San Jose, California, United States
● Highlights: - Experienced software engineer - Strong Math and CS background - Passionate about distributed systems, machine learning and robotics ● Technical competency: - Programming languages experties : C++17/20/23, Python3, Rust, Java - Web Development: Javascript, Python (Flask/FastAPI), HTML/CSS - Distributed Tools: Elasticsearch, Docker, Consul, Apache Marathon/Mesos/Kafka - Cloud Technologies: Amazon AWS(EC2/S3/Lambda), Microsoft Azure - Operating systems: Linux, Windows - Databases : NoSQL/Graph : MongoDB, Cassandra DB SQL : MySQL, PostgreSQL ● Machine Learning/ Robotics - ML tools: Huggingface, Langchain/Langgraph, TensorFlow, Pandas, Sci-kit learn, NumPy/SciPy, Matlab/Octave - Robotics: ROS2 (Robot operating system), Robot Kinematics, SLAM, Navigation, and path planning. - Simulation environments: Gazebo ● Additional details - Projects: https://ashishbende.com/projects/
• Contributed to an OpenDaylight based SDN(Software-defined networking) controller project. • Topology: A module that discovers physical network inventory and builds topology representation. Developing a physical topology visualization feature across different abstraction layers to pinpoint exact network alarm events. Improved system monitoring capability with fast and accurate network-device events processing. • MLPCE: A path computation engine responsible for creating a service route across network resources. Implemented various constraint-based path calculation features. Extended controller capability by modeling a set of new network entities. • NorthBound: A user-facing GUI component, facilitating system interactions. Developed user request forms and API endpoints handling the requests. Worked on translating vendor-neutral open-standard (OpenROADM) service requests to an internal representation. • Project details: www.fujitsu.com/global/products/network/products/virtuora-nc
In summer, I worked as a full-stack software engineering intern at Rackspace. Developed a data-connector for Elastic search datastore, and helped to integrate it into other apps infrastructure. ( More details: https://www.objectrocket.com/blog/data-connectors/streaming-twitter-to-elasticsearch-and-kibana/ ). Technology stack: - Python Flask, ReactJS (Flux/Redux), Golang - Docker microservices - Apache Mesos/Marathon, Consul, RabbitMQ - MongoDB, ELK Stack (Elasticsearch, Logstash, Kibana)