Data Scientist at Upwork (2021-06 – Present)
- Developed custom machine learning models tailored to client-specific business challenges, translating complex data into actionable insights.
- Implemented advanced data preprocessing pipelines to handle messy datasets, boosting model accuracy and reliability.
- Participated in regular code reviews enforcing best practices, reducing project delivery time and improving maintainability.
AI Trainer & Machine Learning Engineer at Outlier AI (2023-01 – Present)
- Collaborated with data scientists to refine AI training models and methodologies, increasing model accuracy by 15% over 6 months.
- Designed and curated training materials to simplify complex AI concepts, improving team knowledge across varying technical backgrounds.
- Led interactive workshops on AI functionalities, fostering a culture of continuous learning and best practice adoption.
NLP Engineer (Internship) at NTI (2025-08 – 2025-08)
- Built NLP models for text classification and sentiment analysis, improving insight accuracy from textual data.
- Applied machine learning for topic modeling to extract nuanced meaning from user feedback.
- Performed data preprocessing and feature extraction from large-scale text corpora.
- Achieved an evaluation score of 97.8% during the internship.
Computer Vision Engineer (Internship) at NAID (2025-07 – 2025-09)
- Developed computer vision algorithms for real-time image processing applications.
- Designed and implemented end-to-end data pipelines for training and validating CV models.
- Conducted model performance experiments to drive object detection improvements.
AI Engineer (Internship) at ITI (2025-08 – 2025-08)
- Developed ML models improving data analysis and prediction accuracy for production use cases.
- Designed NLP algorithms to enhance user interaction experiences.
- Implemented data preprocessing techniques ensuring high-quality model input.
- Researched emerging AI technologies to inform project roadmap decisions.