V

Venkatesh Dwivedi

Backend Engineer

Varanasi, Uttar Pradesh, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Proficient in backend development with Java and Spring Boot.
  • Experience in building secure applications with JWT authentication.
  • Strong analytical skills honed through UPSC preparation.
Stackforce AI infers this person is a Backend Developer with expertise in Java and Spring technologies.

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Skills

Core Skills

Machine LearningData Science

Other Skills

AlgorithmsArtificial Intelligence (AI)C (Programming Language)C++CommunicationConvolutional Neural Networks (CNN)Data StructuresElasticsearchGitGitHubJavaMavenNumPyObject-Oriented Programming (OOP)Pandas (Software)

About

I'm a consistent and self-driven software developer with a strong focus on backend development using Java, Spring Boot, RESTful APIs, Hibernate, and Maven. After graduating from NIT Rourkela in 2021, I dedicated time to preparing for the UPSC Civil Services Examination. This journey honed my analytical thinking, discipline, and structured approach to problem-solving qualities I now bring to software development. Over the past year, I’ve transitioned into backend engineering, where I’ve built and containerized real-world applications using Java 21, Spring Boot, Spring Security, PostgreSQL, Docker, and Elasticsearch. My recent work includes a secure job portal with full CRUD functionality, JWT-based authentication, and Spring AOP for logging and validation. I also developed a course search API featuring full-text search, fuzzy matching, sorting, filtering, and autocomplete functionality using Elasticsearch. I'm confident working with tools like Git, Maven, Docker, and Postman, and I actively strengthen my coding skills through structured problem-solving and continuous project development. I'm currently seeking backend or full-stack roles where I can apply my skills, learn from experienced teams, and contribute meaningfully to impactful products.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Indian institute of technology (banaras hindu university), varanasi

Research Intern

May 2019Jul 2019 · 2 mos · Varanasi, Uttar Pradesh, India · On-site

  • The topic was ”Neural networks for modeling SiC diodes”. Trained the neural networks
  • using a back-propagation algorithm with the help of NumPy and panda using the SiC diode
  • test data for different temperatures in Python.
Data SciencePandas (Software)Machine LearningProblem SolvingProgrammingProgramming Languages+4

Education

National Institute of Technology Rourkela

Bachelor of Technology - BTech — Electronics and instrumentation

Jul 2017Jun 2021

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