I am a versatile software engineer with over 8 years of experience, specializing in AI and machine learning, with a strong background in financial, healthcare, and e-commerce domains. My expertise lies in building scalable AI-driven applications, deploying machine learning models, and leveraging cloud services to optimize processes and drive impactful results.

I have extensive experience working with:

• AI/ML: TensorFlow, PyTorch, OpenAI, Scikit-Learn, Keras, Hugging Face Transformers, SpaCy, NLTK
• NLP: Natural Language Processing (NLP), SpaCy, NLTK, Hugging Face Transformers
• Data: Pandas, NumPy, SciPy, Data Cleaning, Data Visualization, Machine Learning Pipelines, Model Deployment, Hyperparameter Tuning, Model Evaluation
• Backend: Python, Django, Flask, Node.js, Express
• Frontend: JavaScript, TypeScript, React.js, Next.js, HTML/CSS, SCSS
• Cloud & DevOps: AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML), Docker, Kubernetes, CI/CD pipelines

I'm deepening my knowledge in advanced AI techniques, particularly in areas like Transformer models with Hugging Face and deploying scalable AI solutions using cloud platforms like AWS SageMaker, GCP Vertex AI, and Azure ML.

• Healthcare Applications: Developed scalable applications using Python, Django, and React, enhancing patient data management and user experience. Deployed AI/ML models for predicting patient outcomes and real-time monitoring using AWS SageMaker and GCP Vertex AI. Applied NLP techniques to extract critical insights from patient records, optimizing treatment plans.

• Financial Systems: Built and deployed machine learning models for credit risk prediction and customer behavior analysis. Implemented AI-driven fraud detection systems using deep learning algorithms with PyTorch. Enhanced financial platforms with AI/ML solutions, enabling automated investment strategies. Developed RESTful APIs and data pipelines for processing large financial datasets.

• E-Commerce Solutions: Deployed AI/ML models for personalized product recommendations, increasing customer engagement. Designed dynamic pricing strategies using machine learning algorithms. Integrated AI-driven chatbots for customer support, leveraging NLP for improved response times. Developed and maintained scalable platforms using Python, Django, and React.

• Web Development: Contributed to the development of multiple web applications using React, Angular.js, and Python. Enhanced website accessibility through responsive design and user experience improvements.

• EHR System Optimization: Reduced documentation errors by 30% in an Electronic Health Records (EHR) system.
• Real-Time Stock Market Prediction Model: Improved investment decision accuracy by 25% with a predictive model.
• AI-Powered SEO Enhancement: Increased SEO ranking by 35% using an AI-powered bot system.

I am open to opportunities and collaboration in the AI/ML space.