Udit Manav
Senior Data Scientist (MLE)
New Delhi, Delhi, India
Summary
👤
Senior🎓
Top SchoolUdit Manav is a Senior Data Scientist (MLE) with around eight years of experience building production-grade ML systems across retail, consumer electronics, and clean-tech startups. Currently scaling last-mile delivery models and data pipelines at Walmart Global Tech India, he focuses on turning research-grade models into reliable, low-latency services used by millions daily. His toolkit spans TensorFlow/PyTorch, MLflow, AWS, ONNX and edge optimizations like quantization and pruning, and he has shipped on-device phishing protection for Samsung and automated thermal-anomaly detection that cut manual effort by nearly half at SenseHawk. Udit combines hands-on model engineering (CV, NLP, LLM fine-tuning with LoRA) with MLOps best practices—feature engineering, drift monitoring, CI/CD and explainability—to deliver measurable business impact. He also has a research bent, with a best-paper award for an edge-focused deepfake detector, and a habit of learning something new every day.
8 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at National Institute of Technology DelhiBachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Guru Gobind Singh Indraprastha University
Github Skills (30)
google10
python9
pandas-dataframe9
automation9
certificate9
model-validation9
validating9
jupyter-notebook9
effort8
machine-learning-models8
data-validation8
testing7
pytorch7
validation7
machine-learning7
Programming languages (4)
Github contributions (5)
uditmanav17/experiments
Apr 2020 - Sep 2021
getting familiar with git and github
Contributions:1 release, 4 PRs, 22 pushes in 1 year 4 months
uditmanav17/Flask-Blog
May 2020 - Jun 2021
A blogging application made using python, flask
Contributions:43 commits, 13 PRs, 39 pushes in 1 year 1 month
pythonflaskpython-flaskbloggingflask-application
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