A passionate Full-Stack Software Engineer, deep learning researcher, and Master's student in Computer Science at San Francisco State University. I enjoy building multimodal AI systems, full-stack applications, and reliable tools that turn research ideas into practical products.
- Master of Science in Computer Science, San Francisco State University (Expected May 2026) - GPA: 3.81 / 4.00
- Bachelor of Engineering in Computer Engineering, Gujarat Technological University (July 2024) - GPA: 3.98 / 4.00
- Multimodal Emotion Detection: Building audio-visual sentiment analysis pipelines with ResNet-18, transformers, and cross-modal attention.
- RAG-Based Recommendation Systems: Matching 10K+ job postings with curriculum data and 1K+ student profiles using Qdrant embeddings and graph-based reranking.
- Reliable AI Workflows: Designing evaluation and QA pipelines for multimodal systems with explainable scoring, semantic search, and faster iteration.
- Opus.Prism (GitHub | Demo) - Built a 5-agent AI pipeline with Qwen2.5, CrewAI, FastAPI, and Next.js that reduced prompt engineering effort by 80%, delivered multimodal voice guidance under 500 ms, and added frame-level QA automation up to 5 FPS.
- Sudoku Solver (GitHub | Website) - Developed a PyTorch, OpenCV, FastAPI, and React.js system with 99.86% digit recognition accuracy and 93.5% Sudoku grid detection and rectification success.
- Gilead Innovation Initiative Summer Research Award - $5,000
- BMC Scholarship - $2,000
- Reviewed 50+ papers in multimodal sentiment analysis and currently have 1 manuscript under review with 2 more in preparation.
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| AI / LLM |
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| Cloud / Data |
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