I like building things.
I am a data scientist and machine learning engineer working across applied AI, forecasting, retrieval, and automation. I care about the business problem first, the model second, and shipping something useful at the end.
- LLM systems with retrieval, memory, and evaluation
- Forecasting, risk, and decision-support models
- Document AI pipelines and workflow automation
- Product-minded data science that people can actually use
- Lineage: narrative AI workspace with time-aware retrieval and character memory
- LocalPsych: privacy-first local mental health assistant fine-tuned with QLoRA
- Synchrony Credit Intelligence: forecasting, fraud, segmentation, and credit recommendation engine
- Railway Wheel Failure Prediction: predictive maintenance pipeline for 30-day-ahead failure detection
Cooking, badminton, painting, and video games.
- Email:
manastokale@gmail.com - LinkedIn:
https://www.linkedin.com/in/manas-tokale/ - Portfolio:
https://manastokale.github.io/portfolio/



