Klaim is a usage-based billing platform designed to maximize revenue for AI startups. As a founder/CEO, I basically do nothing and everything and anything in between - whether it be development, sales, marketing, HR, accounting, and LinkedIn postings.

Ceeya is a personal brand builder for freelancers. On any given day freelancers spend 70% of their time on marketing and sales activities. They write content on LinkedIn and Instagram. They write blogs. They design and build their websites. They sell services and host events online. It is just too overwhelming. What’s worse, most of them get no meaningful results from those activities. That’s why we built Ceeya. Ceeya is a one-stop personal branding platform where freelancers can build hyper-personalized shareable content and commerce pages using GenAI images and text. For example, based on the type of business they run and their personalities, we recommend news links they can share or services they can offer to their own audience. All of these recommendations come in highly engaging card formats they can share easily. With these recommendation cards, they can also quickly build well-branded commerce pages on Ceeya where they can run their business. We are different from the competitors in two areas. First, we offer customized AI images unique to each person. This is important because freelancers want something unique to them. Second, we have a high network effect with cross-promotion. Our users can easily cross-promote each other on our platform to maximize discovery and visibility. The future of work is solopreneurship, like freelancers and creators. We are building a platform for the future of work. Thank you.

Worked on a project which predicts users' specific behavior using propensity models (machine learning). I worked on building logics to aggregate/process data and send timely notifications to the users. Tools used: Apache Spark, Hadoop, Jupyter Notebook, Scala. My other projects include building features on the main LinkedIn mobile app for both iOS/Android and the API layer.

2017 A member of Intel's True VR team. Working as a tech-lead to develop the TrueVR SDK for Android and iOS. • TrueVR: (https://www.intel.com/content/www/us/en/virtual-reality/true-vr-technology-overview.html) September 2016 to July 2017 Completed the development of the iOS application of SwingIQ (https://www.swingiq.com) as a tech-lead and main developer leading a team of 3 software engineers and 1 QA engineer. Developed the BLE (Bluetooth) communication module, database (Core Data) operations, remote server communication, advanced UI rendering (e.g. SceneKit) while designing the overall architecture of the app and managing the entire development. • SwingIQ is a wearable technology which analyzes baseball batters’ kinetic movements. The product incorporates sensors, electronics, firmware, BLE, and mobile applications with sophisticated communication protocols.

Developed several full-stack applications as the main developer and tech lead. Used Python/SQL/Swift/Java/Objective-C. DayPath (http://www.pionlabs.com/daypath/) - Automatic location tracking app for iOS. Invented highly-sophisticated algorithms to detect users’ locations automatically when the app is not in use. 4.5/5.0 ratings on iTunes. HollerHear (http://www.hollerhear.com) - Social networking app using voice. Led the development of both the front and backend of the application which include an iOS app and Python Django running on AWS.

A part of the mobile team for eBay and helped develop, maintain, and modify the following eBay iOS apps. Was the main developer to integrate the Cortexica’s car matching feature with the eBay Motors (feature was presented in front of the eBay CTO). Products I worked on include: eBay for iOS, eBay Motors for iOS, eBay Fashion for iOS, eBay Instant Sale for iOS, eBay Instant Sale for Android (experimental)