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Attah Shahid

@attahshahid

ML & Data Systems Engineer at ZYTE developing production ML models and automated data pipelines across AWS, GCP, and Elasticsearch.

Pakistan

Message

At ZYTE, I develop and maintain production ML models for entity extraction, text classification, and deduplication across multi-domain datasets. I also automate ETL pipelines integrating AWS, GCP, and Elasticsearch.

At APPSGENII TECHNOLOGIES, I built production-grade RAG pipelines using Gemini, Claude, OpenAI, and Pinecone, and developed multi-agent AI systems with FastAPI. I also fine-tuned chatbots for domain-specific use cases.

Earlier, I built NLP models for phishing-content prediction at SLASHNEXT and developed computer-vision approaches for visual re-identification and sports analytics at SIXLOGICS. My projects include MEDAI, an AI-driven healthcare platform, and a RAG-based e-commerce chatbot.

Experience

Work history, roles, and key accomplishments

Current

ML & Data Systems Engineer

Current

ZYTE

Jul 2023 - Present (3 years 3 months)

Developed and maintained production ML models for entity extraction, text classification, and deduplication across large-scale multi-domain datasets. Automated ETL pipelines integrating AWS, GCP, and Elasticsearch, and led a small team of engineers.

Machine Learning ETL AWS GCP Elasticsearch Python Data Engineering Team Leadership

Sr. AI/ML Engineer, LLMs & GenAI

APPSGENII TECHNOLOGIES

Jun 2022 - Jun 2023 (1 year)

Built production-grade RAG pipelines integrating Gemini, Claude, and OpenAI with Pinecone vector search. Fine-tuned LLM-based chatbots and deployed multi-agent AI systems with FastAPI, Google Cloud Run, and GitHub Actions.

RAG LLM fastAPI Pinecone Crew AI Google Cloud Run GitHub Actions Lang Chain Langsmith WebSockets NLU Intent Classification Entity Extraction Resume Parsing Document QA Multimodal Analysis

Machine Learning Engineer

SLASHNEXT

Jul 2020 - May 2022 (1 year 10 months)

Built NLP models in Python for phishing-content prediction using TF-IDF and Random Forest. Implemented FastAPI, Docker, Pydantic, and PostgreSQL interfaces around ML models, and contributed to automated training/testing pipelines.

Python NLP TF IDF Random Forest fastAPI Docker Pydantic PostgreSQL Feature Engineering Model Evaluation YOLO V5 Computer Vision

Computer Vision Engineer

SIXLOGICS

Sep 2017 - Jun 2020 (2 years 9 months)

Developed Siamese-network, CLIP Transformer, and Vision Transformer approaches for visual re-identification. Implemented OpenCV and image-processing techniques for sports performance analysis and built a real-time sports analytics system.