Anshul Deoli
@anshuldeoli
I build Java Spring Boot backend systems, REST APIs, and AI-powered applications.
What I'm looking for
I've built AI-powered, microservices-based applications with Java, Spring Boot, Netflix Eureka, API Gateway, Keycloak, Kafka, MongoDB, React.js, and Google Gemini AI. My fitness platform handled 10,000+ simulated fitness-tracking events and generated personalized workout recommendations from user activity data.
I've also built a full-stack job application tracker with JWT authentication, 15+ REST APIs, MySQL persistence, and Gemini-powered resume-to-job matching. During my Data Analytics internship at YBI Foundation, I developed automated Python data pipelines and optimized a content-based movie recommendation engine.
Experience
Work history, roles, and key accomplishments
Analyzed business requirements for a financial portfolio management system and identified the data it needed to track. Designed the data model as an entity relationship diagram (ERD) using IntelliJ and published it to GitHub.
Wrote a proposal for a RESTful web service to manage a list of employees. Built a web server application in Java and Spring Boot that accepts and responds to HTTP requests, including support for uploading JSON data, and wrote unit tests to verify core functionality.
Data Analytics Intern
YBI Foundation
Jun 2024 - Jul 2024 (1 month)
Programmed automated Python scripts using Pandas and NumPy to ingest, clean, and preprocess raw datasets. Developed and optimized content-based filtering algorithms to build a scalable movie recommendation engine.
Education
Degrees, certifications, and relevant coursework
Institute of Technology Gopeshwar
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Pursued a Bachelor of Technology in Computer Science and Engineering, gaining a strong foundation in software development and engineering principles.
Government Inter College, Gauchar
Intermediate, General Studies
2019 - 2021
Grade: 73.2%
Completed Intermediate (XII) with 73.2% and High School (X) with 70%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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