I’m a Data Scientist & AI/ML Engineer with 5+ years of experience turning complex problems into AI-powered solutions that drive measurable impact. My work has directly contributed to products that helped companies secure over $8M in fundraising. I specialize in developing, deploying, and maintaining machine learning models, end-to-end AI-integrated systems (both in the cloud and at the edge), prediction and data pipelines for various industrial applications.
I’ve worked across diverse industrial domains, focusing on creating solutions that are production-ready, scalable, and aligned with business goals, including:
🔹 Design, development, deployment, and monitoring of machine learning models and pipelines on cloud and edge with seamless MLOps integration
🔹 NLP and LLMs fine-tuning, prompt engineering, and integrating them with web applications to enhance user interaction and deliver tailored solutions
🔹 Time series data analysis and forecasting using statistical methods and customized state-of-the-art machine learning and deep learning models, specifically applied to real-world scenarios in industrial settings
🔹 Data analysis and database management with experience in PostgreSQL, MongoDB, Azure CosmosDB, Azure Data Explorer, and AWS DynamoDB
🔹 Building and maintaining ETL pipelines on cloud infrastructures such as AWS and Azure, ensuring data quality and availability
🔹 Computer vision and image processing methods leveraging cutting-edge solutions for object detection, image classification, anomaly detection, eKYC, and content moderation
🔹 Developing and deploying web services and REST APIs using FastAPI, enabling scalable and robust access to machine learning models and data processing services
🔹 Collaborating with cross-functional teams to deliver AI-driven solutions, ensuring alignment with business goals and technical requirements
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