AI Engineer

What I do?

• AI & ML Engineering

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  Fine-tuned large language models (LLMs) such as BERT and GPT for domain-specific NLP tasks.
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  Applied Generative AI techniques using Hugging Face Transformers.
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  Designed and deployed end-to-end ML pipelines with FastAPI and Docker for production-ready applications.
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  Developed and optimized advanced ML/DL models for real-world AI applications.
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  Built and deployed Computer Vision and NLP solutions.
• DevOps & MLOps

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  Built and monitored CI/CD pipelines using Jenkins and GitHub Actions
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  Managed containerized ML services with Docker and Kubernetes
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  Implemented MLOps pipelines using MLflow and DVC for model versioning
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  Worked with Apache Airflow for orchestrating ETL pipelines
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  Deployed models on AWS (SageMaker, Lambda) and Azure ML
• Data Science & Analysis

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  Performed EDA using Pandas, NumPy, Seaborn, and Matplotlib
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  Built interactive dashboards with Power BI and Tableau
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  Conducted statistical analysis, hypothesis testing, and A/B experiments
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  Expert in SQL, PostgreSQL, BigQuery, and Snowflake for Data Warehousing
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  Applied Clustering, Regression, and Time Series Forecasting techniques