Anirban Sen
Sr. MLE @ Google | Prev - Amazon, Musigma | Technical Content Writer at Medium and Kaggler
- Role
- Sr Machine Learning Engineer at Google
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Anirban Sen
Data and Applied Scientist with ~8 years of experience in research & development, evaluating, testing and deploying predictive models to solve business problems for e-Commerce, retail and technologyExperience working in projects like:+ Visual Search using finetuned CLIP model+ Outfit Builder/Complimentary Recommendation Model by developing Multi-Modal (Image+Text) models finetuning ResNet for image embeddings and SBERT for text embeddings and MLP siamese models+ Customer Age Prediction using Catboost and Attention Based Model for product sequence classification+ Item Level Returns Prediction + Predictive Process Monitoring using LSTM+ Multi-Phase Time to Complete Classification model+ Customer Segmentation+ Lookalike Modelling+ B2B Turnover Forecasting+ Collaborative filtering based Recommendation enginePersonal Projects:+ Generative Q&A over Documents using LangChain and OpenAI+ Real-time extractive Q&A on product pages using APIGateway, Lambda, Sagemaker endpoint and RoBERTa finetuned on the SQuAD dataset+ Toxic Comment Classification+ Automatic Image CaptioningSkills: Python, SQL, Machine Learning (Classification, Regression, Clustering, Dimensionality Reduction), NLP(LSTM, RNN, BERT, Sentiment Classification, Information Extraction, Intent Classification, Slot Filling, Extractive and abstractive summarisation, NER, Word embeddings including Word2Vec, Doc2Vec, fastText, sequence labelling), Computer Vision (Image Classification, Image Captioning), Scikit Learn, Keras, Pytorch, Apache Spark MLlib, Celonis, MLOps, Model Interpretation (SHAP, LIME)E-Mail - a••••••••@gmail.comMedium : https://medium.com/@anirbansen2709Github : https://github.com/anirbansen2709Kaggle :
Experience
Sr Machine Learning Engineer
Sep 2024 — Present · Bengaluru, IN
Search Content Annotations and Transformations]- Fine tuning and Distilling Gemini Models for Video Annotations[Search LLM Optimization]- Optimizing Gemini Models for Throughput and Latency implementing architectural changes, training drafter models
Education
Udacity
Computer Vision Nanodegree, Computer Science
Sikkim Manipal Institute of Technology
Bachelor of Technology (B.Tech.), Computer Science
2013 — 2017
Frontier Higher Secondary School, Ziro, Arunachal Pradesh
AISSE
2010 — 2011
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