Sambeet Sekhar Dhal
Bhubaneswar
Summary
Dynamic Software Engineer with experience at Tata Consultancy Services, excelling in Java development and microservices architecture. Proven ability to enhance application security and streamline deployments through Spring Boot and CI/CD practices. Strong collaborator with a focus on code efficiency and robust API design, driving impactful solutions in fast-paced environments.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Software Engineer
Tata Consultancy Services
Bhubaneswar
06.2021 - Current
- Applied strong knowledge of core Java concepts like OOP, collections, and multithreading.
- Demonstrated proficiency in utilizing frameworks such as Spring, Hibernate, and JPA for robust applications.
- Optimized authentication processes through Spring Security and OAuth2 to bolster security protocols.
- Engineered stand-alone applications leveraging Spring Boot for streamlined production deployments.
- Enhanced features of point-of-sale systems through Java and Spring Boot applications.
- Executed database management tasks with SQL using MySQL, PostgreSQL, or Oracle systems.
- Developed RESTful web services focused on microservices architecture implementation with Spring Boot.
- Combined root-level authentication and authorization technologies with ongoing system design to harden finished solutions.
- Configured CI/CD pipelines for efficient automation of build and deployment strategies.
Education
Bachelor of Technology - Computer Science and Engineering, Minor in Machine Learning
Lovely Professional University
Punjab, India01.2021
Skills
- Software development (Java, C, Python, JavaScript)
- Frontend technologies (HTML, CSS)
- Relational databases (MySQL, PL/SQL, PostgreSQL)
- Versioning systems (Git)
- Cloud services (Amazon EC2, Amazon S3)
- Microservices patterns
- API design (RESTful services)
- Code efficiency
- Automated deployment
Websites
Certification
- Competitive coding, Eminence, 2020
- Simple Recurrent Neural Network with Keras, Coursera, 2020
- Machine learning, IIT Madras by NPTEL, 2019
Projects
Smart Vehicle Number Plate Recognition System, Group Project, Lovely Professional University, This is a deep learning model that is designed to detect number plates and extract the details of the corresponding vehicle, this project is designed and developed in a group of 5 people as a part of SMART INDIA HACKATHON, the details in the number plate is extracted using OCR(optical character recognition) engine and is then further processed by a CNN network, then the extracted info is forwarded to clip out info about the vehicle.
Timeline
Software Engineer
Tata Consultancy Services
06.2021 - Current
Bachelor of Technology - Computer Science and Engineering, Minor in Machine Learning
Lovely Professional University
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