Large scale genAI system development- agentic workflows using langgraph, langchain, and other frameworks in conjunction with MCP servers for various resources. Observability for such systems using a variety of telemetry tools.

Individual contributor on a small team building a high throughput ad network. Automating deployment using Docker and ansible. Tuning Rabbitmq for high performance. Enhancing microservices written in python, and go. Optimizing access to data in AWS Redshift, cassandra, scylladb, postgres, timescaledb, kairosdb. Building OLAP flows with Kafka and Druid. Enhancing system observability with distributed tracing- initially with zipkin and now with jaeger. Ensuring ad campaign deliverability by lowering end to end latency.

Projects that mix signal processing and machine learning. Experience with pandas, scikit-learn,numpy, libsvm, matlab. Infrastructure work including setting up distributed crawlers to gather training data, exposing models via endpoints for client use.

Backend web development, primarily in python using flask as well as occasional bits of php. Platforms in use include Heroku and AWS(EC2,S3,Redshift, DynamoDB). Datastore experience: postgres, mongo, redis. Ecommerce platforms experience: woocommerce, shopify.

Speech data analysis in python. Optical signal modeling with Matlab and RSoft. System performance tests with awk, expect, python, and TCL. Digital receiver design including DSP development in Matlab and C implementation on TI C64x. Board bring-up and test.