I have experience in front-end development and machine learning. I'm looking for a front-end or full-stack role, potentially in a position where I can leverage my DS/ML experience as well. In my current job, I'm building a recommendation system for matching cardholders with personalized merchant reward campaigns. I've also utilized my front-end experience to build internal dashboards for the aggregation and display of model performance metrics.
I have experience in front-end development and machine learning. I'm looking for a front-end or full-stack role, potentially in a position where I can leverage my DS/ML experience as well. In my current job, I'm building a recommendation system for matching cardholders with personalized merchant reward campaigns. I've also utilized my front-end experience to build internal dashboards for the aggregation and display of model performance metrics.
I have experience in front-end development and machine learning. I'm looking for a front-end or full-stack role, potentially in a position where I can leverage my DS/ML experience as well. In my current job, I'm building a recommendation system for matching cardholders with personalized merchant reward campaigns. I've also utilized my front-end experience to build internal dashboards for the aggregation and display of model performance metrics.
I have experience in front-end development and machine learning. I'm looking for a front-end or full-stack role, potentially in a position where I can leverage my DS/ML experience as well. In my current job, I'm building a recommendation system for matching cardholders with personalized merchant reward campaigns. I've also utilized my front-end experience to build internal dashboards for the aggregation and display of model performance metrics.
I have experience in front-end development and machine learning. I'm looking for a front-end or full-stack role, potentially in a position where I can leverage my DS/ML experience as well. In my current job, I'm building a recommendation system for matching cardholders with personalized merchant reward campaigns. I've also utilized my front-end experience to build internal dashboards for the aggregation and display of model performance metrics.
I'm a software engineer with 2 years of experience working in ML and front-end development. I'm looking for a front-end or full-stack role, potentially in a position where I can also leverage my experience in DS/ML.
In my current job, I'm working on a recommender system for matching cardholders with personalized merchant reward campaigns. I've also worked on transaction forecasting, i.e. predicting consumer spend at merchants based on factors such as their historical transactions, seasonal trends, and geolocation. I've also built internal web dashboards to aggregate and display performance metrics from our models.
I also really enjoy working on front-end personal projects. I built Karektar, a web app for designing exportable custom bitmap fonts, which was actually featured on Hacker News (https://news.ycombinator.com/item?id=37629119). I'm also currently working on a faithful recreation of PC Paintbrush -- the Windows 3.0 version of Paint -- on the web (https://github.com/nishanthjayram/paintbrush).
I have experience in front-end development and machine learning. I'm looking for a front-end or full-stack role, potentially in a position where I can leverage my DS/ML experience as well. In my current job, I'm building a recommendation system for matching cardholders with personalized merchant reward campaigns. I've also utilized my front-end experience to build internal dashboards for the aggregation and display of model performance metrics.
Remote: Yes (Preferred but also open to hybrid)
Willing to relocate: No
Technologies: TypeScript/JavaScript, Python, Go, React, Express.js, GraphQL, React Three Fiber, Vite, PyTorch, TensorFlow, PySpark
Resume: https://newtrino.ink/Resume.pdf
LinkedIn: https://www.linkedin.com/in/nishanth-jayram/
Email: nishanthjayram@gmail.com
About Me: - Developer with experience in machine learning, data science/engineering, and full-stack development
- Currently at Mastercard, where I've worked on developing a recommendation system to match cardholders with personalized merchant offers
- Built models to handle transaction/redemption forecasting
- Developed internal dashboards to visualize model performance metrics, combining full-stack and data science capabilities
- Looking for a front-end or full-stack role, though also open to DS/ML roles
In my spare time I like to play guitar, photograph birds, and watch old episodes of Carl Sagan's Cosmos.