# Rohan M. > Backend Engineer | Data Engineering | MLOps Engineer Location: San Francisco Bay Area, United States Profile: https://flows.cv/rohanm1 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. Masters in Information Systems from Northeastern University - basically, I'm your one-stop shop for all things backend, data, and ML! ## Work Experience ### Lead Software Engineer, Backend @ The Beans Jan 2023 – Jan 2024 | San Francisco, California, United States 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! ### Senior Software Engineer @ Obviously AI Jan 2022 – Jan 2023 ### Software Engineer 2, Backend @ Obviously AI Jan 2021 – Jan 2022 | San Francisco, California, United States 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! ### Software Engineer, Backend @ PerceptiLabs Jan 2020 – Jan 2021 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! ### Research Assistant @ Northeastern University Jan 2019 – Jan 2019 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! ### Graduate Teaching Assistant @ Northeastern University Jan 2018 – Jan 2019 | San Francisco Bay Area ### Student Ambassador @ Northeastern University Jan 2018 – Jan 2019 | San Jose, California ### Data Science Intern @ Flipper Inc Jan 2019 – Jan 2019 | San Francisco Bay Area Summer '19 at Flipper Inc.? Data disco intern on the scene! Snatched raw data from the S3 Lake, labeled it shiny, and boogied it to Redshift with Lambda. Even built the brain (LSTM model, ya dig?) for their Virtual Coach, turning swimmers into aquatic aces. This internship was a funky fresh wave! ## Education ### Master's degree in Information Systems Northeastern University ### Bachelor's degree in Computer Science Rajiv Gandhi Prodyogiki Vishwavidyalaya ## Contact & Social - LinkedIn: https://linkedin.com/in/rohan-mandhanya --- Source: https://flows.cv/rohanm1 JSON Resume: https://flows.cv/rohanm1/resume.json Last updated: 2026-03-29