Skip to main content
Sahani ShakyaSS
Looking for a job

Sahani Shakya

@sahanishakya

Flutter Developer at Deriv who improved shared Flutter releases and built trading and wallet features.

Malaysia
Message

At Deriv, I worked on Deriv GO, Core, and FlutterFlow teams, building and maintaining the Wallet Management System and implementing trading contract features. I migrated a shared Flutter monorepo to Git tag-based semantic versioning, automated releases, and improved the CI pipeline.

Before Deriv, I built payment integrations for NCash and contributed to mobile and backend products at AUXO and Tathyakar Technologies. I'm now researching fairness-aware, explainable machine learning for ICU mortality prediction as part of my Master of Computing (Research) at Multimedia University.

Experience

Work history, roles, and key accomplishments

AU

Full Stack Developer

AUXO

Oct 2022 - Feb 2023 (4 months)

Developed backend and mobile for airport security app SATT, mentoring a junior developer and collaborating with designers. Built REST APIs with Django and deployed to AWS.

ST

Mobile Engineer

Swivt Technologies

Jan 2022 - Mar 2022 (2 months)

Sole developer on two internal Flutter apps for a Hong Kong-based company.

TT

Founding Engineer

Tathyakar Technologies

Jul 2021 - Jan 2022 (6 months)

Built and maintained Flutter mobile app, later took on backend development with Django, contributing to database design and growing product adoption to ~20 restaurants.

Education

Degrees, certifications, and relevant coursework

Multimedia University logoMU

Multimedia University

Master of Computing (Research), Computer Science

2026 -

Activities and societies: Researching fairness-aware, explainable machine learning for ICU mortality prediction, using MIMIC-IV and eICU datasets; implementing and evaluating bias mitigation techniques; measuring fairness using Fairlearn and generating explanations using SHAP.

Pursuing a Master of Computing (Research) with a thesis on mitigating socioeconomic bias in ICU mortality prediction using fairness-aware and explainable machine learning. Expected to graduate in July 2027.

University of Wolverhampton logoUW

University of Wolverhampton

BSc (Hons), Computer Science

Grade: First Class Honours

Completed a BSc (Hons) in Computer Science with First Class Honours. Final year project involved building a dog breed classifier using CNNs.

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan