With a Master of Science in Computer Science from Lakehead University, I have developed a strong foundation in various programming languages, machine learning, data analysis, and data visualization techniques. I have also gained hands-on experience in image processing and data streaming/pipelines with Apache Kafka through my academic projects, such as image pre-processing for lung disease detection and safety sign detection with haptic feedback.
As a software engineer at Viral Nation, I have applied my skills and knowledge to lead and collaborate with teams of developers on innovative and impactful products. I have successfully reduced the turnaround time of VN Secure, a product for social media-based background checks, by 85% and increased the throughput by 60% by adapting the data streaming/pipeline architecture. I have also led the conversion of eight existing REST API-based analysis repositories to Kafka data streaming with image, video, and text-based ML models to perform multiple forms of content analyses. Furthermore, I have contributed to the development of a mobile application with Flutter, achieving a 50% reduction in bundle size and over 5000 users before the final launch.
I am passionate about creating solutions that leverage the power of data and machine learning to solve real-world problems and enhance user experiences. I am always eager to learn new technologies and tools, and to work with diverse and talented teams. I am looking for opportunities to further develop my skills and competencies, and to make a positive impact in the industry.
-
🔭 I’m currently working on Viral Nation_Secure
-
🌱 I’m currently learning Go, Apache Airflow and NeoVim
-
❓ Ask me about anything related to MERN stack, Python, Machine Learning, Apache Kafka and related technologies
-
📫 Reach me at [email protected]
-
⚡ Fun fact: I am an avid gamer and would like to stream some day
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent