shivani User
@shivaniuser9
MNNIT Allahabad 2026 | Mototola solution intern | C++ | Java | python | MERN stack | GenerativeAI | Machine learning | RAG | LLM | Agentic AI
What I'm looking for
I've built backend microservices for Motorola Solutions' Push-to-Talk platform, supporting high-availability enterprise communication across 5+ regions and thousands of concurrent users.
I created a self-healing locator recovery framework with Python and Google Vertex AI that autonomously recovered 95% of locator-level failures across 500 cases.
In my projects, I've built EmoSense, a multimodal facial emotion analysis and RAG system using PyTorch, LangChain, ChromaDB, and Streamlit. I fine-tuned ResNet-18 on FER-2013 to achieve 68%+ validation accuracy and 3x faster inference than baseline for real-time edge deployment.
I've also developed MUSIXON, a MERN music streaming application with sub-200ms response times, 50+ concurrent streams, genre-based recommendations, playlists, sharing, and lyrics viewing.
Experience
Work history, roles, and key accomplishments
Engineered and maintained backend microservices for Motorola's Push-to-Talk platform, supporting high-availability enterprise communication. Built a self-healing locator recovery framework using Python and Google Vertex AI, and designed automated HA validation frameworks to reduce manual testing effort.
Education
Degrees, certifications, and relevant coursework
Motilal Nehru National Institute of Technology Allahabad
Bachelor of Technology, Electronics and Communications Engineering
2022 - 2026
Grade: CPI: 8.01
Activities and societies: Computer coding club, Enactus cluc, Dramatics club
Pursuing Bachelor of Technology in Electronics and Communications Engineering with a CPI of 8.01.
Vidyamandir Senior Secondary School
Class XII (CBSE), General Studies
Grade: 90%
Completed Class XII under the Central Board of Secondary Education with 90%.
St. Xavier's School Hazaribagh
Class X (CBSE), General Studies
Grade: 96.8%
Completed Class X under the Central Board of Secondary Education with 96.8%.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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