Backend Engineer | Data Engineering | MLOps Engineer
Built backend systems, wrangled data, and deployed machine learning models for startups in 4 years (think Fintech to AutoML!). Python pro, fluent in AWS, GCP, Docker & Kubernetes. Led the backend charge at a Fintech company, then tackled senior software engineering at an AutoML startup.
Boogalooed with Python, Django, and Postgres in the back like a funky bassist, then orchestrated a CI/CD deployment with Docker containers and Kubernetes on Github Actions, keeping the beat steady. Conjured a fuzzy clustering spell (think البيانات [al- بيانات, meaning "the data" in Arabic]) to vanquish inconsistent bill grouping, boosting accuracy by 25%, and auto-assigned transactions with webhooks for a sweeter customer experience. All the while, fired up a real-time notification system using Expo Push Notification Service, Mailchimp and Twilio, keeping thousands of users groovin' and appin'. This code maestro's got the moves!
Built a user-friendly REST API with Python's FastAPI that's smoother than a James Brown solo, boosting app integration by 30%. Users can now automate tasks and work like a disco dancer on a deadline (increased user satisfaction, boom!). This wasn't just any API though, it was backed by Google Cloud Storage with SLA replication, a data upload solution so fast it could outrun a cheetah (50% speed increase, 10x more concurrent users, whammy!). But the data didn't just sit there lookin' pretty. Created a validation service with multiple data exploration pipelines, think data disco with correlation, null percentage, and outlier checks (all thanks to websockets for real-time communication). Revamped project management with agile frameworks, a bug board system that keeps track of issues like a fly swatter keeps track of...well, flies (transparency and faster development FTW!). Topped it all off by integrating Zapier, Google Sheets, Airtable, and Dropbox like a DJ mixing the hottest tracks. This code maestro's got the tech stack on lock: Python, FastAPI, Postgres, Kubernetes, Docker, webhooks, Swagger API, and websockets – pure funky fresh!
Boogie down with this! Built a preprocessor that normalizes and transforms data faster than a disco spin class. This bad boy auto-selects data types like a psychic and filters out the junk like it's Studio 54's bouncer (clean data, baby!). Kernel performance and data streaming got a 2x speed boost thanks to lazy loading components – the application loads for users like a greased-up dance floor (reduced load time = happy groovers!). Slid the Github API into the platform smoother than a roller disco, so tracking models and datasets is a disco line all its own (changes become funky beats!). Developed a next-gen user management system with role-based access control and AI-powered anomaly detection – think a high-tech disco with a guest list and a robot bouncer who can sniff out trouble (reduced admin overhead by 30%, woohoo!). This code maestro's got the moves AND the tech stack: Python, Django, Postgres, Kubernetes, Docker, webhooks, and websockets – pure funky fresh!
Built a far-out data pipeline that scrapes earning call transcripts like a disco record collector after a sale. These transcripts got tagged with sentiment analysis, hotter than a Donna Summer track (positive, negative, the whole shebang!). Stashed the results in S3, a cloud storage space that's bigger than a bell bottom (scalability, baby!). Next, whipped up a Transfer Learning ML Pipeline, a fancy way of saying it learned from all that labeled data like a student cramming for finals. This trained model then got incubated (think comfy cocoon) in a groovy REST Flask App, deployed in a Kubernetes Cluster on Google Cloud – that's a high-tech dance party in the sky! And to keep the party going, built an automation pipeline that scrapes new data and tests it with the funky Flask App – fresh transcripts, fresh analysis, all automatic! This code maestro's got the moves and the tech skills to make data analysis a disco inferno!