I am a Data and ML/AI Engineer with a strong background in Python and machine learning, focused on
delivering data-driven solutions and innovative AI applications. Experienced in developing and deploying
predictive models using tools like TensorFlow, PyTorch, and Scikit-learn, I specialize in building scalable
machine learning pipelines and optimizing algorithms. My expertise extends to working with large datasets,
performing advanced data analysis with Pandas, NumPy, and Spark, and applying techniques in natural
language processing and computer vision. I have hands-on experience deploying models into production
environments using FastAPI, Docker, and cloud platforms like AWS and Azure. With a passion for transforming
complex data into actionable insights, I focus on creating solutions that drive business impact and efficiency.
Let’s connect if you're looking for a results-driven engineer with expertise in data science and AI.
Key Skills:
Python, Artificial Intelligence(AI), Machine Learning(ML), Deep Learning, Data Science, Data Engineering,
Generative AI, Cloud Computing, Natural Language Processing(NLP), Computer Vision, Algorithms, Data
Structures, Docker, Kubernetes, Microservices, R, AWS, Azure, GCP, Big Data, Data analysis, MLOps, Pytorch,
Tensorflow, Keras, scikit-learn, Apache Spark, Hadoop, Data Pipelines, AWS SageMaker, A/B Testing, Statistical
Analysis, Predictive Modeling, Hyperparameter Tuning, Data Visualization, Feature Engineering, Tableau, Power
BI, Large Language Model(LLM), Web application, Mobile application, HTML, CSS, C/C++, JavaScript, TypeScript,
React, React Native, Java, Golang, Node.js, Angular, Django, Flask, FastAPI, Streamlit, Spring, Spring Boot, Kotlin,
Express.js, PHP, PostgreSQL, MySQL, MongoDB, Oracle, Agile, CI/CD, REST, GraphQL, gRPC, Android, Git,
Terraform, Linux, Mac OS, Jenkins, LangChain