Mukesh Arambakam
Staff AI ML Engineer at Genesys
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolMukesh Arambakam is a Staff AI/ML Engineer based in Dublin with over 11 years in software engineering and 7+ years focused on AI/ML, currently leading AI initiatives in Genesys R&D after a senior ML role on Oracle’s Neural Machine Translation team. He builds end-to-end production ML systems—from data cleaning and model training to deployment—specializing in LLM fine-tuning (PEFT, LoRA/QLoRA), RAG, agentic AI and MCP server architectures. Known for bridging research and production, he has driven NMT pipeline improvements, novel evaluation frameworks using LLMs, and scalable agent orchestration for high-volume LLM calls. Proficient across Python, Java, C++ and ML frameworks (HuggingFace, PyTorch, TensorFlow), he pairs deep technical breadth with pragmatic engineering practices like containerization and CI. A Trinity College Dublin MS Data Science graduate, he also shares his work and tooling on GitHub, reflecting a practical orientation toward reproducible, production-ready ML solutions.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at Amrita Vishwa Vidyapeetham, CoimbatoreMaster of Science - MS Data Science, Master of Science - MS Data Science at Trinity College DublinKendriya Vidyalaya Sangathan
English, Tamil, Hindi, Telugu
Stackoverflow
323reputation
1.4mreached
17answers
0questions
Github Skills (126)
javascript10
overleaf10
sharelatex10
latex10
resume10
job-application10
xelatex10
nodejs10
pdf10
tex10
react10
convolutional-neural-networks9
mongoose9
csi9
math9
Programming languages (9)
Github contributions (5)
mukeshmk/our-note
Nov 2015 - Sep 2018
Contributions:51 commits, 5 PRs, 30 pushes in 2 years 10 months
dbmsmysqlsqlsemdatabase
mukeshmk/twitter-sentiment-analysis
Feb 2020 - Jun 2020
Twitter Sentiment Analysis - An opinion poll where public tweets considered as an indicator to predict the actual election results.
Contributions:36 commits, 1 push in 3 months
election-resultsjobsearchopiniontwitter-sentiment-analysispolitics
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