AI-powered image generation for non English users

𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐆𝐞𝐧𝐢𝐮𝐬𝐁𝐨𝐭𝐬Developing AI-powered tools utilizing ChatGPT and OpenAI and others’ APIs to provide AI-assisted solutions in research, teaching, entertainment, ect.• Employed Django for establishing database connection and managing the admin panel.• Utilized RabbitMQ and Redis for scheduling asynchronous tasks.• Integrated IM bots to enhance the user interface.• Integrated OpenAI and other third-party AI APIs for additional functionality.• Utilized Langchain to fine-tune OpenAI models based on preferred text.• Leveraged Docker for seamless deployment.• Employed Traefik as a reverse proxy server for routing and load balancing.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:Successfully handled the support of nearly 1000 users, efficiently managing and responding to over 500 messages within an hour of the initial launch.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬:Telegram bot, User authentication, OpenAI chatGPT Dall-E2, and Midjourney API integration, OpenAI model find-tuning, API delivery, docker----------𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐈𝐑𝐄𝐄𝐍The startup provides a real estate price estimation service that employs machine learning algorithms and comprehensive data analysis to provide accurate property valuations in Italy, Austria, and Canada.• Performed the aggregation and cleansing of diverse house price datasets.• Leveraged the Google Map API for obtaining aerial images and extracting detailed features.• Utilized both deep learning and machine learning models for accurate price prediction.• Developed APIs using Fastapi.• Implemented user authentication interface using Django.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:We achieved state-of-the-art accuracy rates using deep and machine learning models, and reduced API call expenses by over 80% through local server caching.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: signing up with email and password, data collection, data cleaning, data formatting, image processing, price prediction system, API delivery, docker, notifications, google maps and image service, caching system

Neolife is an AI tool for pre-IVF treatment risk assessment. Neolife was offered through a customized online platform for families and clinics.• Implemented user authentication using Django.• Created AI model APIs using Fastapi.• Deployed the system using Docker.• Employed an ensemble model combining deep learning and machine learning techniques for pre-IVF risk assessment.• Conducted data collection, cleaning, and formatting for the system.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: Utilizing a blend of deep learning and classical models, Neolife achieved more than 75% accuracy.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Signing in and signing up with email and password, data collection, data cleaning, data formatting, pre-IVF risk assessment system, API delivery, docker

𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐂𝐥𝐞𝐚𝐧 𝐮𝐩Developed a tool for making and tracking environmentally friendly habits using gamification techniques with native mobile applications.• Employed the Django REST framework to develop the API.• Utilized Google Firebase for account authentication and notifications via Google and Facebook.• Integrated Google and Apple payment APIs for payment processing.• Designed a data system based on events to ensure data security and facilitate synchronization across multiple devices.• Employed Docker for containerization.• Deployed the code on AWS EC2 instances.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:The data model and information flow architecture were meticulously designed to enable seamless multi-device synchronization, ensuring no conflicts occur in the backend data.I successfully led my team in initiating a gamified habit-making application from the ground up, encompassing product design, development, and deployment.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Signing in and signing up with the Google account or Facebook account or email and password, multiple device data synchronization, event-based data model design, managing profile, charging wallet, social network architecture, like, online payment using Apple pay and google pay, RESTful API, docker, notifications, scoring system, online shop, reporting, leaderboards, multilingual,

A baby health monitoring device with a mobile application that allows parents to monitor their baby's vital signs in real time.• Used machine learning models to detect anomalies.• Used Django REST framework for API development.• Used MongoDB for high-speed database.• Used Docker for containerizing.• Used AWS EC2 service for deployment.• Analyzing time-scale DB (PostgreSQL plugin) for time series data.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:Achieved 1000 requests per second on the backend application on a simple 4GB RAM serverSuccessfully developed and delivered a reliable and innovative baby health monitoring system that exceeded client expectations.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Signing in and signing up with OTP, managing profile, real-time data collection, time series IoT data, anomaly detection, RESTful API, docker

This startup is dedicated to enabling insurance companies to offer usage-based insurance by collecting and analyzing driving habits to create individual driver risk profiles.• After evaluating the MQTT and REST API protocols, a decision was made to opt for a communication solution based on REST API.• API development carried out using Django REST framework.• Utilizing Redis for a volatile caching system.• Employing PostgreSQL as the database solution.• Implementing Nginx as the reverse proxy.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:• Successfully designed and developed the IoT system, which enabled flexible data storage and retrieval using a REST API-based solution.• Achieved lightning-fast data visualization on the dashboard, delivering real-time insights in under a minute.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: Signing in and signing up with OTP, managing profile, online shop, IoT data transfer, time series IoT data, driving risk analyzer, RESTful API, cache system

𝐏𝐫𝐨𝐣𝐞𝐜𝐭: 𝐏𝐂𝐑The project focused on developing a PCR system tailored for educational institutions, enabling researchers to effectively control the DNA cloning procedure through precise temperature regulation using Peltier thermoelectric actuators.• Utilizing QML for developing a user-friendly and seamless GUI.• Employing the Qt framework with C++ for the development of the underlying embedded device application.• Configuring the Embedded Linux system to optimize boot time and streamline on-boot application startup.• Implementing SPI communication protocol to facilitate communication with other microcontrollers on the board.𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:Successfully delivered a complete and fully responsive embedded GUI using QML, which provided excellent performance in the embedded environment.𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: GUI design and implementation, embedded Linux integration, on-boot setup, reliable design