Open to opportunities

Shifad Shukkoor

@shifadshukkoor

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I build production LLM, RAG, and data engineering systems that automate real-world workflows.

United Arab Emirates

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What I'm looking for

I'm looking to build production AI, LLM, RAG, and data engineering systems that automate meaningful business workflows, with opportunities to apply Python, NLP, APIs, and scalable data platforms.

I've built production AI systems in Dubai, including a multimodal RAG chatbot at Elevate Capital using Falcon LLM, FAISS, Sentence Transformers, and Whisper voice capabilities.

As founder of DrScribeAI.com, I built an AI-powered clinical scribing platform that automates physician-patient documentation through NLP, speech-to-text pipelines, REST APIs, and LLM-assisted clinical note structuring.

At Nagarro, I built scalable ETL pipelines with Python, Apache Airflow, and Google BigQuery, while developing API integrations, automation scripts, and an end-to-end customer churn prediction model.

My deep learning research on multimodal deepfake detection achieved 98.2% classification accuracy across image, video, and audio data and was published in IJSREM.

Experience

Work history, roles, and key accomplishments

Data Engineer Intern

Nagarro

Dec 2025 - Mar 2026 (3 months)

Built scalable ETL pipelines using Python, Apache Airflow, and Google BigQuery; implemented data validation and quality gates. Developed REST API integrations and deployed a customer churn prediction model.

Python Airflow BigQuery SQL ETL REST APIs Data Validation Data Pipelines

Education

Degrees, certifications, and relevant coursework

APJ Abdul Kalam Technological University

Bachelor of Technology, Artificial Intelligence and Data Science

2021 - 2025

Grade: 6.75/10

Activities and societies: Published research: Hybrid Deep Neural Network for Multimodal Deepfake Detection, IJSREM, Vol.09, Apr 2025. DOI: 10.55041/IJSREM45707.

Pursued a Bachelor of Technology in Artificial Intelligence and Data Science, achieving a CGPA of 6.75/10. Published research on multimodal deepfake detection in a peer-reviewed journal.