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I am a results-focused ML/AI practitioner with hands-on experience delivering AI solutions across legal, real estate, and finance sectors. I specialize in LLMs, RAG systems, NLP, computer vision, and intelligent document processing to turn complex data into actionable business outcomes. I code in Python and deploy models to the cloud using FastAPI, Docker, and AWS. I consistently improve performance and reduce manual workload by up to 80% while aligning technical work with business goals.…I am a results-focused ML/AI practitioner with hands-on experience delivering AI solutions across legal, real estate, and finance sectors. I specialize in LLMs, RAG systems, NLP, computer vision, and intelligent document processing to turn complex data into actionable business outcomes. I code in Python and deploy models to the cloud using FastAPI, Docker, and AWS. I consistently improve performance and reduce manual workload by up to 80% while aligning technical work with business goals.

Ali Zain

Data Scientist, AI Developer, Programmer, +1

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I am a results-focused ML/AI practitioner with hands-on experience delivering AI solutions across legal, real estate, and finance sectors. I specialize in LLMs, RAG systems, NLP, computer vision, and intelligent document processing to turn complex data into actionable business outcomes. I code in Python and deploy models to the cloud using FastAPI, Docker, and AWS. I consistently improve performance and reduce manual workload by up to 80% while aligning technical work with business goals.…I am a results-focused ML/AI practitioner with hands-on experience delivering AI solutions across legal, real estate, and finance sectors. I specialize in LLMs, RAG systems, NLP, computer vision, and intelligent document processing to turn complex data into actionable business outcomes. I code in Python and deploy models to the cloud using FastAPI, Docker, and AWS. I consistently improve performance and reduce manual workload by up to 80% while aligning technical work with business goals.

Available to hire

I am a results-focused ML/AI practitioner with hands-on experience delivering AI solutions across legal, real estate, and finance sectors. I specialize in LLMs, RAG systems, NLP, computer vision, and intelligent document processing to turn complex data into actionable business outcomes.

I code in Python and deploy models to the cloud using FastAPI, Docker, and AWS. I consistently improve performance and reduce manual workload by up to 80% while aligning technical work with business goals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Beginner

Language

English

Fluent

Work Experience

Machine Learning Engineer at Intalytic Group

October 31, 2025 - October 15, 2025

Developed ML models (Random Forest, YOLO) for real-world business use cases. Built AI solutions with LLMs, RAG systems, and intelligent document processing pipelines to improve decision-making in Real Estate, reducing document processing time by 70%. Implemented NLP and LLM-powered solutions, from OCR to extracting structured data from banking documents and performing automated validation, reducing manual effort by 90%, while coordinating with the Team Lead to align with business goals. Developed an automated lead generation system using Apify to fetch and structure organization data from Google based on niche and location.

AI Engineer at Ikram Associates

October 31, 2024 - October 15, 2025

Developed an AI-powered platform for law firms with capabilities in case classification, summarization, and verdict prediction, reducing processing time by 65%. Built LLM-based tools for automated legal template generation (Affidavits, Legal Notices, Agreements). Applied an OCR-driven text extraction pipeline to digitize case details into a structured library. Integrated a RAG-based chatbot to deliver deterministic and up-to-date legal responses.

Computer Vision Engineer at Freelance AI Project

February 28, 2025 - October 15, 2025

Implemented a YOLO-based computer vision model for person detection in indoor playgrounds. Developed real-time detection and tracking pipeline to ensure accurate monitoring in indoor environments. Optimized model performance and achieved accuracy of 83.4% in person detection in challenging environments.