V

Vinod Jatav

Software Engineer

Gurugram, Haryana, India5 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Full-Stack Development with a focus on innovative solutions.
  • Proven track record in building scalable and secure applications.
  • Passionate about integrating AI and IoT technologies.
Stackforce AI infers this person is a Full-Stack Developer with expertise in AI and IoT solutions.

Contact

Skills

Core Skills

Full-stack DevelopmentBackend DevelopmentFrontend DevelopmentApi DevelopmentMachine LearningDeep Learning

Other Skills

AWSAlgorithmsAndroidBack-End Web DevelopmentBlockchainBlockchainsC++CSSCascading Style Sheets (CSS)CommunicationCompilersComputer NetworkingComputer ScienceCore JavaCreative Problem Solving

About

At Siemens, my journey as a Software Engineer has been defined by a strong commitment to innovation and impact in Full-Stack Development. With a Computer Science foundation from the Indian Institute of Information Technology Una, I have contributed to building scalable, secure, and user-centric applications by leveraging Java, Spring Boot, Python (FastAPI, Flask), and modern frontend frameworks like React and TypeScript. Technical Skills & Expertise: Backend: Java, Spring Boot, Python (FastAPI, Flask), GraphQL Frontend: React, JavaScript, TypeScript, HTML, CSS Databases: MySQL, InfluxDB, ChromaDB (Vector DB), MongoDB Atlas Vector Search Cloud & IoT: AWS IoT Core, MQTT, AWS Bedrock GenAI & Emerging Tech: LLMs, Retrieval-Augmented Generation (RAG), LangChain Tools & Practices: GitLab, Jira, Agile methodologies, Docker, Snap Containers Professional Experience: At Siemens Technology India, my role extends beyond coding — I design and deliver end-to-end solutions that integrate IoT devices, cloud services, and AI. I have implemented secure OPC UA operations, scalable backend services, intuitive UIs, and GenAI-powered pipelines that improve productivity and unlock new possibilities. My contributions span frontend, backend, and AI-driven solutions, ensuring software that is not just functional but transformative. Personal Attributes: I am a quick learner, problem solver, and team collaborator who thrives in dynamic environments. My passion for continuous learning keeps me aligned with the latest trends in full-stack and AI development. Career Goals: I aspire to take on new challenges that blend full-stack development with GenAI/LLM-driven innovation, contributing to projects that make a meaningful impact in IoT, automation, and enterprise AI.

Experience

5 yrs 2 mos
Total Experience
2 yrs 7 mos
Average Tenure
4 yrs 9 mos
Current Experience

Siemens technology india

Software Engineer

Sep 2021Present · 4 yrs 9 mos · Gurugram, Haryana, India · Hybrid

  • At Siemens, my role extends beyond coding to creating impactful solutions that address real user needs. I have a proven track record of building scalable and reliable applications, collaborating with cross-functional teams to deliver software that is both functional and transformative. My work spans across Frontend, Backend, Cloud, and emerging technologies like GenAI — enabling innovative, secure, and future-ready solutions.
JavaSpring BootPythonGraphQLReactJavaScript+8

Qwikstudios

Software Engineer

Jan 2021Jun 2021 · 5 mos · Noida, Uttar Pradesh, India

  • Developed two core modules for Quick-Banner: a brand asset management system and an Unsplash API-integrated image search application. Utilized HTML, CSS, JavaScript, React.js, and MySQL.
  • Designed and implemented REST APIs using Java and Spring Boot to interact with a MySQL database and power the Quick-Banners front-end application.
HTMLCSSJavaScriptReact.jsMySQLJava+3

Bennett university

Summer Internship on Artificial Intelligence and Deep Learning

May 2019Jul 2019 · 2 mos · Greater Noida (U.P.), India

  • Developed a bird identification system using deep learning, trained on the Caltech-UCSD Birds dataset. Created a user-friendly Android application to predict bird categories based on minimal sample input.
  • Experimentally evaluated various deep learning models, including VGG16, VGG19, ResNet50, and MobileNet. Achieved a peak accuracy of 97.98% using a fine-tuned MobileNet model with Keras and Deep Learning.
  • Collaborated with a team to produce a research paper and complete associated documentation.
PythonMachine LearningKerasDeep LearningAndroid

Education

Indian Institute of Information Technology Una

Bachelor of Technology - B. Tech — Computer Science and Engineering

Jan 2016Jan 2020

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