Hire Remote Senior
Data Science Developers
in Europe

Highly skilled and accomplished Deep Learning expert with 7+ years of experience consist of both Computer Vision and NLP and 4+ years of technical management experience. Adept at creating and implementing advanced machine learning pipelines, designing efficient backend systems, and managing technical teams to ensure the successful delivery of complex projects. I have built ⭐1.5K GitHub repo, called DemoGPT which is about prompt-based LLM application development. With DemoGPT, I aimed to democratize the LLM-based application development.

Data ScienceAIMachine LearningNLPLarge Language ModelsDeep LearningPythonAWSFlaskComputer VisionPyTorchLeadershipOpenAI APIsOpenCVDockerKubernetesOpenVINOKubeflow

Versatile AI unicorn with a robust engineering and advanced mathematics background. Expert in designing and deploying enterprise-level machine learning systems across finance, healthcare, agriculture, and technology consulting sectors. Proven track record in leveraging deep technological and strategic business insights to drive client acquisition and substantial value creation.

Data ScienceAIGenerative AIMachine learningNLPLLMPythonSQLComputer VisionAzureDatabricksAWSDocker

As a seasoned Machine Learning Engineer with over 5 years of industry experience, I’ve had the privilege of contributing my expertise to some remarkable companies, including Triumph Technology LLC, LucidAct, ScribeEMR, 7Cups, and Zetane. My passion lies at the intersection of machine learning and Python programming, where I thrive on tackling complex challenges and driving innovation. Beyond my professional endeavors, I am deeply committed to sharing my knowledge and experiences with others in the field. I firmly believe in the philosophy of continuous improvement, striving to grow by 1% each day in both my technical skills and personal development. \------------------------------------ Experience with fraud detection, tabular data, and unsupervised learning. 1. Helped Ncell, a teleco, identify customers misusing their new sim plan(customer churning) offers using tabular data of history of their purchases.(tabular data + fraud/outlier detection + unsupervised learning) 2. Helped Open Inference holdings improve the precision of their stock prediction model by 6% using public sentiments on various stocks (tabular data) 3. Grouped textual documents by clustering(clustering - unsupervised learning) 4. Created an ETL pipeline to gather stock data(tabular data + database + streaming data)

Data ScienceMachine learningAINLPUnsupervised LearningLarge Language ModelsData VisualizationData analyticsArtificial Neural NetworksPythonChatGPTOpenCVNumPyPandasTensorFlowPyTorchHuggingfaceAWSAmazon EC2DockerPython 3AWS LambdaAmazon ECSAWS SageMakerScikit-ImageAWS Kinesis FirehoseAWS KinesisAws glueScikit-learn