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Arzam Abid

@arzamabid

Data Scientist at Tecshield building transformer-based NLP pipelines that improved text classification accuracy by 15%.

At Tecshield, I designed and productionized transformer-based NLP pipelines for document classification, entity extraction, and enterprise document intelligence. Feature engineering and production-focused model tuning improved text classification accuracy by 15% and reduced manual review effort.

Across my work at DP World, Kavtech Solutions, Programmers Force, and Ebiz Ltd, I developed computer vision and machine learning systems, ETL pipelines, and backend services. At Kavtech Solutions, I reduced Google Ads API latency from approximately 500 ms to 170 ms; at Programmers Force, I improved model performance by 20%.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Tecshield

Mar 2022 - Present (4 years 7 months)

Designed and productionized transformer-based NLP pipelines for document classification, entity extraction, topic modeling, and semantic analysis. Improved text classification accuracy by 15% through feature engineering and model tuning.

NLP Transformers Document Classification Entity Extraction Topic modeling Semantic Analysis Feature Engineering & Model Tuning Machine Learning API Development

Machine Learning Engineer

DP World

Dec 2022 - Feb 2024 (1 year 2 months)

Architected computer vision pipelines using YOLO, Mask R-CNN, and CNN-based components for object detection and video analytics. Optimized video inference workflows with OpenCV, FFmpeg, and GPU-aware processing.

Computer Vision YOLO Mask RCNNs CNN Object Detection Image Segmentation Video Analytics OpenCV FFMPEG NVENC GPU Computing Flask Django Microservices

Data Engineer

Kavtech Solutions

Feb 2022 - Sep 2022 (7 months)

Engineered ETL and analytics pipelines using Python, SQL, Pandas, and NumPy. Reduced Google Ads API latency from approximately 500ms to 170ms by redesigning ingestion workflows.

ETL Python SQL Pandas NumPy Data Ingestion data transformation Data Validation Google Ads APIs Performance Optimization

Junior Data Scientist

Programmers Force

Feb 2021 - Feb 2022 (1 year)

Developed machine learning models across more than 1000 classification categories. Improved model performance by 20% through hyperparameter tuning and feature selection.

Machine Learning Classification Data Cleaning Feature Engineering Hyperparameter Tuning Model Evaluation Exploratory Data Analysis Statistical Analysis