Rupinderpal Singh
@rupinderpalsingh
I'm a Generative AI engineer specializing in MLOps and voicebots.
What I'm looking for
I am a results-driven AI/ML engineer who builds production-ready Generative AI solutions and scalable ML pipelines. I have orchestrated end-to-end deployments of Generative AI applications and launched voicebots that improved customer engagement and automated sales workflows.
At Netsmartz I led model fine-tuning with Hugging Face, implemented MLOps best practices, and built voicebots using Vapi and Retell, delivering measurable gains such as a 15% improvement in process automation and a 30% boost in initial engagement. In internships I developed a Django-based visitor registration app, an automatic license plate detection system using YOLOv7 and OpenCV, and time series forecasting models achieving solid accuracy.
I focus on clean, testable APIs and scalable architectures, using FastAPI, Docker, AWS/Azure, and modern vector databases for retrieval-augmented generation. I enjoy turning research and prototypes into reliable production systems that reduce manual work and deliver business impact.
Experience
Work history, roles, and key accomplishments
Jr. Software Engineer Intern
Netsmartz
Jul 2024 - Dec 2024 (5 months)
Developed end-to-end AI/ML solutions and engineered a Generative AI-powered outbound sales voicebot that automated 90% of initial sales call workflows and reduced lead qualification time by 4 hours per rep. Ensured 95% data accuracy in production user profiles and knowledge bases.
Release Engineer Intern
Egis Engineering
Feb 2024 - Jul 2024 (5 months)
Developed the Atithi visitor registration application using Python and Django and implemented a MongoDB database, digitizing visitor registration and replacing inefficient manual processes. Managed server-side logic including user authentication, data validation, and API integration for secure, scalable operations.
Intern
Egis Engineering
Dec 2022 - Jan 2023 (1 month)
Developed an Automatic License Plate Detection solution using YOLOv7, OpenCV, and TensorFlow for 20 surveillance cameras, improving detection accuracy from 78% to 87% within two months. Engineered a scalable cloud-based optimization framework and enhanced detection performance under varied lighting and traffic conditions.
Education
Degrees, certifications, and relevant coursework
Thapar Institute of Engineering and Technology
Bachelor of Engineering, Computer Engineering
2020 - 2024
Grade: 7.31 CGPA
Completed Bachelor of Engineering in Computer Engineering with a CGPA of 7.31 from Thapar Institute of Engineering and Technology (2020–2024).
Mount Carmel School
Senior Secondary (Class XII), Secondary Education
2018 - 2019
Grade: 70%
Completed Senior Secondary (Class XII) at Mount Carmel School with 70% (2018–2019).
Infant Jesus Convent School
Secondary (Class X), Secondary Education
2016 - 2017
Grade: 9.4 CGPA
Completed Secondary (Class X) at Infant Jesus Convent School with a CGPA of 9.4 (2016–2017).
Availability
Location
Authorized to work in
Job categories
Skills
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