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Hi, I'm Muaaz Zakria, an AI/ML Engineer and Data Scientist with over 8 years of experience building and deploying scalable AI solutions. I've worked on cutting-edge projects involving large language models, RAG chatbots, and fine-tuning models for clients like SAP and Toyota. I enjoy mentoring junior engineers and collaborating in agile teams to deliver impactful AI products. My expertise lies in Python, PyTorch, LangChain, and cloud technologies like AWS, with a passion for optimizing AI models for performance and scalability. I'm always eager to leverage AI to solve real-world problems and continuously learn new advancements in machine learning and NLP.…Hi, I'm Muaaz Zakria, an AI/ML Engineer and Data Scientist with over 8 years of experience building and deploying scalable AI solutions. I've worked on cutting-edge projects involving large language models, RAG chatbots, and fine-tuning models for clients like SAP and Toyota. I enjoy mentoring junior engineers and collaborating in agile teams to deliver impactful AI products. My expertise lies in Python, PyTorch, LangChain, and cloud technologies like AWS, with a passion for optimizing AI models for performance and scalability. I'm always eager to leverage AI to solve real-world problems and continuously learn new advancements in machine learning and NLP.

Muaaz Zakria

Data Scientist, AI Engineer, Developer, +3

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Hi, I'm Muaaz Zakria, an AI/ML Engineer and Data Scientist with over 8 years of experience building and deploying scalable AI solutions. I've worked on cutting-edge projects involving large language models, RAG chatbots, and fine-tuning models for clients like SAP and Toyota. I enjoy mentoring junior engineers and collaborating in agile teams to deliver impactful AI products. My expertise lies in Python, PyTorch, LangChain, and cloud technologies like AWS, with a passion for optimizing AI models for performance and scalability. I'm always eager to leverage AI to solve real-world problems and continuously learn new advancements in machine learning and NLP.…Hi, I'm Muaaz Zakria, an AI/ML Engineer and Data Scientist with over 8 years of experience building and deploying scalable AI solutions. I've worked on cutting-edge projects involving large language models, RAG chatbots, and fine-tuning models for clients like SAP and Toyota. I enjoy mentoring junior engineers and collaborating in agile teams to deliver impactful AI products. My expertise lies in Python, PyTorch, LangChain, and cloud technologies like AWS, with a passion for optimizing AI models for performance and scalability. I'm always eager to leverage AI to solve real-world problems and continuously learn new advancements in machine learning and NLP.

Available to hire

Hi, I’m Muaaz Zakria, an AI/ML Engineer and Data Scientist with over 8 years of experience building and deploying scalable AI solutions. I’ve worked on cutting-edge projects involving large language models, RAG chatbots, and fine-tuning models for clients like SAP and Toyota. I enjoy mentoring junior engineers and collaborating in agile teams to deliver impactful AI products.

My expertise lies in Python, PyTorch, LangChain, and cloud technologies like AWS, with a passion for optimizing AI models for performance and scalability. I’m always eager to leverage AI to solve real-world problems and continuously learn new advancements in machine learning and NLP.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Afar

Advanced

Bashkir

Advanced

English

Fluent

Work Experience

Senior AI/ML Engineer at Senarios

February 1, 2022 - Present

Led the development of an LLM-based AI product using OpenAI and HuggingFace from research to production. Built RAG and Agentic RAG chatbots with Langchain, LlamaIndex, and Pinecone for clients including SAP and Toyota. Applied prompt engineering and fine-tuning with LangGraph to enhance AI model outputs. Containerized projects with Docker and deployed on AWS EC2/EBS employing CI/CD with GitHub Actions, and implemented monitoring with Streamlit, REST APIs, and Elasticsearch. Mentored junior engineers and collaborated via Agile/Scrum to align development with business goals. Optimized models with PyTorch and TensorFlow and integrated backend services using FastAPI and PostgreSQL.

Machine Learning(ML) Engineer at SlashNext

January 31, 2022 - August 1, 2025

Developed ML models in Python that detected scam crypto pages with 100% precision. Built deep learning classifiers with PyTorch for malicious document detection achieving over 90% recall. Applied prompt engineering and LLM fine-tuning for data augmentation. Managed dataset annotation and model monitoring using MLflow and Jupyter Notebooks. Collaborated with QA teams to test models and optimized deployments with Docker, AWS, and Pinecone vector databases. Visualized insights for stakeholders using Matplotlib and Pandas and managed deployment reliability with Kubernetes.

Data Scientist at Afiniti

October 31, 2019 - August 1, 2025

Built AI models using Python and scikit-learn for clients like Telecom Italia and Axa. Conducted exploratory data analysis using SQL, Python, and Matplotlib. Developed statistical models with R and TensorFlow for customer-agent pairing. Collaborated on deployments using Git and cloud platforms. Preprocessed data with Pandas and NumPy and participated in agile standups and client meetings. Monitored models in production with MLflow and OpenAI integrations and assisted QA teams in testing AI solutions for reliability.

Senior AI/ML Engineer at Senarios

February 1, 2022 - Present

Led development of an LLM-based AI product using OpenAI and HuggingFace from research to production. Built RAG and Agentic RAG chatbots with Langchain, LlamaIndex, and Pinecone for SAP and Toyota clients. Applied prompt engineering and fine-tuning with LangGraph to enhance AI model outputs. Containerized projects with Docker and deployed on AWS EC2/EBS using CI/CD with GitHub Actions. Implemented monitoring and logging using Streamlit, REST APIs, and Elasticsearch for robust AI performance. Mentored junior engineers in Python, machine learning, and NLP techniques. Collaborated with teams using Agile/Scrum methodologies. Optimized models with PyTorch and TensorFlow. Processed data with Pandas, NumPy, SQL, and MongoDB. Configured NGINX with custom domains and automated deployments with Bash. Integrated FastAPI and PostgreSQL for backend services.

Machine Learning(ML) Engineer at SlashNext

January 31, 2022 - August 1, 2025

Developed ML models in Python for scam crypto page detection with 100% precision and deep learning classifiers for malicious document detection with over 90% recall. Utilized prompt engineering and LLM fine-tuning with Langchain and HuggingFace for data augmentation. Annotated datasets and monitored models in production using MLflow and Jupyter Notebooks. Collaborated with QA using scikit-learn and Streamlit. Managed version control with Git and Bash scripting. Optimized deployments with Docker, AWS, and Pinecone vector databases. Visualized model insights with Matplotlib and Pandas. Oversaw model orchestration with Kubernetes for deployment reliability.

Data Scientist at Afiniti

October 31, 2019 - August 1, 2025

Built AI models using Python and scikit-learn for clients such as Telecom Italia and Axa. Conducted exploratory data analysis with SQL, Python, and Matplotlib. Developed statistical models with R and TensorFlow for customer-agent pairing. Collaborated on deployments using Git and cloud platforms. Preprocessed data using Pandas and NumPy. Participated in standups and client meetings via Jira and Confluence. Monitored models with MLflow and OpenAI integrations, refining models to meet targets. Assisted QA with testing AI solutions using PyTest.

Senior AI/ML Engineer at Senarios

February 1, 2022 - Present

Led development of an LLM-based AI product using OpenAI and HuggingFace from research to production. Built RAG and Agentic RAG chatbots for SAP and Toyota clients. Applied prompt engineering and fine-tuning with LangGraph. Containerized projects with Docker and deployed on AWS EC2/EBS using CI/CD with GitHub Actions. Implemented monitoring using Streamlit and Elasticsearch. Mentored junior engineers and collaborated via Jira, Confluence, and Agile/Scrum. Optimized models using PyTorch and TensorFlow. Processed data with Pandas, NumPy, SQL, and MongoDB. Configured NGINX and automated deployments with Bash scripting. Integrated FastAPI and PostgreSQL for backend services.

Machine Learning(ML) Engineer at SlashNext

January 31, 2022 - August 1, 2025

Developed ML models in Python for crypto scam page detection with 100% precision. Built deep learning classifiers with PyTorch for malicious document detection. Applied prompt engineering and LLM fine-tuning with Langchain and HuggingFace for data augmentation. Annotated datasets and monitored models using MLflow and Jupyter Notebooks. Collaborated with QA on model testing using scikit-learn and Streamlit. Used Git and Bash for version control and scripting. Optimized model deployment with Docker, AWS, and Pinecone. Visualized model insights for stakeholder reporting. Managed model orchestration with Kubernetes.

Data Scientist at Afiniti

October 31, 2019 - August 1, 2025

Built AI models using Python and scikit-learn for clients like Telecom Italia and Axa. Conducted exploratory data analysis with SQL, Python, and Matplotlib. Developed statistical models with R and TensorFlow for customer-agent pairing. Collaborated with engineers to deploy solutions using Git and cloud platforms. Preprocessed data with Pandas, NumPy, and Jupyter Notebooks. Participated in client meetings and standups via Jira and Confluence. Monitored models in production with MLflow and OpenAI integrations. Assisted QA in testing AI solutions with PyTest.