kivanolai

Blockchain infrastructure setup for blockchain projects. Data systems designs and implementation. Develop features across the complete product range (server-side as well as client facing) to deliver industry leading solutions.

Led the development of core features for a computer vision-based drone platform, enabling automated inspection and analysis of building exteriors, resulting in increased efficiency and safety compared to manual inspections. Designed and implemented robust, scalable server-side and client-facing software solutions, collaborating with stakeholders to gather requirements, analyze system interactions, and optimize data flows. Built custom integration APIs to seamlessly connect the drone platform with existing client systems, facilitating data exchange and automation. Spearheaded troubleshooting and optimization efforts during product rollout, ensuring smooth customer adoption and resolving complex technical issues. Mentored and guided junior developers, fostering their professional growth and contributing to team knowledge sharing.

Designed, developed, and maintained scalable web applications using Node.js, ensuring efficient logistics management and tracking for Notico's clients. Leveraged ORMs and SQL/NoSQL databases to build robust data models and optimize data access for improved application performance. Collaborated with designers and product managers to refine user interfaces and incorporate new features, balancing functionality with user experience.

Engaged the development of a cutting-edge investment data analysis platform for venture capital firms, utilizing AI and machine learning to streamline investment decision-making. Designed and implemented robust data pipelines to ingest, clean, and transform large volumes of financial, market, and startup data from diverse sources. Developed and deployed machine learning models for predictive analytics, identifying promising investment opportunities based on historical patterns, industry trends, and financial performance.

Engineered and maintained robust data pipelines, implementing Apache Airflow to orchestrate complex data integration workflows, improving data reliability and reducing manual intervention. Designed and deployed scalable cloud infrastructure on AWS using CloudFormation, leveraging Lambda functions, EC2 instances, Fargate containers, Aurora databases, Athena for serverless querying, and Redshift for data warehousing.

Led full-stack development of IoT applications, leveraging LoopBack (Node.js) and Python for robust backend services and integrating diverse sensor data for real-time monitoring and analysis. Applied machine learning and data mining techniques to develop intelligent algorithms for predictive maintenance, anomaly detection, and optimization of IoT systems.