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prashanth hossalePH
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prashanth hossale

@prashanthhossale

Full-Stack AI Engineer at AB InBev GCC building agentic RAG with 94% citation precision.

India
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At AB InBev GCC, I built an in-house Deep Researcher using CrewAI, reaching 94% citation precision in RAGAS evaluation. I traced agent workflows with OpenTelemetry and Arize Phoenix, and used intent-driven prompting and memoization to manage latency.

I also built and deployed a FastAPI and Next.js application in five working days, and migrated managed Azure PostgreSQL to PostgreSQL in Kubernetes with no data loss. Earlier, at Samsung Prism, I implemented and trained a PyTorch monocular depth estimation model and reduced inference latency from 30ms to 11.9ms.

Experience

Work history, roles, and key accomplishments

AG

Data Scientist Intern

AB InBev GCC

Feb 2025 - Jul 2025 (5 months)

Built a parallel trial runner with Python multiprocessing, achieving a ~16x speedup in training cycles. Refactored core internal Python packages to meet SonarQube quality gates.

SP

Machine Learning Research Intern

Samsung Prism

Aug 2023 - May 2024 (9 months)

Implemented and trained an SfMLearner-style Monodepth architecture in PyTorch, benchmarking against MiDaS variants. Optimized real-time inference latency from 30ms to 11.9ms through algorithmic parallelization.

Education

Degrees, certifications, and relevant coursework

Ramaiah Institute of Technology (MSRIT) logoRM

Ramaiah Institute of Technology (MSRIT)

Bachelor of Engineering, Artificial Intelligence & Data Science

2021 - 2025

Grade: 8.3/10

Pursued a Bachelor of Engineering in Artificial Intelligence & Data Science, achieving a CGPA of 8.3 out of 10.

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