- Lead Software Engineer at AquaRobotics playing a crucial role in developing innovative solutions and driving project success through effective collaboration and data workflow optimization.- Design and implement end-to-end system architecture for efficient data pipeline and processing, utilizing technologies such as Python, Apache Airflow, and Apache Spark.- Deploy PyTorch-based deep learning models for image prediction and fungi growth analysis.- Schedule data pipelines for automated fish cage image prediction, leveraging Apache Airflow for orchestration.- Set up and manage cloud infrastructure for data processing on AWS, including AWS EKS (Elastic Kubernetes Service) and AWS EMR (Elastic MapReduce), using Terraform for infrastructure as code.- Architect and implement serverless APIs for seamless integration with AWS Lambda and AWS API Gateway.- Lead project implementation, delivery, and maintenance, demonstrating strong leadership and project management skills.- Collaborate with team members to build and fine-tune deep learning models for image inference, enhancing image prediction capabilities.- Optimize data workflows for efficiency and performance, incorporating Docker for containerization and Kubernetes for container orchestration with Karpenter.- Develop an end-to-end data pipeline for processing robot logs from AquaRobotics' robots, handling zip files containing multiple CSV files using Apache Airflow and PySpark for data processing. Cleaned data is stored in AWS Timestream, and Grafana integration is implemented for data visualization.

- Senior software engineer at the Digital Twin team of Cemit, specializing in developing an intelligent predictive fault identification system for the railway industry in Norway.- Implemented services for extracting, cleaning, and processing railway infrastructure data from sensors, utilizing Python, Pandas, and NumPy for data manipulation.- Optimized algorithms for measuring various railway metrics, leveraging mathematical and statistical libraries like Pandas, NumPy, and Matplotlib.- Designed and implemented micro-services and APIs using FastAPI, enabling efficient data communication and interaction.- Led end-to-end implementation, delivery, and maintenance of projects, demonstrating strong project management and execution skills.- Collaborated closely with DevOps teams to containerize applications using Docker and manage database systems, including PostgreSQL and MongoDB.- Integrated API gateway solutions, such as Kong, to enhance the security and scalability of the project’s APIs.

- Lead and managed the development team, overseeing all aspects of project development.- Planned tasks for sprints and executed performance optimizations to enhance application efficiency.- Designed and implemented architecture for scaling current applications, selecting technologies such as Python, Falcon, and microservices architecture.- Made technology stack decisions and conducted comprehensive requirement analysis to guide development efforts.- Implemented bug fixes and introduced new features to continually improve the product.- Analyzed existing applications and played a key role in hiring and mentoring new team members within a dynamic startup culture.- Leveraged AWS services, including AWS Lambda, AWS Cognito, EC2, and ECR, to build scalable and resilient cloud-based solutions.- Utilized Redis, SQS (Simple Queue Service), and SNS (Simple Notification Service) for efficient data processing and communication.- Orchestrated containerization using Docker and managed CI/CD pipelines with Bitbucket Pipeline for streamlined development workflows.- Employed Amazon DynamoDB as a NoSQL database solution to handle data storage and retrieval in a microservices architecture.

- Served as a Senior Software Engineer on a diverse range of projects, including Big Data applications, E-commerce applications, Web applications, and Tele-dentist applications.- Analyzed, designed, and implemented new features, demonstrating proficiency in technologies such as C#, MVC (Model-View-Controller), Knockout.js, and Entity Framework.- Conducted research and development to drive innovation and stay up-to-date with emerging technologies, including Scala for certain projects.- Played a crucial role in knowledge sharing within the team, writing various tools for web applications and conducting code reviews to facilitate understanding of the projects.- Utilized Microsoft SQL Server as a relational database solution for data storage and retrieval in various applications.- Employed front-end technologies including jQuery, HTML, CSS, and JavaScript to create interactive and user-friendly web applications.- Worked on projects involving NoSQL databases like MongoDB for handling unstructured data.