Shivam is a Full-Stack Developer with extensive experience in creating scalable and efficient web applications. He has demonstrated ownership of backend development and has successfully deployed applications on major cloud platforms. His proficiency in technologies like Python, Django, and React allows him to deliver high-quality projects on time. Shivam is passionate about staying updated with emerging technologies and continuously seeks new challenges to enhance his skills.
Spearheaded the development of the Node.js backend for the Smooz dating application.
Implemented a RASA-powered chatbot for user signup processes and general inquiries.
Optimized existing APIs and codebase for enhanced system performance and efficiency.
Successfully deployed and managed applications on Azure, AWS, and GCP.
Played a key role in enhancing an online education platform for corporate and college students.
Designed and implemented a new chatbot from the ground up, improving user experience.
Optimized existing APIs and codebase, demonstrating a commitment to enhancing system performance.
Overview: This educational technology platform empowers institutions to efficiently oversee their internal courses and manage in-house educational programs. Responsibilities: Developed and maintained a Django and Vue.js-based web and mobile application for the online education platform. Implemented a RASA-powered chatbot for user signup processes and general inquiries, enhancing user experience.
Key outcomes:
Enhanced an online education platform for corporate and college students.
Designed and implemented a new chatbot from the ground up to handle sign-up processes.
Overview: Smooz is an online Dating Application and networking platform that displays profiles of potential matches to users. Responsibilities: Spearheaded the development of the Node.js backend for the Smooz dating application, creating robust and scalable server-side solutions.
Key outcomes:
Spearheaded the development of the Node.js backend for the Smooz dating application.
Overview: This project focuses on accurately parsing resumes using Affinda's Recruitment AI solutions to streamline the hiring process. Responsibilities: Proficiently implemented OCR and NER technologies for resume parsing, utilizing libraries such as pdf2image, SpaCy, and py2resparser.
Key outcomes:
Proficiently implemented OCR and NER technologies for resume parsing to extract and interpret information.
Shivam
Full Stack Developer