Portfolio
Projects
A focused set of telecom engineering and automation work. Each card links to a dedicated page with more detail.
Lead Data Engineer
Real-Time Telecom CDR Pipeline
Lead Data Engineer
Built an operational telecom ETL pipeline processing 1M+ daily CDRs for anomaly detection, SLA measurement, and automated alerts.
Improved visibility for operations teams with automated data quality monitoring and SLA reporting.
KafkaSparkAirflowDockerKubernetes
Real-time ingest and ETL for telecom CDRs
Auto-scaling Kubernetes deployment
Data quality monitoring and alerting
Data / ML Engineer
5G Network Anomaly Detection
Data / ML Engineer
Designed an anomaly detection concept for 5G network traffic that can flag unusual patterns before they impact service quality.
Adds a monitoring layer for network health and early warning analysis.
PySparkML PipelinesFeature EngineeringDocker
Streaming-friendly feature preparation
Anomaly scoring for network events
Containerized reproducible workflow
ML / Automation Engineer
LLM-Powered Telecom FAQ Bot
ML / Automation Engineer
Built a retrieval-augmented telecom FAQ assistant that combines local TF-IDF search, automatic web-source fallback, and optional LLM synthesis. It answers open-ended telecom questions from a dynamic, expanding corpus.
Can answer novel telecom questions even when they are not in the original static corpus, by combining retrieval enrichment with free LLM backends like Ollama.
FastAPITF-IDF RetrievalRAGHugging Face DatasetsUvicornhttpxOllama
Local TF-IDF vector search over a 60+ article telecom knowledge base
Automatic fallback enrichment from public sources (3GPP, GSMA, O-RAN, etc.) when local confidence is low
Optional RAG pipeline with free LLM backends (Ollama, Groq, OpenAI-compatible APIs) for synthesized answers
FastAPI service with playground and structured JSON responses
Expandable corpus with automatic chunking and keyword tagging