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Mansi Kaushik 23bhi10002MB
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Mansi Kaushik 23bhi10002

@mansikaushik23bhi100

AI/ML researcher at IISER Bhopal who developed a federated LLM fine-tuning pipeline that reduced training loss by 79%.

India
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At the Indian Institute of Science Education and Research (IISER), Bhopal, I built a PyTorch federated LLM fine-tuning pipeline across 50 non-IID clients, reducing training loss by 79% over 100 rounds. I also developed an OLS-based semantic alignment method to mitigate stale-update drift in asynchronous federated learning.

I applied LoRA to reduce communication payloads by about 1000× while enabling efficient LLM fine-tuning. In my FinSight project, I analyzed customer records and developed a risk-aware offer decision framework, validating the targeting approach with A/B testing.

I also developed a computer vision narration system that combines OCR and text-to-speech for accessible scene narration. It achieved 90.96% OCR accuracy and was published at IEEE IC-CGU 2025.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

B.Tech, Computer Science and Engineering

2023 -

Grade: 8.8/10

Pursuing B.Tech in Computer Science and Engineering with a CGPA of 8.8/10.

CS

Carmel Convent Sr. Sec. School

Higher Secondary Certificate, General Studies

Grade: 92.6%

Completed Class XII with 92.6% and Class X with 91.0%.

University of Michigan logoUM

University of Michigan

Certification, Machine Learning

Certified in Applied Machine Learning in Python.

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