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Wajid Karim

@wajidkarim

Message

I build production AI agents, RAG pipelines, and machine learning systems.

Pakistan

Message

What I'm looking for

I'm looking to build and deploy practical AI systems, especially multi-agent, LLM, RAG, automation, and analytics products that solve real-world problems. I value hands-on engineering, learning opportunities, and collaborative teams.

I've built production AI systems at Canvas Solution, including ASA-Agent, a multi-agent healthcare assistant that routes scheduling, emergency, cancellation, and FAQ workflows using LangGraph and LangChain.

I design RAG architectures with pgvector, semantic retrieval, re-ranking, structured Pydantic outputs, and MLflow monitoring to improve answer faithfulness, latency, and medical knowledge retrieval. Previously at IT Directorate, I built Python and scikit-learn models supporting 3+ strategic leadership decisions, created dashboards that reduced manual reporting by about 40%, and led TensorFlow/Keras automation across two workflows.

My work spans data annotation, NLP classification, computer vision, browser automation, and end-to-end ML deployment. I enjoy applying AI agents, LLMs, and practical machine learning to real-world healthcare, automation, and analytics problems.

Experience

Work history, roles, and key accomplishments

AI Engineer

Canvas Solution

Feb 2026 - Apr 2026 (2 months)

Built ASA-Agent, a production multi-agent healthcare assistant using LangGraph and LangChain with intent routing across scheduling, emergency, cancellation, and FAQ workflows. Designed dual RAG pipeline strategy with optimized chunking and embedding models for medical knowledge retrieval.

LangGraph Lang Chain RAG Pgvector PostgreSQL Pydantic MLFlow NLP

AI Data Annotator / ML Intern

Unpeel

Dec 2025 - Feb 2026 (2 months)

Collected and structured children's fashion product datasets across 19 brands for training ML classification models. Labeled and validated product attributes to support NLP-based text classification pipelines.

Data Collection Data Labeling NLP data preprocessing

Machine Learning / Deep Learning Fellow

Buildables

Jul 2025 - Nov 2025 (4 months)

Completed a 3-month intensive fellowship in ML and Deep Learning, working on research-driven practical AI projects. Received strong mentor recommendation for exceptional performance.

Machine Learning Deep Learning Research

Junior Data Scientist & AI Engineer

IT Directorate

Jun 2024 - Dec 2024 (6 months)

Analyzed organizational data using Python and scikit-learn to build models supporting strategic decisions. Built predictive dashboards for sales and customer analytics, reducing manual reporting time by ~40%.

Python scikit learn TensorFlow Keras predictive modeling Dashboarding Automation Data Analysis