Working as a senior backend software engineer for a fintech firm. My responsibilities include quickly prototyping ideas, and helping to move the organization to the cloud.

I worked remotely as a lead backend developer where my responsibilities include connecting different third party services together, designing & managing the main database, overlooking technology integration, writing automations, and managing servers.Base Technologies include:-Python-Java-Flask-SQLAlchemy-PosgreSQLExternal Sync:• Built a Java application that syncs data from multiple sources to a database, enabling complex analysis and reducing data querying and fetching burdens.Web Scraper:• Managed a web scraping project implemented in Java with JSoup and Selenium, which gathered data from numerous websites at a high speed.• Applied multi-threading techniques to improve performance, and utilized Bash scripts to streamline deployment.• Operated the project on a cloud-based platform.Flask Website:• Designed and maintained a Flask-based website that interacted with the database to present both public and internal web pages.• Created a custom API for real-time data updates on public pages and implemented access control on internal pages.• Incorporated specialized modules for HR and management, facilitating employee requests.• Implemented security measures such as CSRF tokens, form validation, and CSP ruleset.• Connected to other data streams including PostgreSQL, Redis, Memcache, and GCS.• Optimized site loading speed through browser and server-side caching.Response Bot:• Built a response bot using a third-party API to generate automated recommended responses to text.• Added custom symbols to support Python code execution in the suggested responses.

Worked on Fiverr offering different services, primarily writing scripts to automatically traverse a website, acquire data and save it in a use-able format. During my brief period of freelancing, communication and transparency with clients helped me to achieve and maintain a five star rating, helping me catapult my profile to the point it ranked fourth on search results for "web scraping".The process for web scraping started with listening to requirements and analyzing the target website, this is done to provide an estimate time for the entire task. Once everything was agreed upon, the scraping took place via Python if possible, otherwise Python with Selenium. Once the process was finished, the data was provided over in a format agreed upon such as TXT, CSV, XLSX.

I worked at FAST as a teachers assistant where my responsibilities included:Preparing/Checking assignments.Preparing/Checking quiz's.Giving TA sessions to help student with topics.