Sai Sandeep Kantareddy's Linkedin Analytics

🔥 Igniting Innovation | Delivering Impact | Transforming Industries 🔥 Are you ready for a Machine Learning Engineer who doesn't settle for the ordinary? Look no further! I am a dynamic and forward-thinking professional with 5+ years of expertise in Python, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI. Adept at developing cutting-edge AI models and algorithms, I have a strong background in software development, MLOps, and data analytics. Throughout my career, I have demonstrated a proven ability to lead teams, drive innovation, and deliver impactful solutions. My mission? To harness the full potential of AI and revolutionize the way we tackle complex problems. Key Skills: Python | C++ | SQL | AWS | TensorFlow | PyTorch | Keras | Scikit-learn | OpenCV | Hugging Face | Pandas | NumPy | Machine Learning | Deep Learning | Computer Vision | Natural Language Processing | Data Preprocessing | Feature Engineering | Model Evaluation | Hyperparameter Tuning | Ensemble Methods | Time Series Analysis | Reinforcement Learning | A/B Testing | Data Warehousing | Database Management | Data Visualization | Data Science | Data Mining | Data Analytics | GIT | Data Structures | Classification | Regression | Clustering | Google Cloud Platform (GCP) | Docker | Kubernetes | CI/CD | Artificial Intelligence (AI) | Linux | Internet of Things (IoT) | Statistics | Mathematics | Big Data | PySpark | Agile Methodologies | Project Management | Cross-functional Collaboration | Technical Writing | Presentation Skills | Problem-solving | Mentoring and Training Accomplishments: ✅ Identified bias in Deep Learning models for medical image analysis using Generative Adversarial Networks (GANs) and proposed novel solutions to improve model fairness. ✅ Developed Variational Autoencoders (VAEs) and U-Net models for tumor detection in X-rays and mammograms, achieving state-of-the-art performance with a 40% accuracy improvement. ✅ Led the development of an End-to-End pipeline for a PDF Table Extraction API using Langchain incorporating the Retrieval Augmented Generation (RAG) approach ✅ Significantly improved image classification accuracy from 60% to 85% for 10K classes using state-of-the-art clustering techniques and Siamese network modules. ✅ Developed high-performing Question and Answering model API and Abstractive Summarizer using Transformers architectures (BERT and XLNet). ✅ Successfully implemented voice recognition systems, face recognition modules, and social distance monitoring systems using cutting-edge technologies. Let's connect