Apache/2.4.59 (Debian)

Tejas Satish Navalkhe - AI Engineer | Machine Learning | Big Data | NLP | Generative AI | Quantitative Developer

Tejas Navalkhe is an accomplished AI Engineer with 2.5+ years of experience in designing and deploying advanced AI/ML solutions across industries such as fintech, edtech, transportation, and mobility. Specializing in deep learning, NLP, reinforcement learning, and generative AI, Tejas has a strong track record of building scalable AI systems using cutting-edge frameworks like PyTorch, TensorFlow, and Hugging Face. His expertise spans algorithmic trading systems, dynamic pricing models, and real-time data pipelines, enabling businesses to make data-driven decisions and improve system performance. With hands-on experience in big data technologies (Apache Spark, Kafka, Hadoop) and MLOps tools (Docker, Kubernetes, MLflow, Kubeflow), Tejas has successfully delivered solutions that optimize low-latency trading algorithms, automated ETL pipelines, and predictive modeling. He is passionate about solving complex problems and leveraging AI to drive innovation and business growth. Tejas holds a Master's in Data Science with a specialization in Artificial Intelligence from Newcastle University and has worked on diverse projects, including dynamic pricing models, sentiment analysis, and AI-driven face recognition systems. His technical skills include Python, AWS, Databricks, and SQL, and he is proficient in data visualization tools like Plotly and Power BI. Explore Tejas's portfolio to learn more about his AI-driven solutions, certifications, and contributions to the field of artificial intelligence and data science. Whether you're looking for expertise in algorithmic trading, real-time data processing, or scalable AI systems, Tejas brings a wealth of knowledge and innovation to every project.

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