Prasad Ostwal
Software Engineer at Tise
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolPrasad Ostwal is a versatile software engineer with nine years of experience building cloud-native systems, ML pipelines, and embedded IoT products across startups and enterprise teams. He’s been a founding engineer twice, responsible for end-to-end AWS infrastructure, serverless architectures, observability stacks, and LLM-driven document parsing at Modulize and Aranti.ai’s predictive maintenance models for marine data. Currently based in Oslo and working at Tise, Prasad blends practical engineering with a minimalist maker mindset and a persistent curiosity for new tech. His early work includes an IoT system sold to ~50K farmers in India, reflecting a rare combination of hardware roots and production ML/backend expertise. An active GitHub presence and a lifelong love of technology drive him to iterate quickly and simplify complex systems. He excels at turning arcane data and legacy workflows into automated, reliable services.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering, Electronics and Telecommunications, Bachelor of Engineering, Electronics and Telecommunications at Savitribai Phule Pune University
English, Hindi, Marathi, Marwari, Sanskrit, Norwegian
Stackoverflow
379reputation
58kreached
3answers
4questions
Github Skills (104)
k-modes10
bayesian-network10
belief-propagation10
graphical-models9
message-passing9
principal-component-analysis9
categorical9
gaussian9
clustering-algorithm9
bayesian9
nlp8
music8
polyhedra8
qt8
python8
Programming languages (7)
Github contributions (5)
ostwalprasad/WordFrequencyPython
May 2018 - Sep 2021
Python code to find out most frequent words from different word lists
Contributions:17 commits, 1 PR, 13 pushes in 3 years 3 months
nlppython-codepythonfrequentlists
ostwalprasad/LGNpy
May 2020 - Oct 2020
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Contributions:2 releases, 87 commits, 5 PRs in 5 months
representationbayesian-networkparameter-learningbayesian-inferenceinference
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