Twisha Bansal

Software Engineer

Bengaluru, Karnataka, India5 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI and Machine Learning technologies.
Proven track record in optimizing cloud solutions.
Strong background in data science and research methodologies.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and Cloud Computing.

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Skills

Core Skills

Artificial Intelligence (ai)Google CloudData ScienceResearchMachine LearningPython (programming Language)Java

Other Skills

JSDatabasesGenerative AIAgentic AI DevelopmentDifferential PrivacyProtocol BuffersPytestRPCsStubsJUnitMockitoBackendDeep LearningData AnalysisData Visualization

Experience

5 yrs 5 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 10 mos

Current Experience

Google

3 roles

Software Engineer

Jul 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · Hybrid

Python (Programming Language)Artificial Intelligence (AI)Google CloudJSDatabasesGenerative AI+1

Software Engineering Intern

May 2022 – Aug 2022 · 3 mos · Bengaluru, Karnataka, India

1. Automated Training and Experimentation with ML Models in a Google internal tool to save Software Engineer Toil in Google Cloud.
2. Decreased the customer onboarding time by 48 hrs and saved 15 hrs of Engineer toil each week.
3. Gained experience in Protocol Buffers using Python. Implemented test suite using Pytest and Mocks. Used RPCs and Stubs to communicate with other services.

Google STEP Intern

May 2021 – Aug 2021 · 3 mos

1. Integrated a Contextual Bandit Model to Optimize User Experience in Google Pay.
2. Collaborated with different teams across time zones.
3. Gained experience in Protocol Buffers using Java. Implemented test suite using Truth, JUnit, Mockito and Guice.
4. Presented the project and demonstrated its working.

India urban data exchange (iudx)

Intern (Analytics and MLOps)

Aug 2022 – Dec 2022 · 4 mos · Bengaluru, Karnataka, India · Hybrid

1. Developed data science solutions to determine the routes and schedules for various garbage collection vehicles in the city of Varanasi.
2. Ramped up on Kubernetes and Docker and connected different components of the analytics engine. Performed benchmarking to determine tech stacks to increase pipeline efficiency.
3. Researched Differential Privacy and its implementations in the process of ML model training.

Python (Programming Language)Data ScienceResearchDifferential Privacy