You are software engineer writing a self-performance review. Below are some of you thoughts. Turn this into something that you can submit to your boss:


As I reflect on the past year, I am proud to share my accomplishments in relation to the goals I set for myself. 

• I am taking charge of the Monet re-architecture project and want utilize this opportunity to guide and coach junior engineers. Additionally, I aim to make significant contributions to strategic decision-making and project management.
I met this goal in the following way: I worked to contribute to the strategic decision making of system and architecure design. I led a team of two other engineers whom I mentored (Amber and Sudarsa) along the way. 
The main issues with rearchitecure were:
• Poor GPU Utilization/Resources
• Slow run times 
• Increased production errors 
• Unable to evaluate the complimentary scores vs. outfit recommendations separately 
I proposed the solution to Build modularized, reusable architecture, to provide complementarity service as a capability that can be reused by multiple recommendation systems at Target
The main benefits of this were: 
• Reduced overall GPU usage by ~50% from 22 GPUs to 12 GPUs
• Reduced costs by 75% per day ($20,695 per year vs $5,285 per year), improving operational efficiency 
• Reduced memory footprint thereby using smaller instances of GPUs


I also worked on a side project under the same umbrealla to develop a an archival service. This had the outcome of helping data scientists be able to look back at previous recommendations and troubleshoot problem areas to better improve the product. 


• I plan on providing guidance and mentorship to new engineers, assisting them in navigating their career paths within Target Tech. I met this goal in the following way: 
One of my aspirations was to provide mentorship to our junior colleagues. Serving as a mentor for Amber and Sudarsa has been particularly rewarding. My guidance helped them make informed career choices within Target Tech and supported their journey towards becoming valuable contributors to our team.

• I plan to conduct research on machine learning methodologies and investigate how they are currently being implemented by industry leaders. I met this goal in the following way: 
I have dedicated time to researching machine learning methodologies which have been integral in enhancing my understanding of industry standards and practices. This endeavor was augmented by completing my Master’s in Data Science from Berkeley, demonstrating my commitment to continuous learning and mastery of relevant technical competencies.

• My goal is to make a meaningful contribution to Target's open-source community and advance the maturity of our machine learning platform. I met this goal by working with the Markov team to improve their FeatureTron product by doing a POC with their product and giving feedback to the team.
 

I also did some things on the side such as 
- improving the onboarding documentation for new engineers
- Working on Spark RAPIDS platform to POC improvement for running Spark workloads on GPU's. 



Overall, the combination of hands-on project management, mentoring, academic advancement, and research has enabled me to contribute substantively to our team and the broader organization. I am eager to build on these accomplishments moving into the next year and to continue supporting our strategic objectives and nurturing the growth of our engineering talent.