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Hi, I’m Muzammal Ali, a data scientist and AI engineer based in Berlin with 3.5 years of experience building production-grade machine learning and AI systems. I specialize in LLM-based applications, scalable data pipelines, and cloud-native deployments on GCP and AWS. I have a proven track record delivering end-to-end solutions that improve product accuracy, automation, and business decision-making. I enjoy collaborating with cross-functional teams to translate user needs into AI features, quantify impact, and maintain strong client relationships. I love turning complex data into actionable insights and building AI-driven tools that scale.…Hi, I’m Muzammal Ali, a data scientist and AI engineer based in Berlin with 3.5 years of experience building production-grade machine learning and AI systems. I specialize in LLM-based applications, scalable data pipelines, and cloud-native deployments on GCP and AWS. I have a proven track record delivering end-to-end solutions that improve product accuracy, automation, and business decision-making. I enjoy collaborating with cross-functional teams to translate user needs into AI features, quantify impact, and maintain strong client relationships. I love turning complex data into actionable insights and building AI-driven tools that scale.

Muzammal Ali

Data Scientist, AI Engineer, AI Developer, +3

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Hi, I’m Muzammal Ali, a data scientist and AI engineer based in Berlin with 3.5 years of experience building production-grade machine learning and AI systems. I specialize in LLM-based applications, scalable data pipelines, and cloud-native deployments on GCP and AWS. I have a proven track record delivering end-to-end solutions that improve product accuracy, automation, and business decision-making. I enjoy collaborating with cross-functional teams to translate user needs into AI features, quantify impact, and maintain strong client relationships. I love turning complex data into actionable insights and building AI-driven tools that scale.…Hi, I’m Muzammal Ali, a data scientist and AI engineer based in Berlin with 3.5 years of experience building production-grade machine learning and AI systems. I specialize in LLM-based applications, scalable data pipelines, and cloud-native deployments on GCP and AWS. I have a proven track record delivering end-to-end solutions that improve product accuracy, automation, and business decision-making. I enjoy collaborating with cross-functional teams to translate user needs into AI features, quantify impact, and maintain strong client relationships. I love turning complex data into actionable insights and building AI-driven tools that scale.

Available to hire

Hi, I’m Muzammal Ali, a data scientist and AI engineer based in Berlin with 3.5 years of experience building production-grade machine learning and AI systems. I specialize in LLM-based applications, scalable data pipelines, and cloud-native deployments on GCP and AWS. I have a proven track record delivering end-to-end solutions that improve product accuracy, automation, and business decision-making.

I enjoy collaborating with cross-functional teams to translate user needs into AI features, quantify impact, and maintain strong client relationships. I love turning complex data into actionable insights and building AI-driven tools that scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

Data Scientist / AI Consultant at Helm X

December 1, 2025 - Present

Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, significantly improving operational efficiency. Collaborated on product features, achieving measurable impact and maintaining strong client relationships across engagements.

Data Scientist at CarBee

August 1, 2024 - November 30, 2025

Remotely designed and deployed a production-grade Retrieval-Augmented Generation (RAG) system using live MongoDB data, significantly improving chat bot response accuracy and relevance. Built an AI-powered natural language search system translating user queries into dynamic MongoDB queries for precise vehicle matching. Developed AI-generated vehicle descriptions, reducing manual content creation time by 40% and increasing user engagement. Designed distributed asynchronous subtitling generation system using Celery and AWS SQS, enabling scalable multilingual processing. Engineered serverless data pipelines (MongoDB -> BigQuery, Firestore -> GA -> BigQuery) using GCP Cloud Functions for real-time analytics and dashboard reporting.

Research Assistant at National Dong Hwa University (NDHU)

October 1, 2024 - February 28, 2025

Real-time theft detection system using YOLOv8, achieving 95% detection accuracy through multi-factor threat analysis. Automated analytics workflows using BigQuery and Apache Airflow, supporting batch and event-driven processing. Designed and maintained RESTful APIs using FastAPI and Django for backend integration. Implemented CI/CD pipelines, reducing deployment time and improving release reliability. Developed scalable ETL pipelines with PySpark and MapReduce to optimize data processing and analytics.

Data Scientist at iPlex

September 1, 2023 - August 31, 2024

Built real-time unauthorized person detection system using YOLOv8 with 90%+ accuracy. Automated analytics workflows using BigQuery and Apache Airflow for batch and event-driven processing. Designed and maintained RESTful APIs using FastAPI and Django. Implemented CI/CD pipelines, reducing deployment time by 50% and improving release reliability. Engineered scalable ETL pipelines with PySpark and MapReduce for faster data processing.

Data Scientist at ML Sense

July 1, 2022 - September 30, 2023

Built AI-powered customer support chatbot using LangChain, OpenAI, and vector databases enabling semantic search across multiple document formats. Developed SubMagic, an automated video captioning system with grammar correction and emoji suggestions. Designed real-time analytics dashboards for telecom inventory data, enabling anomaly detection for fuel theft and inventory misuse. Architected scalable ETL pipelines using PySpark and MapReduce, reducing data processing time from 500 hours to 6 hours.

Machine Learning Engineer at NC AI

August 1, 2021 - May 31, 2022

Developed a real-time unauthorized person detection system with high accuracy, and built predictive models using decision trees and other ML techniques to support security applications.

Data Scientist / AI Engineer at Helm X

December 1, 2025 - Present

Delivered AI and data science solutions including LLM-based chatbots and data pipelines to improve operational efficiency. Collaborated on product features, achieved measurable impact, and maintained strong client relationships.

Data Scientist / Data Engineer at ML Sense

July 1, 2022 - September 1, 2023

Developed an AI-powered customer support chatbot using LangChain, OpenAI, and vector databases enabling semantic search across multiple document formats. Built SubMagic, an automated video captioning system with grammar corrections and emoji suggestions. Designed real-time analytics dashboards for Telnor inventory to detect fuel theft and inventory misuse. Engineered scalable ETL pipelines with PySpark and MapReduce, reducing data processing time.