Princy Iakov
GenAI And AI Specialist at Income Insurance Limited
Singapore
Summary
🤩
Rockstar🎓
Top SchoolPrincy Iakov is a GenAI and AI specialist with six years of hands-on experience building and deploying NLP, computer vision, and robust data pipelines across finance, healthcare, and enterprise settings. She has driven measurable impact—leading a team at OCBC to a document classifier that improved processing efficiency by 40% and cutting deployment times 50% via CI/CD automation—while also producing healthcare POCs for heart failure and cancer estimation at Omdena. Comfortable across the ML lifecycle, she ships production models on AWS SageMaker, authors evaluation tests for open-source AI tooling (contributions to Giskard’s model evaluation suite), and bridges technical and non-technical stakeholders to align AI with business outcomes. Summa Cum Laude with an MSc in Data Science & AI and recognized among the top 2% talent at Omdena, she combines strong engineering discipline with a knack for pragmatic, high-impact solutions.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at LTCOEApplied MSc in Data science and Artificial Intelligence Data science and Artificial Intelligence, Applied MSc in Data science and Artificial Intelligence Data science and Artificial Intelligence at DSTI - School of Engineering
English, French, Hindi, Malayalam, Tamil, Marathi
Github Skills (11)
eval10
python10
evaluation10
llm10
backend9
back-end-development9
mlops9
api8
javas8
java8
apidoc8
Programming languages (4)
Github contributions (5)
Giskard-AI/giskard
Apr 2022 - Jan 2023
🐢 Open-Source Evaluation & Testing for AI & LLM systems
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:13 reviews, 259 commits, 31 PRs in 8 months
Contributions summary:Princy contributed to the backend of the AI and LLM systems evaluation platform, as indicated by the code changes in `FeedbackController.java` that involved API and UI related improvements, text, dataset, and model handling. The user also worked on ML model evaluation by adding documentation, and implementing performance tests for AUC, F1 score, accuracy, precision, recall and RMSE in `performance_tests.py`. The user's work focuses on improving the testing and documentation for the model.
continuous-integrationtesting-toolsquality-assuranceml-validationmlops
princyiakov/Drone_Face_Recognition
Mar 2021 - Jun 2023
Contributions:18 pushes, 1 branch in 2 years 3 months
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