🚀 AI Systems Engineer | Distributed Systems | Real-Time ML Pipelines
- Software Engineer working on real-time V2X systems and edge intelligence
- Building end-to-end AI pipelines (Kafka → Spark → ML → Deployment)
- Strong focus on low-latency, high-throughput systems
- Interested in scalable ML infrastructure and system design
Languages: C++, Java, Python
AI/ML: scikit-learn, TensorFlow, MLflow
Systems & Data: Kafka, Spark Structured Streaming, TimescaleDB, MQTT
Infrastructure: Docker, AWS (EC2/S3/Lambda), Linux (WSL2)
- End-to-end ML pipeline (local → streaming → deployment)
- Real-time hazard detection system (Kafka + Spark + ML)
- Scalable model deployment system
- ML End-to-End Pipeline
- Real-Time Streaming ML System
- Model Deployment Platform
- LinkedIn: https://linkedin.com/in/ankushdhanda