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Filza Noor

@filzanoor

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Data Scientist and AI/ML Engineer specializing in computer vision, RAG, and production AI.

United States

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What I'm looking for

I seek remote roles building production-ready AI systems—particularly in computer vision, RAG/LLM applications, and scalable MLOps—where I can lead end-to-end model development and deployment while collaborating cross-functionally.

I am a Data Scientist and AI/ML Engineer with hands-on experience building end-to-end AI systems, specializing in computer vision, identity verification, deep learning, and retrieval-augmented generation (RAG) applications.

I have designed and deployed KYC verification pipelines, OCR systems, biometric models, and LLM-powered chatbots, and I have experience with scalable production deployments using Python, FastAPI/Flask, PyTorch/TensorFlow, and Azure data engineering tools.

My work emphasizes robust model engineering, pipeline automation, and operational monitoring; I deliver reliable, scalable AI solutions that combine research-driven methods (deep learning, PRNU for forensics) with practical MLOps and data engineering practices.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

TEKHQS

Dec 2025 - Present (2 months)

Built a real-time agentic voice and text chatbot with streaming STT→LLM→TTS, planner–executor loops, tool-calling, memory, and response verification; implemented RAG-driven NLP pipelines and deployed scalable Python microservices for optimized inference and monitoring.

RAG fastAPI PyTorch Microservices Monitoring

Associated Data Scientist

Programmers Force

Aug 2025 - Nov 2025 (3 months)

Designed and engineered end-to-end AI KYC verification systems including deepfake and liveness detection, face matching, document authenticity checks, and OCR pipelines; deployed multiple deep learning architectures to achieve high verification accuracy.

KYC Deep Learning Face Match PRNU Forensics ResNet

Cloud Engineer

Jun 2024 - Nov 2025 (1 year 5 months)

Designed and implemented end-to-end ETL pipelines using Azure Data Factory, Databricks (PySpark), and Synapse Analytics; ensured data quality, security with AAD, and optimized performance and cost for scalable cloud data processing.

Azure Data Factory Databricks Pyspark Azure Synapse ETL Data Governance Performance Optimization

Data Scientist Intern

Backticksai

Jul 2025 - Sep 2025 (2 months)

Developed ETL pipelines using PySpark, implemented RAG pipelines with LangChain/LangGraph, and utilized Azure Data Factory for data ingestion, transformation, and orchestration.

Pyspark Azure Data Factory RAG Lang Chain ETL Data Orchestration Azure

AI Automation Engineer

AI Automation

Dec 2024 - Mar 2025 (3 months)

Designed and deployed AI-driven automation workflows using n8n and LLMs to automate email classification, routing, summarization, and responses, improving operational response efficiency and reliability.

N8n LLM Email Automation API Integration Workflow Optimization Monitoring Error Handling NLP

Education

Degrees, certifications, and relevant coursework

Punjab University College of Information Technology (PUCIT)

Bachelor of Science, Data Science

Bachelor of Science in Data Science from Punjab University College of Information Technology, focusing on data analysis, machine learning, and statistical methods.