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Aishwarya Jauhari Sharma

@aishwaryajauharishar

Machine Learning Engineer at Fraunhofer FHR who deployed a radar target detection API, reducing manual review by 22%.

Germany
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What I'm looking for

I’m focused on growing in LLM engineering, with hands-on projects in RAG and agents.

At Fraunhofer FHR, I built an automatic target detection system for radar images, taking deep learning models from training through to a tested API service and reducing manual review effort by 22%.

I also turned research into prototypes for detecting changes in sensor data over time. I benchmarked four deep learning approaches against classical baselines and moved the best-performing model into production.

At eBay, I built models to predict user drop-off from 2M+ user sessions and translated the findings into product changes with cross-functional teams, lifting lead conversions by around 12%. I also designed A/B tests and built SQL tables for daily marketing reports.

My recent projects include DocTract, a RAG pipeline for PDF question answering using pgvector and a local Mistral 7B, and an MLOps pipeline for day-ahead electricity price forecasting. I’m now focused on growing in LLM engineering, with hands-on projects in RAG and agents.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

OU

Otto-von-Guericke University

M.Sc., Digital Engineering

2019 - 2022

Pursued a Master of Science in Digital Engineering with coursework in ML & Data Science, Deep Learning, Business Analytics, and Databases. Thesis focused on deep learning-based methods to assess body composition in abdominal CT imaging.

VU

Visvesvaraya Technological University

B.E., Instrumentation Technology

2012 - 2016

Earned a Bachelor of Engineering in Instrumentation Technology with coursework in Microprocessors, Embedded Systems, Neural Networks, and Signal Processing.

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