Experience

• 

  Aspiring scholars directed research program (asdrp)

  Jun 2021 - Jun 2022

  Student researcher
• 

  Milestone technologies, inc.

  Jun 2023 - Aug 2023

  Ai/ml intern

  - Collaborated with team of professionals to fine-tune pre-trained causal LLM on susceptible private company documents, deployed the optimized LLM to significantly speed up data retrieval processes- Developed proficiency in Python, AWS, terminal navigation, pre-training LLMs, accessing/fine-tuning existing ML models

• 

  Magic software enterprises

  Aug 2023 - Oct 2023

  Data science intern @ factoryeye

  - Developed a predictive algorithm using 20 years of TagGraph data, accurately forecasting machinery downtimes 80% of the time based on parameters like impmill, burner, inlet temperature, etc- Collaborated with team of 4 to seamlessly integrate the model, enhancing real-time preventive measures and optimizing costs due to enhanced machine lifecycle management

• 

  Brunswick corporation

  Jan 2024 - Aug 2024

  Swe intern

  - Developed and tested CVML models (SSD, YOLO, DINO) using Luxonis POE cameras, implemented a cost-efficient blind spot monitoring solution (AU1 Project) for Brunswick boats, resulting in 36% blind spot detection improvement and enhanced safety features appealing to budget-conscious customers (94% decrease in cost, $10k -> $600 CVML package)- Engineered an intuitive and visually engaging user interface for boat dashboards at Brunswick, incorporating nearby boat and swimmer detection capabilities, significantly increasing swimmer safety (5,000 deaths per year currently) and improving user experience- Spearheaded the integration of dual Luxonis cameras into Brunswick boat designs, enabling real-time wakesurfer tracking and wipeout detection via YOLO models; innovated a gamification system that scores wakesurfing tricks, enhancing safety and user engagement. Integrated these features with an NSX display via sockets connecting to camera outputs Show less