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Nishant Yadav

Machine Learning Engineer

nishant.yadav@example.com | +1 (555) 010-3186 | Data City, Remote | linkedin.com/in/demo-nishant | github.com/demo-nishant

Summary

ML engineer with 4 years building recommendation and NLP systems at scale. Led model infrastructure for a demo commerce platform serving 300M+ daily inferences. Strong in Python, PyTorch, and end-to-end MLOps on cloud infrastructure.

Systems & Experience

ML Engineer II · Recommendations Feb 2022 – Present
SignalNest AI
  • Built a two-tower retrieval model for personalised feed ranking; improved CTR by 17% across 120M active users
  • Designed the feature store (Feast + Redis) that cut feature serving p99 from 28ms to 6ms
  • Led migration of training pipelines from Airflow to Kubeflow; reduced GPU idle time by 34%
Data Scientist · Supply Chain Jul 2020 – Jan 2022
Meridian Data Works
  • Built an XGBoost demand-forecasting model for 4k SKUs; reduced stockout rate by 12% across 80 stores
  • Created an NLP classifier (BERT fine-tune) to auto-tag 500k supplier documents with 94% precision

Projects

Python, PyTorch, FAISS
Lightweight two-tower retrieval library optimised for low-latency inference.
  • 600+ GitHub stars; used in 3 production systems at mid-size Indian e-commerce firms
Hindi Sentiment Corpus example.com/datasets/demo-sentiment
Python, HuggingFace Datasets
50k annotated Hindi social-media sentences for sentiment classification.
  • 10k+ downloads on HuggingFace Hub; cited in 4 academic papers

Education

Sample School of Computing
M.Tech, Computer Science — specialisation in ML · CGPA 9.1/10
2018 – 2020
North Valley University
B.Tech, Electronics & Communication Engineering
2014 – 2018

Skills

Python, PyTorch, SQL, Spark, AWS SageMaker, Kubernetes, TensorFlow, FAISS

Honors & Awards
  • Best Paper — Demo NLP Industry Track, 2023
  • Internal ML Hackathon — 1st place, 2023
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