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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 Devaims.
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 Devaims, 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.
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.
React Native Mobile Application with following features: 1. Rest API integration 2. Token based Authentication 3. Redux store implementation. 4. Cross platform for iOS & Android 5. Push Notifications for iOS & Android using OneSignal.
Verifly's goal create an authentic and safe platform where enthusiast can be confident in the marketplace and the information that they see. The idea is to authenticate items for users and give them the power to own and control their products. The combination of unique IDs and user closets creates a secure platform where all items are real. Verifly's unique IDs give users the ability to buy and sell through any platform they may prefer with confidence. When sold on a separate platform, simply request buyer’s email and send the item to their closet. React Native mobile app includes following features: *See Your Virtual Closet *See Your For Sale Items *See Your Sold Items *View and List Items On Our Marketpalce *Transfer Items To Other Users *Message Users *See Other Users Closets *Filter Items On The Platform Based On Location, Price, And Date Listed Verifly put authenticity into the hands of our users.
Verifly's goal create an authentic and safe platform where enthusiast can be confident in the marketplace and the information that they see. The idea is to authenticate items for users and give them the power to own and control their products. The combination of unique IDs and user closets creates a secure platform where all items are real. Verifly's unique IDs give users the ability to buy and sell through any platform they may prefer with confidence. When sold on a separate platform, simply request buyer’s email and send the item to their closet. Here are some of the features built into rails backend: 1. Ruby on rails backend 2. Postgres database 3. Devise for authentication 4. Authorization using cancan 5. Hosting on AWS 6. Messaging using Action cable. Verifly put authenticity into the hands of our users.
The project included fetching/uploading Mammals data to a GraphQL based backend system written in NodeJS by me. The following features were implented. 1. Authentication (sign up, sign in & reset password) 2. Data filtering & search 3. Visualization using graphs & bar charts. 4. Bulk uploads using CSV file and batch processing of data. 5. Offline storage.
Location based movie search app on iOS.
An app that lets you locate nearby restaurants offering Doordash delivery of food. You can search restaurant view their ratings & bookmark them.
I designed and implemented sign up experience for Mavatar's influencer. My client wanted to implement sign up experience to capture information about influencer partners.
On boarding wizard for market places on Mavatar's e-commerces platform via Google Cloud Platform. 1. React JS Frontend 2. Ruby on Rails backend 3. Sendgrid Integration 4. Google Marketplace integration
On boarding wizard for Retail stores on Mavatar's e-commerce platform. 1. Restful api integration 2. Backend in Ruby on Rails 3. Postgres db integration 4. Sendgrid integration
A fully functional Yelp client using swift on iOS.
A twitter client with OAuth 1.0. 1. View your profile or anyones profile 2. Like/ Retweet 3. See your timeline 4. See mentions.
Yelp client with location based search integration.
AngularJS based chat client application that let's user join a chatroom (done by myself in another project).
A chatroom server to allow messaging in an open chat room.
A small react native app built with redux demonstrating basic redux concepts. Integrated with firebase backend. https://github.com/hakeemsyd/manager
Bachelor of Science (BS), Computer science
National University of Computer and Emerging Sciences · 2008 – 2012
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