Muhammad Z.
Senior AI/ML Engineer
Experience
Jan 2023 - Present
3 yearsSenior AI/ML Engineer
Luri Platform
- Led a team to build and deploy LLM based applications (chatbots, automation tools, legal tech solutions) using OpenAI, LangChain, and Qdrant, reducing processing times.
- Designed and implemented end to end AI automation workflows using n8n, Zapier, Retell AI, and custom voice agents, enabling fully automated customer onboarding, lead qualification, appointment scheduling, and CRM synchronization (GHL, Zoho).
- Developed RAG pipelines with embeddings and semantic search for legal and financial datasets.
- Fine-tuned GPT-4o-mini on legal drafts for automated complaint generation in California civil law, producing file-ready documents with specialized prompts, saving 20 hours weekly.
- Built a personalized chatbot for U.S. visa recommendations, creating embeddings for a RAG pipeline from scraped datasets, improving query accuracy.
- Developed an AI tool for briefing legal cases, integrating RAG techniques to enhance case analysis for lawyers and students.
- Deployed solutions using FastAPI, React, PostgreSQL, Stripe, and Azure DevOps with GitHub Actions, maintaining high uptime.
- Mentored junior engineers and guided best practices in NLP, MLOps, Generative AI, and AI automation deployment.
Jan 2022 - Dec 2023
2 yearsML & Generative AI Engineer
Cloudwall
- Processed and indexed over 14,000 PDF files using Google Vision API for text extraction, reducing processing time from 63 to 14 hours through multithreading.
- Built and deployed FastAPI-based RESTful APIs for duplicate checking, file indexing, and real-time integration with Google Sheets App Scripts and Google Drive API.
- Fine-tuned GPT-4o-mini LLMs on legal and financial datasets, enabling AI agents for case summarization and chatbots, improving customer satisfaction.
- Deployed scalable AI/ML solutions on AWS, Azure, and GCP, leveraging Hugging Face, LangChain, and Streamlit, contributing to client growth.
- Led NLP and computer vision projects, enhancing multilingual chatbot performance and enabling religious query resolution for global users.
- Guided a team of four ML engineers, implementing MLOps and generative AI practices to reduce project delivery time.
- Wrote comprehensive API references and technical documentation, cutting team troubleshooting and onboarding time.
- Integrated RAG pipelines for efficient data processing and indexing, optimizing performance across cloud platforms.
Jan 2018 - Dec 2021
4 yearsBackend AI Engineer
Senarios
- Developed FastAPI-based RESTful APIs for duplicate detection and indexing, achieving high system reliability.
- Automated workflows with Google Sheets App Scripts, providing real-time data access for 10+ business teams.
- Built data pipelines for text extraction and preprocessing of 10K+ unstructured datasets, increasing processing speed.
- Deployed backend AI solutions on Azure with CI/CD pipelines, supporting 100K+ monthly transactions.
- Created operational runbooks and training materials, reducing team troubleshooting time.
Summary
Senior AI/ML Engineer with 5+ years of experience in NLP and Large Language Models. Worked on RAG pipelines and deployed models in production. Led teams to build scalable AI solutions for content generation and business process automation. Experienced in feature engineering, algorithms, MLOps, AI agent orchestration, workflow automation (n8n, Zapier), and deploying models on AWS, Azure, and GCP.
Languages
English
AdvancedEducation
Oct 2016 - Jun 2019
FAST-NUCES
BS, Computer Science · Computer Science · Pakistan
Certifications & licenses
AWS Certified Machine Learning – Specialty
TensorFlow Developer Certificate
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