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Viviktha VujagiriVV
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Viviktha Vujagiri

@vivikthavujagiri

Machine learning engineer focused on deployable CV and embedded AI solutions.

India
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What I'm looking for

I seek hands-on ML/CV roles where I can build and deploy embedded and web AI solutions, work on end-to-end systems, and grow in collaborative, impact-focused teams.

I am a machine learning engineer with hands-on experience building and deploying computer-vision systems, real-time embedded AI, and data-driven dashboards. I have developed production-capable projects—ASL recognition, JetBot autonomous navigation, and a Random Forest quality-classifier—delivering high accuracy and measurable operational impact.

I combine strong software engineering foundations in Python, C++, SQL and cloud/deployment tools with practical experience on Jetson, Docker, Render and Streamlit. I lead technical projects, drive collaboration, and prioritize reproducible deployments that improve consistency and save labor while enabling scalable product integration.

Experience

Work history, roles, and key accomplishments

BL

Machine Learning Intern

Bharat Heavy Electricals Limited

Dec 2024 - Jan 2025 (1 month)

Proposed and implemented a ML system to classify factory tools as Reject or Rework; selected a Random Forest model with 87% accuracy and hosted a web app to enable real-time classification, saving an estimated 37.5–75 man-days annually.

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology logoTT

Thapar Institute of Engineering and Technology

Bachelor of Engineering, Computer Science Engineering

2022 -

Grade: CGPA: 7.15

Activities and societies: Relevant coursework: Object-Oriented Programming, Data Structures, Operating Systems, Software Engineering, Design and Analysis of Algorithms, Artificial Intelligence, Machine Learning, Database Management Systems, Cloud Computing, Edge AI and Robotics: Reinforcement Learning

Pursuing a Bachelor of Engineering in Computer Science with coursework in algorithms, AI/ML, databases, cloud computing, and operating systems.

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