Prateek Awate — Software Engineer

As a dedicated professional at the intersection of AI, data engineering, and machine learning, I specialize in crafting scalable, end-to-end data solutions that drive impactful business decisions. With expertise in building predictive models, designing robust MLOps pipelines, and optimizing cloud-based workflows on Azure and Databricks, I bring a unique blend of technical acumen and problem-solving skills to every project. Key Highlights: Machine Learning Engineering: Developed and deployed models leveraging NLP, deep learning, and big data frameworks to tackle real-world challenges, including predictive analytics and anomaly detection. Data Engineering Expertise: Designed and maintained high-performance data pipelines, ensuring efficient ETL workflows for big data environments. Proficient in PySpark, SQL, and scalable cloud architectures. Innovative Solutions: Delivered transformative results by combining cutting-edge technologies like Docker, Kubernetes, and MLflow for seamless deployment and monitoring of machine learning models. Domain Knowledge: Applied analytics and AI solutions across industries, including healthcare, finance, and retail, demonstrating a knack for translating complex data into actionable insights. I’m passionate about staying at the forefront of technology, leveraging tools like FastAPI, TensorFlow, and Power BI to solve complex problems. Beyond my technical expertise, I’m committed to collaboration and driving projects that bridge the gap between data-driven insights and business impact. Let’s connect to discuss how my skills and experience can add value to your team!

Stackforce AI infers this person is a Data Engineer and Machine Learning Specialist with a focus on scalable solutions in SaaS.

Location: Pune, Maharashtra, India

Experience: 2 yrs 2 mos