Bharat Suthar

Software Engineer

Ahmedabad, Gujarat, India2 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Developed scalable microservices enhancing user experience.
Solved over 1000 data structure problems.
Created a movie recommendation system using advanced algorithms.

Stackforce AI infers this person is a Fintech and SaaS developer with strong microservices and backend expertise.

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Skills

Core Skills

JavaSpring BootRest ApisNode.jsExpress.jsPythonMachine Learning

Other Skills

Agile MethodologiesAlgorithmsBootstrap (Framework)C++Cascading Style Sheets (CSS)DebuggingFigma (Software)FirebaseFlaskGitHTMLJUnitJavaScriptLiquibaseMaven

About

I am Software Developer, graduated from IIIT Surat with Computer Science branch. I have good work experience in various techs. My technical expertise lies in Java, Spring Boot, JDBC, Hibernate, REST API's, Microservices, JavaScript, React.js, Node.js, Express.js and databases MySQL, MongoDB, PostgreSQL, Elastic Search and have made several real world projects in these. I also have good problem solving skills and passionate about solving complex problems. Solved 1000+ data structure and algorithms problems on different coding platforms like leetcode, gfg, codechef and codeforces. Additionally I am also Machine learning enthusiast and have made end to end Movie recommender system using Python, flask and Machine learning models in Microsoft Engage mentorship program.

Experience

2 yrs 10 mos

Total Experience

11 mos

Average Tenure

1 yr 9 mos

Current Experience

Ignosis

Software Engineer

Sep 2024 – Present · 1 yr 9 mos · Ahmedabad, Gujarat, India · On-site

Developed a scalable and reliable microservice for various financial data sharing way, enhancing user experience with seamless, step-based workflows using Java, Spring Boot and React.
Created a Collection Module for the FIU project, allowing clients to upload CSV files with mobile numbers or tracking IDs to fetch account balances or analytics. Added features for job scheduling and email notifications to automate the creation and delivery of CSV reports on scheduled times.
Created a Mock Service Module for the FIP project, allowing developers to create dummy accounts, transactions, and users for testing. Enabled linking multiple accounts to users and configured various transaction types, simplifying development by integrating mock data into FIU and AA project workflows.
Designed multi-tenant architecture to support client-specific configurations, ensuring complete data segregation.

JavaSpring BootReact

Brane group

2 roles

Software Developer

Jun 2024 – Aug 2024 · 2 mos · Hyderabad, Telangana, India · On-site

• Implemented RESTful APIs and integrated third-party services to enhance functionality. Utilized Spring Boot to build scalable microservices, improving system modularity, resulting in a 40% increase in user engagement.

Spring BootREST APIsMicroservices

Software Intern

Jan 2024 – May 2024 · 4 mos · Hyderabad, Telangana, India · On-site

Resolved over 100 bugs in both development and production environment through effective debugging and troubleshooting, while collaborating with other product teams on integration, testing and deployments.
Leveraged advanced RSA security technology to implement token-based authentication, ensuring robust encryption and secure communcation between microservices.

DebuggingToken-based authentication

Modgenics technology solutions

Back End Developer Intern

Mar 2023 – Dec 2023 · 9 mos · Hyderabad, Telangana, India · Remote

Contributed to backend development for DueDash, a platform empowering founders, investors, and startups.
Implemented backend API’s using Node.js and Express.js, controller logic, and Optimized sequelize ORM (MySQL) database queries to reduce the JSON response time by 50% and sent to frond-end system.
Created Middlewares to restrict incoming requests based on user roles, effectively managing access levels for each module; improved system integrity and reduced unauthorized access incidents by 45%.

Node.jsExpress.jsMySQL

Microsoft

Microsoft Engage Mentee

Apr 2022 – Jun 2022 · 2 mos · Remote

Developed a Web Application of Movie Recommendation System under the guidance of Microsoft Engineer.
Worked on Recommendation system for movie dataset and Build model based on algorithms like Content based, User and Item based Collaborative Filtering and KNN algorithm.

PythonFlaskMachine Learning