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Azka Sheikh

@azkasheikh1

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AI Engineer at Nature Tech developing machine learning models for client needs.

Pakistan

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At Nature Tech Pvt. Ltd., I train and develop AI/ML models on diverse datasets, tailoring solutions to client requirements.

At Folio3, I built an AI-powered HR Assistant with LangChain agents and LangGraph, including a RAG query-solving module and automated email generation. I also developed an agentic Hiring Manager pipeline to orchestrate recruitment workflows.

At RCAI Lab, NED University, I built YOLOv8 object-detection pipelines for autonomous vehicle research and designed a speech emotion recognition system. My final-year project was an IoT-based vehicle-to-vehicle fleet safety system with hazard alerts, rerouting instructions, and a live supervisor dashboard.

Experience

Work history, roles, and key accomplishments

Current

QA & Sales Associate

Current

Freelance / Startup

Perform manual QA testing and bug reporting for an academy management and student portal application, alongside sales outreach to identify prospective school clients.

Manual Testing Bug Reporting Sales Outreach

Current

AI Engineer

Current

Nature Tech Pvt. Ltd.

Train and develop AI/ML models on diverse datasets, tailoring solutions to meet specific client requirements.

AI Machine Learning Model Training Client Solutions

AI Intern

Folio3

Sep 2025 - Oct 2025 (1 month)

Built an AI-powered HR Assistant using LangChain agents and LangGraph, integrating a RAG-based query-solving module with vector search, an automated email generator for HR communications, and an agentic Hiring Manager. Developed an agentic Hiring Manager pipeline leveraging LangChain, OpenAI, and memory to orchestrate end-to-end recruitment workflows, reducing manual screening and onboarding effor

Lang Chain LangGraph RAG Vector Search OpenAI Agentic AI HR Automation

AI Research Intern

RCAI Lab, NED University

Oct 2024 - Feb 2025 (4 months)

Built object detection pipelines using YOLOv8 trained on the COCO dataset with real-time speed estimation and lane detection modules via OpenCV for autonomous vehicle research. Designed a Speech Emotion Recognition system classifying happiness, sadness, and anger from audio as part of an AI-driven human interaction module.

YOLOv8 COCO OpenCV Object Detection Speed Estimation Lane Detection Speech Emotion Recognition Deep Learning

Education

Degrees, certifications, and relevant coursework

NED University of Engineering and Technology

Bachelor of Engineering, Computer and Information Systems Engineering

2022 - 2026

Grade: 3.784

Pursued a Bachelor of Engineering in Computer and Information Systems Engineering, achieving a CGPA of 3.784. Coursework included machine learning, artificial intelligence, software engineering, and database management systems.