Contact email: firstname.lastname@example.org
●Actively contributing to Kafka for two years.
Knowledgeable in Kafka’s internal design, particularly its client-side implementation as well as Kafka Streams
Used Java and Scala in my pull requests.
●Had written a fault injection Jepsen test (fault tolerance) for a database built on the RAFT consensus algorithm.
●Test code here: https://github.com/ConcurrencyPractitioner/shiva.jepsen.test
●A motivated fast learner in STEM related areas
An example is having learned Clojure in a week
●Solid grasp over C++, Java, and Scala
●Can use Linux shell with reasonable proficiency
●Complete grasp of pre-college mathematics and concepts
●Cumulative GPA: 4.0 (non-weighted)
ACTIVITIES and HONORS:
●Some contributions for Kafka listed below.
Largest contributions being KIP-205, KIP-266
Minor KIPs include KIP-534 (and a tentative one: KIP-408)
KIP-205 involves the user querying for a specific range of keys using given time range
Other contributions I have made include modifications of topologies as well as the joining of Kafka data tables.
●Have also got pull requests accepted to Apache Pulsar
●About the Jepsen test suite (used to test fault tolerance) I had written:
Some faults injected included the failure of nodes as well as the disconnection of servers (preventing them from communicating).
The database is called Shiva. I worked on Shiva during a summer internship in 2019 for Transwarp.io. It relied on a leader-follower paradigm to maintain consistency among replicas. All reads and writes occurs through the leader.
Learned how to setup the database as well as its basic functions.
●Deep Learning Knowledge: I have some knowledge in AI theory, and have implemented some basic Deep Learning operations, such as the ADAM optimizer and feedfoward networks in C++ (without using external libraries).
●Participates actively in competitions (passed USACO Gold).