Jey Kottalam
Verified Expert in Engineering
Computer Science Developer
Berkeley, CA, United States
Toptal member since May 14, 2020
Jey is a computer scientist specializing in high-performance system software, machine learning, mathematical optimization, and related areas. He has created predictive tools, libraries for conducting massive data analysis, contributed to the development of frameworks, and worked as a research engineer at the University of California, Berkeley. Jey is an accomplished software engineer proficient across a multitude of back-end technologies.
Portfolio
Experience
- C++ - 18 years
- Performance Optimization - 15 years
- Algorithms - 15 years
- Python - 15 years
- R&D - 15 years
- Compilers - 10 years
- Distributed Computing - 8 years
- Apache Spark - 7 years
Preferred Environment
MacOS, Linux, Java, Python, Rust, Julia, C++, C, Algorithms
The most amazing...
...machine learning system I've developed dynamically personalizes shopping experiences by predicting which items each user will like the most.
Work Experience
Senior R&D Engineer
University of California, Berkeley - EECS Department
- Contributed to the Apache Spark cluster computing framework. Focused on Python API performance optimizations and platform compatibility issues and provided technical and engineering support to outside collaborators.
- Developed an interface to Apache Spark in the Julia language. Julia is a programming language for high-performance numerical and scientific computing applications.
- Created RISE Camp software for conducting web-based training workshops on cluster computing and cloud computing. Implemented using Jupyter notebooks, Docker containers, Node.js, and PostgreSQL.
Research Fellow
Berkeley Institute for Data Science
- Developed Alchemist, a C++ library for conducting high-performance massive data analysis from within existing Apache Spark pipelines. Alchemist provides for calling MPI-based distributed linear algebra routines from within APIs native to Apache Spark.
- Held regular office hours to assist research scientists and graduate students in designing and developing analyses, debugging code, architecting solutions, and general technical and engineering support.
- Performed research and development activities in statistical algorithms and computational statistics.
Principal Consultant
Adjective Noun, LLC.
- Provided software design, development, and debugging services in cloud computing, interpreters, servers, databases, and other user-space systems software in Linux, Mac, Unix, and Windows environments.
- Designed and implemented an algorithm in C++ for evaluating outcomes in a probabilistic decision analysis application.
- Created network traversal layer in Java for a P2P application to resolve problems encountered when running on end-user networks that employ network address translation (NAT).
- Developed an extensible and power-efficient embedded Linux distribution for use in touchscreen kiosks.
Compiler Software Engineer
Coral8, Inc.
- Contributed to the compiler for a streaming data query language based on SQL, implemented in C++.
- Implemented multiple language features including scalar variables, inline schemas, type inference, constant expression folding, and write-to-database.
- Completed several projects in the query optimizer, execution plan optimizer, internal representations, and infrastructure.
Experience
Taste
Alchemist
GCC-CIL
Autonomous Vehicle Grand Challenge Team - University of California, Davis
Skills
Libraries/APIs
PySpark, Node.js, Keras, TensorFlow, React, MPI, PyTorch, Win32 API
Tools
Valgrind, CMake, Buildroot, Chrome Developer Tools, Jupyter
Languages
SQL, C++, Python, Julia, C, Reason ML, Rust, JavaScript, Java, Scala, Prolog, OCaml
Frameworks
Boost, Spark, Apache Spark, Hadoop, Google Test, Express.js, React Native, Ruby on Rails (RoR)
Paradigms
Parallel Programming, Cross-platform, Metaprogramming, Template Metaprogramming, ETL, Dataflow Programming, Distributed Computing
Platforms
Docker, Linux, iOS, Android, Amazon Web Services (AWS), Google Cloud Platform (GCP), Embedded Linux, MacOS
Storage
PostgreSQL, Google Cloud Datastore, Redis, Databases, MySQL
Other
Software Architecture, Performance Optimization, Algorithms, R&D, Machine Learning, Scientific Computing, Mathematical Modeling, Deep Learning, Google V8, React Native Bridge, Operations Research, Cloud Computing, Compilers, Database Engines, Combinatorial Optimization, Computer Vision, Linear Algebra, Statistics, Relational Algebra
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