Darpan Jain

Lead Machine Learning Engineer with 9+ years of experience building products in Applied NLP and Large Language Models (LLMs).

Currently driving Personalization & AI Enablement at Crunchyroll (Sony Pictures Entertainment).

Explore My Work

Can Language Model Moderators Improve the Health of Online Discourse?

H Cho, S Liu, T Shi, Darpan Jain, B Rizk, Y Huang, Z Lu, N Wen, J Gratch, E Ferrara, J May

North American Chapter of the Association for Computational Linguistics (NAACL) 2024

University of Southern California logo

University of Southern California (USC)

Master of Science in Electrical & Computer Engineering

Specialization in Machine Learning & Data Science

GPA 3.92/4.0


Coursework Highlights
  • Advanced Natural Language Processing - A PhD course, helping develop expertise in reproduction of state-of-the-art NLP research and technical publication writing.
  • Advanced Computer Vision - A PhD course providing an overview on the traditional and Deep Learning techniques for Computer Vision.
  • Information Retrieval - Examines key aspects of information retrieval as they apply to search engines; web crawling, indexing, querying and quality of results are studied.
  • Machine Learning for Medical Data -A course that gives great insight on using Graph Neural Networks and strategies to handle highly imbalanced data and skewed data distribution.


University of Pune logo

University of Pune, India

Bachelor of Engineering in Electrical Engineering

Programming Languages

Programming Languages


Python, GoLang, JAX, SQL, Scala, Java, C, C++, Javascript

Icons for Deep Learning and Machine Learning skills

NLP & Machine Learning


PyTorch, Tensorflow, TensorRT, CUDA, NLTK, Langchain, LlamaIndex, SpaCy, HuggingFace Transformers, DeepSpeed, safetensors, FastAPI

Machine Learning Platforms

Model Deployment & CI/CD


Model serving (Ray, TorchServe, TFServing), MLOps (MLFlow, WAND), CI/CD (Docker, Kubernetes, Kubeflow, Metaflow, GitHub Actions, Terraform, Jenkins)

Databases icon

Data Engineering and Monitoring


Vector Stores, Kafka, Apache Spark, PySpark, MongoDB, Redis, ElasticSearch, Hadoop, DynamoDB, Kafka, Kinesis, Datadog, Splunk, Prometheus, Grafana

ML & AI Frameworks

Frameworks & Technologies


Linux, Git, RESTful APIs, gRPC, Flask, Django, AWS, GCP, Airflow, ONNX, Databricks, Tableau

Have something interesting in mind?

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