boot + Angular + PostgreSQL.
B.Tech β Electronics & Telecommunication Engineering
Vishwakarma Institute of Technology (VIT), Pune
Relevant Coursework:
π Data Structures
π Algorithms
πΎ Operating Systems
π DBMS
π Object Oriented Programming
π€ Machine Learning
π§ Deep Learning
π Natural Language Processing
ποΈ Computer Vision
π Python Programming
π Data Science
βοΈ Cloud Computing
π€ Robotics (First Year)
- π£οΈ Built an LSTM-based NLP model to detect hate speech.
- π‘ Implemented preprocessing, tokenization, embeddings, and evaluation.
- π§ Used sliding window analysis to classify emotional states from EEG signals.
- π Under Publication in ICRAIC2IT 2025 Taylor & Francis.
- π§± Applied GLCM and LBP texture analysis for leakage identification.
- π Under Publication at IEEE INSPECT 2025.
Status: Completed
- π₯ Designed SIFT + PCA based crowd detection for assistive mobility.
- βοΈ Backend development
- π‘ Distributed systems
- βοΈ Cloud engineering
- π€ Artificial Intelligence and Data Science
- π Applied research
- π LinkedIn: https://www.linkedin.com/in/nihar-chaudhari-3aa773225/
- π§ Email: nihaar6601@gmail.com
Thanks for stopping by! β¨
