Umar Shahid
@umarshahid
Junior AI engineer building production-ready RAG, document intelligence, and ML systems.
What I'm looking for
I am a Junior AI Engineer focused on building production-grade intelligent systems, including RAG pipelines, document intelligence workflows, and domain-specific LLM applications. I bring hands-on experience integrating LLMs into web platforms and engineering end-to-end ML solutions.
At Mergestack I implemented an AI chatbot on a live WordPress travel site using LangChain and Pinecone, designed a scalable RAG inference service with FastAPI, and built an OCR-based document extraction system that normalizes outputs into structured JSON.
As a freelance AI and full-stack developer I delivered client solutions using React, Node.js, Express, and MongoDB, and performed data preprocessing, model training, evaluation, and deployment supported by Python data analysis and visualization.
I seek remote AI/ML roles where I can apply practical experience with LangChain, Pinecone, FastAPI, Chainlit, OCR, and computer vision to build reliable, user-facing intelligent products and improve model behavior and grounding in production environments.
Experience
Work history, roles, and key accomplishments
Associate Software Engineer
Mergestack
Mar 2025 - Present (10 months)
Built and deployed RAG and document-intelligence systems including a FastAPI-based knowledge engine and an AI chatbot for a WordPress travel platform, improving semantic search and contextual grounding for business data.
Freelance AI Developer
Self-Employed
Feb 2024 - Feb 2025 (1 year)
Delivered AI-enabled full-stack solutions and end-to-end ML workflows for clients, including data preprocessing, model training, evaluation, deployment, and data visualization to inform product decisions.
Education
Degrees, certifications, and relevant coursework
COMSATS University Islamabad, Lahore Campus
Bachelor of Science, Computer Science
2021 - 2025
Grade: CGPA: 3.33/4.00
Activities and societies: Projects: DriveSense (on-device driver distraction detection with YOLOv8, MediaPipe, Flutter), Music Genre Classification (audio feature extraction and ML/TensorFlow models).
Completed a Bachelor of Science in Computer Science with practical projects in ML, computer vision, and mobile development; graduated with a CGPA of 3.33/4.00.
Availability
Location
Authorized to work in
Job categories
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