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Schedule Interview NowMy name is Hakeem A. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: node.js, Java, web3.js, Amazon ECS for Kubernetes, React, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Fitness and Yoga Studio booking system and admin dashboard, HelloGov AI, Chatbot with RAG using Vector Database, Video Streaming platform, Video streaming Android/iOS App, etc.. I am based in San Francisco, United States. I've successfully completed 20 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
8 years
3 Years
1 Year
3 Years
Potentially possible
Amazon
I developed web application, mobile app and marketing website of Yoga studio chain. Which enables booking yoga studio mats by customers and help yoga studio staff to manage classes in several locations of their yoga chain. I used AWS cloudformation with an additional microservice written in NodeJS for backend. I used GraphQL apis to enable integration with mobile and web application. I used React Native for mobile application.
I implemented AI Agent / chatbot. Bot serves as customer service representative and helps customers answering questions specific to their situation. I used vector datastore to store database and used Retrieval Augmented Generation (RAG) with vector search to improve quality of responses. I employed prompt engineering techniques to improve the results and added observability to the product for monitoring AI Agent response quality.
A chatbot that utilizes Vector Database to generate prompt on the fly. The search query is transformed into vector embedding and looked up in vector database. The results are then passed to OpenAI model to generate rsults.
Rails backend service was developed to serve both web and mobile application to serve Videos, Radios and audio podcast content. 1. Authentication using devise 2. GraphQL apis 3. Postgresql database integration 4. Rspec tests.
Localeyz offers Media centers (small non-profit NGOs) a platform to publish Audio & Video content to the world. Videos include multiple platform e.g. Vimeo, YouTube, cablecast. We also allow live streaming to the app. Localeyz is built with following features - Authentication & signup - Password reset - Live streaming client - Graphql integration - Apollo client - Cross platform across android & ios. React Native app is backed by a Nodejs backend which talks to media center backend services to pull content.
Bachelor of Science (BS) in Computer science
2008-01-01-2012-01-01