Abdullah Bin rashid
AI/ML Developer (Entry-Level)
Experience
AI/ML Developer (Entry-Level)
IrenicTech
- Data cleansing, validation, ETL troubleshooting.
- Built and deployed a Quran-based chatbot using NLTK for lemmatization and vectorization.
- Integrated APIs for smooth data flow and accurate natural language responses.
- Preprocessed datasets (millions of records) using tokenization, stemming, and lemmatization techniques.
AI & Data Science Virtual Internship
British Airways
- Feature engineering, experimental data design, error analysis, predictive modeling, precision and recall studies, signal investigation, clustering, classification.
- Built sentiment analysis models and visualizations (histograms, predictive models) for insights.
- Delivered data-driven recommendations to improve customer experience strategies.
Associate Data Scientist — AI Research & Model Diagnostics
Motive (formerly KeepTruckin)
- Investigate ML model behavior on multimodal telematics data (video streams, GPS, accelerometer, event metadata) to identify failure patterns, signal weaknesses, and data gaps.
- Build Python-based research scripts for precision/recall measurement, edge-scenario clustering, and detection quality benchmarking across millions of events.
- Design experiments for annotation policy updates and quantify impact of data enrichment strategies on model signal strength.
- Develop large-scale SQL pipelines to extract misclassification clusters, identify false positives at scale, and build reproducible diagnostic datasets.
- Collaborate with ML engineers on iterative data investigations, model improvement hypotheses, and experimental dataset formulation.
- Produce internal research reports that guide labeling methodology, retraining priorities, and new behavioral detection categories.
Summary
Research-driven AI practitioner with hands-on experience investigating ML model behavior on large, unstructured datasets. Skilled at building Python + SQL pipelines for exploratory data analysis, misclassification diagnosis, and precision/recall improvement. Experienced working with multimodal telematics/video data, experimental tagging policies, and iterative signal studies to improve production ML systems. Strong foundation in model experimentation, data system design, and research-style reasoning.
Skills
Programming: Python, C#, Sql
Databases: Snowflake, Bigquery
Data Analytics & Visualization: Sql Query Optimization, Redash, Excel, Jupyter Notebook
Ml & Data Research: Feature Engineering, Experimental Data Design, Error Analysis, Precision/recall Studies, Signal Investigation, Clustering, Classification
Data Quality: Data Cleansing, Validation, Etl Troubleshooting
Nlp: Nltk, Spacy, Hugging Face, Llms (Gpt, Bert)
Ai/ml Context: Model Tagging, Annotation Platforms, Precision/recall Metrics
Data Formats & Apis: Json, Csv, Rest Apis
Collaboration Tools: Git, Jira, Confluence, Google Workspace
Improved Model Detection Precision By 20% Through Targeted Annotation And Analysis
Led Root Cause Investigations That Uncovered Major Camera Configuration Errors
Processed And Analyzed Datasets With Millions Of Records For Ml Applications
Languages
Education
Sir Syed University Of Engineering & Technology
Bachelor's Degree in Computer Science · Computer Science · Karachi, Pakistan · CGPA:3.59
Fazaiya Degree College
Matric & Intermediate · Karachi, Pakistan
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