Joel Jacquilin
Senior AI Engineer at Bajaj Finserv
Pune District, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolJoel Jacquilin is a Senior AI Engineer with 8 years of experience delivering production-grade ML systems across NLP, computer vision, and reinforcement learning. He has built scalable RAG and invoice-extraction pipelines—using LangChain, FAISS, LayoutLMv3 and YOLOv8—that cut manual query resolution by 65% and raised QC accuracy to 94%, and he operationalizes models on AWS SageMaker with CI/CD and MLflow monitoring. His background spans biomedical NLP at Innoplexus and real-time vision for underwater robotics, reflecting a rare blend of applied research and constrained-edge engineering. An active contributor to mlpack, he’s improved RL environments and refactored core value-clipping logic, showing attention to code quality in widely used open-source tooling. Based in Pune, he combines deep RL and PyTorch expertise with pragmatic deployment experience to move prototypes into reliable production systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
English, Malayalam, German, Hindi
Github Skills (13)
machine-learning10
cpp10
cplus10
reinforcement-learning10
data-structure9
algorithm9
data-structures9
algorithms9
deep-learning8
deeplearning-ai8
regression7
nearest-neighbor-search6
nearest-neighbors6
Programming languages (6)
Github contributions (5)
mlpack/mlpack
Mar 2020 - Apr 2020
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:24 commits, 2 PRs, 11 comments in 17 days
Contributions summary:Joel primarily focused on making changes to the reinforcement learning environments within the mlpack library. These changes included renaming variables for clarity, updating documentation, and, most notably, refactoring code to use `ClampRange` for value clipping across multiple environment files like `continuous_mountain_car.hpp`, `acrobot.hpp`, `mountain_car.hpp`, `pendulum.hpp`, and `reward_clipping.hpp`. These updates demonstrate a focus on improving code quality, consistency, and potentially, performance.
regressionheaderdeep-learningscientific-computingc-plus-plus
joeljosephjin/metadrop-pytorch
Jun 2021 - Feb 2022
Contributions:19 commits, 14 pushes, 2 branches in 7 months
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