Available to hire
I am a Senior Machine Learning Engineer with over 10 years of experience in delivering scalable AI/ML solutions. I specialize in MLOps, NLP, and deep learning with a strong focus on cloud-native deployments across AWS, GCP, and Azure. I enjoy building robust ML pipelines and driving business transformation through intelligent automation.
I have a passion for deploying Transformer-based models, real-time inference systems, and automated model retraining workflows. As a mentor and team leader, I love translating business challenges into measurable, data-driven results, while working collaboratively with engineering teams to integrate AI models into production environments.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Afar
Advanced
Javanese
Intermediate
Work Experience
Senior Machine Learning Engineer at Klarity Labs
May 1, 2024 - PresentDesigned and deployed LLM and Transformer-based NLP models using Hugging Face, BERT, and RoBERTa. Developed cloud-native ML APIs using FastAPI, containerized with Docker, and deployed to AWS Lambda. Implemented real-time inference monitoring with Grafana and Prometheus to track model health. Built automated model retraining pipelines using MLflow and GitHub Actions with data versioning. Worked with software engineers to integrate model outputs into backend systems via RESTful services. Supported model governance by maintaining artifacts, lineage, and reproducibility standards. Led technical documentation and onboarding for new MLOps team members.
Machine Learning Engineer at Tech Innovate Solutions
April 30, 2024 - July 18, 2025Developed recommendation systems and classification models using PyTorch and Scikit-learn. Managed infrastructure for distributed model training across AWS and GCP with autoscaling enabled. Built data ingestion pipelines using Apache Airflow and optimized query performance using BigQuery. Designed modular codebase for experimentation and testing with MLflow tracking. Collaborated with frontend and backend teams to integrate ML services into customer-facing applications. Conducted weekly code reviews and mentored junior ML engineers on model deployment best practices. Applied advanced feature engineering techniques using time-series and categorical data.
Machine Learning Engineer – AI Platform at Microsoft
December 31, 2020 - July 18, 2025Created MLOps pipelines using Azure ML, Databricks, and Azure Kubernetes Service (AKS). Worked on responsible AI implementation using SHAP, LIME, and built model explainability dashboards. Developed internal AutoML utilities and managed GPU resource scheduling across distributed jobs. Led development of model cataloging framework for enterprise-wide discoverability and reuse. Built streaming models for anomaly detection integrated with Azure Event Hubs and Kafka pipelines. Participated in security compliance checks, model audits, and contributed to Microsoft AI knowledge base.
AI Developer at NextGen Analytics
December 31, 2018 - July 18, 2025Built computer vision models using YOLO, CNNs, and OpenCV for defect detection in industrial systems. Designed OCR-based document parsing modules for digitizing scanned forms. Packaged AI models as microservices with Flask APIs and deployed on Docker containers. Collaborated with product owners to integrate AI into B2B platforms for analytics and reporting. Automated training and testing workflows with shell scripts and version-controlled notebooks. Worked closely with QA teams to establish baseline accuracy and validate model predictions.
Senior Machine Learning Engineer at Klarity Labs
May 1, 2024 - PresentDesigned and deployed LLM and Transformer-based NLP models using Hugging Face, BERT, and RoBERTa. Developed cloud-native ML APIs using FastAPI, containerized with Docker, and deployed to AWS Lambda. Implemented real-time inference monitoring with Grafana and Prometheus to track model health. Built automated model retraining pipelines using MLflow and GitHub Actions with data versioning. Worked with software engineers to integrate model outputs into backend systems via RESTful services. Supported model governance by maintaining artifacts, lineage, and reproducibility standards. Led technical documentation and onboarding for new MLOps team members.
Machine Learning Engineer at Tech Innovate Solutions
April 30, 2024 - July 18, 2025Developed recommendation systems and classification models using PyTorch and Scikit-learn. Managed infrastructure for distributed model training across AWS and GCP with autoscaling enabled. Built data ingestion pipelines using Apache Airflow and optimized query performance using BigQuery. Designed modular codebase for experimentation and testing with MLflow tracking. Collaborated with frontend and backend teams to integrate ML services into customer-facing applications. Conducted weekly code reviews and mentored junior ML engineers on model deployment best practices. Applied advanced feature engineering techniques using time-series and categorical data.
Machine Learning Engineer – AI Platform at Microsoft
December 31, 2020 - July 18, 2025Created MLOps pipelines using Azure ML, Databricks, and Azure Kubernetes Service (AKS). Worked on responsible AI implementation using SHAP, LIME, and built model explainability dashboards. Developed internal AutoML utilities and managed GPU resource scheduling across distributed jobs. Led development of model cataloging framework for enterprise-wide discoverability and reuse. Built streaming models for anomaly detection integrated with Azure Event Hubs and Kafka pipelines. Participated in security compliance checks, model audits, and contributed to Microsoft AI knowledge base.
AI Developer at NextGen Analytics
December 31, 2018 - July 18, 2025Built computer vision models using YOLO, CNNs, and OpenCV for defect detection in industrial systems. Designed OCR-based document parsing modules for digitizing scanned forms. Packaged AI models as microservices with Flask APIs and deployed on Docker containers. Collaborated with product owners to integrate AI into B2B platforms for analytics and reporting. Automated training and testing workflows with shell scripts and version-controlled notebooks. Worked closely with QA teams to establish baseline accuracy and validate model predictions.
Education
Bachelor at National University of Sciences and Technology (NUST)
January 1, 2009 - December 31, 2013Bachelor at National University of Sciences and Technology (NUST)
January 1, 2009 - December 31, 2013Qualifications
Industry Experience
Software & Internet, Professional Services, Computers & Electronics, Manufacturing
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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