Venkatesh Rathod
Deputy Manager - AI Research at WNS
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolVenkatesh Rathod is a Deputy Manager in AI Research with nine years of hands-on experience building and deploying ML, GenAI, and conversational AI solutions at scale. He combines deep technical expertise in NLP, LLM fine-tuning, ASR, computer vision and MLOps/AIOps with a proven ability to drive consensus and align AI strategy with business outcomes. At WNS he led end-to-end GenAI projects—including intelligent document processing and low-latency, cost-effective LLM deployments—and currently focuses on R&D around reward models, data augmentation and fine-tuning of OpenAI and Nvidia LLMs. Comfortable across Python, TensorFlow/PyTorch, Rasa and cloud platforms, he also contributes to open-source tooling and experiments with public datasets to surface useful analytics insights. Colleagues rely on him for turning research prototypes into production-grade platforms that cut costs and improve decision-making. Based in Mumbai, he pairs pragmatic engineering with a continual curiosity for emerging AI approaches.
9 years of coding experience
7 years of employment as a software developer
Machine Learning, Machine Learning at CourseraArtificial Intelligence, Artificial Intelligence at fast.aiDeep Learning (Google), Deep Learning (Google) at UdacityBachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at University of MumbaiHSC, Science, HSC, Science at K J Somaiya College of Science & CommerceSSC, SSC at Shree Sanatan Dharam Vidyalaya
English, Hindi, Marathi
Stackoverflow
11reputation
1kreached
1answer
0questions
Github Skills (50)
prediction-model10
stock-price-prediction10
stock10
seaborn10
matplotlib10
bots10
google-assistant10
facebook10
dialogue-systems10
voice10
iris-dataset10
passenger10
bot-framework10
prediction10
jupyter-notebook10
Programming languages (4)
Github contributions (5)
venky14/Machine-Learning-with-Iris-Dataset
Aug 2017 - Oct 2020
Data Visualization and Machine Learning with Iris Dataset.
Contributions:12 commits, 3 PRs, 9 pushes in 3 years 2 months
iris-datasetseabornclassification-algorithmdata-sciencedata-and-visualization
venky14/Data-Analysis-Project-Titanic
Jul 2017 - Oct 2020
Data Analysis Solution for Titanic passenger data.
Contributions:14 commits, 2 PRs, 11 pushes in 3 years 3 months
data-analysispythonseaborndata-sciencenumpy
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