ashar tanveer
@ashartanveer
I build production LLM and RAG AI systems as an AI/ML Solutions Architect.
What I'm looking for
I’m a results-driven AI/ML Solutions Architect designing and deploying production-grade intelligent systems. I bring deep expertise in Large Language Models, Retrieval-Augmented Generation, NLP pipelines, and full ML lifecycle management—turning complex business needs into scalable, measurable AI outcomes.
Most recently, I led end-to-end delivery across NLP, computer vision, and predictive analytics, including LLM-powered workflow automation and enterprise chatbots that cut manual processing time by over 60%. I also implement robust MLOps foundations (MLflow/W&B, CI/CD, experiment tracking, and monitoring), and I’ve shipped projects like a Slack enterprise RAG bot (sub-second answers, 60% faster lookup) and an NLP-to-SQL system with 92% accuracy.
Experience
Work history, roles, and key accomplishments
AI/ML Solutions Architect
Independent / Client Engagements
Jan 2025 - Present (1 year 3 months)
Architected end-to-end AI/ML solutions for client needs, delivering bespoke LLM and RAG pipelines and conversational AI tailored to client data. Established production MLOps foundations with CI/CD, experiment tracking, and automated retraining on AWS and containerized environments.
Education
Degrees, certifications, and relevant coursework
University of Karachi (UBIT)
Bachelor of Science (BSc), Software Engineering
2023 - 2027
Grade: CGPA 3.2
Pursuing a BSc in Software Engineering with a CGPA of 3.2.
DeepLearning.AI
Course Certificate, Retrieval-Augmented Generation (RAG)
Completed the course 'Building & Evaluating Advanced RAG Applications.'
Coursera
Course Certificate, Machine Learning
Completed the course 'Advanced Learning Algorithms.'
Credo College
A Levels, A Levels
Grade: 87%
Completed A Levels with an overall score of 87%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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