I'm currently a Software Engineer specializing in Machine Learning and Data Loss Prevention systems at Palo Alto Networks.

Team: DLP Detection Quality Focus: ML/NLP pipelines, Agentic AI frameworks, and autonomous quality workflows

Internal GitLab Contributions:

• Contributing to DLP Services, Detection Engine, and MLOps infrastructure
• Building high-throughput inference systems for sensitive data classification
• Developing AI-powered training data generation tools

Key Areas:

• ML/AI: Document classification, image ID detection, LLM-based validation agents
• Data Engineering: Kafka event streaming, BigQuery data warehousing, GCS/S3 object storage
• Backend: Python FastAPI services, Spring Boot microservices, gRPC
• MLOps: ONNX/Triton model serving, Prometheus monitoring, Docker/Kubernetes deployment

Languages: Python, Java
ML/AI: ONNX Runtime, Triton Inference Server, PyTorch, Transformers (Hugging Face), LangChain
Backend: FastAPI, Spring Boot, gRPC
Data: Kafka, BigQuery, MongoDB, Redis, GCS, S3
Cloud: GCP (BigQuery, Storage, Spanner), AWS (S3)
DevOps: Docker, Kubernetes, ArgoCD, GitLab CI/CD, Prometheus, OpenTelemetry

My contribution graph reflects work from my professional GitLab account, mirrored here to show development activity. Due to proprietary nature of work at Palo Alto Networks, most repositories remain private.

• GitHub: github.com/pkumar1025
• Email: praneshkumar1@berkeley.edu

Software Engineer @ Palo Alto Networks | UC Berkeley Alum