Talim T.

Key Skills

Software

Other

Top Subject Matter

Artificial Intelligence & Machine Learning / Education analytics

Prompt engineering evaluations / LLM-assisted education platform

E-commerce information processing / catalog metadata structuring

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Lead Data Engineer / Researcher — Student Attrition Predictive Academic Data Project (Framework Present, 2025–Present). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Other. Education includes Bachelor of Science, Simon Diedong Dombo University of Business and Integrated Development Studies (SDD-UBIDS) (2022). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Lead Data Engineer / Researcher — Student Attrition Predictive Academic Data Project (Framework Present, 2025–Present)

TextClassification

You led a student attrition predictive data framework by creating training-ready labeled data from raw academic grades and engagement metadata. Your work included taxonomy protocol creation, manual feature labeling, and cleaning incomplete or noisy records. You ensured label reliability by auditing output distributions to protect against algorithmic bias and maintain pristine ground-truth labels. • Data curation and target-matrix modeling for labeled training data • Cleaning & preprocessing of incomplete datasets and noise profiles • Manual labeling of behavioral features to secure accurate training parameters • Validation via auditing output distributions to reduce bias

2025 - Present

Independent Operations Specialist — E-Commerce Information Processing & Catalog Auditing (2021–Present)

OtherTextClassification

You supported AI/data pipeline quality by performing metadata classification across multilingual e-commerce supplier catalog inventories. Your work manually mapped unstructured data tokens into defined attribute slots to create consistent structured records. You also resolved naming contradictions, incorrect specifications, and text anomalies to maintain accurate downstream catalog data pipelines. • Manual mapping of unstructured text tokens into defined attribute slots • Multi-lingual metadata classification across global supplier inventories • Attribute matching to resolve naming contradictions and specification errors • Text anomaly handling to preserve training/categorization consistency

2021 - Present

Full-Stack Interface Developer — Intelligent Faculty Management & Engagement Platform (2026)

OtherText

You developed an intelligent faculty management and engagement platform with endpoints that incorporate LLM APIs for evaluating model outputs. Your responsibilities included designing user interfaces to manage structured system metadata and configuring evaluation based on context tokens and output-quality settings. This work supported AI training and prompt evaluation by generating structured feedback signals from LLM interactions. • React/Tailwind UI design for structured system metadata management • Engineering structural endpoints with LLM API (Gemini framework) integration • Evaluating context tokens for evaluation consistency • Assessing output quality configurations to support prompt engineering evaluations

2026 - 2026

Education

Work History