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@alexaman1
I am a Senior Machine Learning Engineer and MLOps architect driving production-grade AI solutions.
I am a Senior Machine Learning Engineer and Cloud-Native MLOps Architect with 12+ years building and deploying AI at scale. I design end-to-end ML pipelines, production APIs, and cloud-native architectures across AWS, GCP, and Azure.
I have led development of Transformer and LLM-based NLP solutions using Hugging Face, BERT, and RoBERTa, and I deploy models with FastAPI, Docker, and serverless services. I implemented real-time inference monitoring (Grafana, Prometheus) and automated retraining pipelines using MLflow and GitHub Actions to maintain model health and reproducibility.
My background spans deep learning, computer vision, semantic search, and generative approaches, and I have driven measurable improvements such as a 20% model performance gain through hyperparameter tuning and ensemble methods. I partner closely with product and engineering teams to integrate ML outputs into backend systems and SaaS platforms.
I hold AWS, Google TensorFlow, and Azure AI certifications and I prioritize explainable AI, model governance, and mentoring MLOps teams. I am focused on delivering scalable, compliant, and business-impacting AI solutions that accelerate decision-making and product value.
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Work history, roles, and key accomplishments
ZS Associates
Jan 2024 - Present (1 year 10 months)
Designed and deployed LLM and Transformer-based NLP models (Hugging Face, BERT, RoBERTa) and built cloud-native ML APIs containerized with Docker and deployed to AWS Lambda. Implemented real-time inference monitoring with Grafana and Prometheus and automated model retraining pipelines with MLflow and GitHub Actions.
Experis
Jan 2021 - Dec 2023 (2 years 11 months)
Architected and deployed MLOps pipelines with Kubeflow, MLflow, and Kubernetes, automating CI/CD for models using GitHub Actions and Jenkins. Developed recommendation systems and optimized cloud ML workloads on AWS SageMaker while implementing XAI for model transparency.
Jan 2019 - Dec 2020 (1 year 11 months)
Developed ML algorithms for NLP tasks (text classification, sentiment analysis, NER) using TensorFlow and PyTorch and applied transfer learning on BERT and GPT. Enhanced data quality with ETL pipelines (Airflow, Pandas, SQL) and delivered dashboards and A/B testing insights for product optimization.
Insight Global
Jan 2013 - Dec 2018 (5 years 11 months)
Designed and implemented supervised and unsupervised ML models and built scalable data pipelines with SQL, Spark, and Hadoop. Automated feature engineering and model selection, integrated models into production with Flask and Docker, and improved model performance by 20% through tuning and ensemble methods.
Degrees, certifications, and relevant coursework
Bachelor of Science, Software Engineering
Completed a Bachelor of Science in Software Engineering at COMSATS University Islamabad.
Software and tools used professionally
Apache Spark
Microsoft Azure
GitHub
Bitbucket
Kubernetes
Jenkins
GitHub Actions
Bitbucket Pipelines
NumPy
Pandas
Dask
MySQL
PostgreSQL
MongoDB
Hadoop
Gmail
Django
Redis
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Comet.ml
NLTK
Kafka
FastAPI
Grafana
Prometheus
NLP Cloud
AWS Lambda
Airflow
s3-lambda
SQL
XGBoost
Hugging Face
LightGBM
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