Here's a copy of my most up-to-date resume rendered in html. You can also view it as a pdf:
Jordan Zangara
Work Experience
JALI Research
| Aug. 2022 – Present | Toronto, ON (Remote)
Software Engineer | Feb,
2023 – Present
- Led development of the speech and text processing system, applying
machine learning methods to solve novel NLP and NLU problems while
communicating with stakeholders to transform ideas into robust real-word
systems running on edge devices.
- Increased the product’s throughput by over 100x while increasing the
feature set, fault-tolerance and maintainability by re-thinking the data
flow and application design to robustly exploit parallelism, eliminating
many i/o operations, and operationalizing profiling and micro-benchmark
tooling to detect and replace inefficient algorithms.
- Improved developer productivity and product robustness, resulting in
fewer bugs shipping and a faster turnaround time on new changes, by
personally writing and encouraging a culture of unit and integration
testing, creating an extremely convenient logging interface that
encouraged adoption to report behavior and control flow, enabling and
enforcing compiler warnings, and introducing the team to sanitizers and
formatting tools.
- Implemented key features for securing customers and improving
renewal pricing, including custom expressions, automatic speech
recognition, and improved tagging.
- Opened market opportunities by enabling robust builds to new target
platforms, including Linux and OS X with minimal sustained effort. In
place of the existing Visual Studio project, I implemented builds for
our projects in CMake, handling dependencies robustly with vcpkg and
CMake modules. I replaced various operating system specific api usages
with the well-tested solutions available in the STL and Boost.
Software
Development Intern | Aug, 2022 – Feb, 2023 ?
- Prior to my promotion to Software Engineer, I conducted research and
implemented papers for the detection of various audio features such as
pitch (formant selection) and speech rate that were required for the
animation pipeline. I also automated various code generation and
obfuscation tasks that were previously being done by hand.
Skills
- Languages: C++, C, Python, SQL, Go
- Technologies: PyTorch, Onnx, SQLite, Eigen, Pandas, Git, Boost,
Linux, Windows, BLAS/LAPACK, OpenGL
- Theory: Optimization, Linear Algebra, Calculus/Analysis, Natural
Language Processing, Machine Learning, Deep Learning, Distributed
systems, Concurrency, Databases, Network Programming, Data Structures
and Algorithms
- Engineering: API design, Debugging, Code review, Project and
stakeholder management, Unit testing, Integration testing, Chaos
Testing, Fuzz Testing