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Priyanka Palnati
Entry-Level Computer Science Graduate specializing in ML, data analytics, and cybersecurity
San Francisco, CAEntry-LevelTechnologyCybersecurityCloud Computing
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About
Built a Smart Resume Screening tool with a React frontend and a Python backend, owning most backend architecture and delivery. Implemented FastAPI endpoints for file upload and NLP/ML inference, created the end-to-end resume classification pipeline, logged predictions to a database for accuracy tracking, and deployed a Dockerized service optimized for low-latency, concurrent processing.
Education
University of the Pacificmaster, Computer Science (2025)
Jawaharlal Nehru Technological University Hyderabad (JNTUH)bachelor, Information Technology (2022)
Key Strengths
- End-to-end ownership of Python backend (APIs, ML integration, storage, deployment)
- Built full ML pipeline for resume classification (DOCX extraction, preprocessing, embeddings, model training)
- Designed backend for low latency (optimized model loading to avoid reload per request)
- Implemented async/concurrent request handling to prevent slowdowns under multiple submissions
- Set up database logging of predictions to track accuracy and support iterative model improvement
- Used GitHub Actions-based CI/CD with Git as source of truth (GitOps-style workflow)
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