Saravanan Rajamanickam
Research Scientist at A*Star
India
Summary
👤
Senior🎓
Top SchoolSaravanan Rajamanickam is a research scientist and data scientist with eight years of focused experience building and deploying NLP and generative AI systems, specializing in explainable AI, semantic text analytics, and production-grade MLOps. He has led design and implementation of LLM pipelines, finetuning and RAG-based Q&A systems, and created internal ML software IP while establishing CI/CD and monitoring practices across teams. His background spans applied research at A*STAR and industry roles delivering deep learning solutions for enterprise clients, with hands-on expertise in PyTorch/TensorFlow, SageMaker, MLflow and Airflow. Early career experience in large-scale order management and e-commerce analytics gives him a strong systems and data-engineering perspective that helps bridge research models to robust production services. Notably, he combines prompt engineering and chain-of-thought techniques with automated ML workflows to accelerate IR and Q&A model development for real-world applications.
8 years of coding experience
4 years of employment as a software developer
Non degree graduate Information Technology and Management, Non degree graduate Information Technology and Management at Illinois Institute of TechnologyBE ECE, BE ECE at PSG College of TechnologyMaster of Technology - MTech Enterprise Business Analytics, Master of Technology - MTech Enterprise Business Analytics at National University of Singapore
Github Skills (47)
jekyll10
jekyll-theme10
text-mining8
python8
pandas8
scikit-learn8
dask8
pydata8
scipy7
parallel7
parallel-computing7
nlp5
natural-language-processing5
wordnet5
clip5
Programming languages (5)
Github contributions (5)
saravananpsg/saravananpsg.github.io
Dec 2020 - Dec 2024
Build a Jekyll blog in minutes, without touching the command line.
Contributions:20 pushes in 4 years
jekyll-blogjekylljekyll-thememinutes
saravananpsg/udacity-deep-reinforcement-learning
Feb 2020 - Mar 2020
This repository is created for the submission of udacity deep reinforcement learning course
Contributions:22 commits, 2 PRs, 24 pushes in 17 days
udacitydeep-learningreinforcement-learningdeep-reinforcement-learningreinforcement
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