Darpan Jain

Lead Machine Learning Engineer with over
7 years of demonstrated experience spearheading ML & AI initiatives.
Current work in Applied ℕatural Language Processing & Large Language Models (LLMs)
at Sony Picturess' Crunchyroll.

Read on!

Work Experience

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Crunchyroll Logo

 

Crunchyroll (Sony Pictures Entertainment)

Senior Machine Learning Engineer


  • As the first Machine Learning Engineer for the organization, leading several initiatives across the organization to build Crunchyroll’s AI Platform.
  • Building the Recommendations & Search Platform to deliver personalized experiences to anime fans worldwide on the streaming platform.

(Jan 2024 - Present)

Pixstory AI logo

 

Pixstory

Lead Machine Learning Engineer


  • Spearheaded Pixstory’s RAG-based Conversational Search, providing precise user query responses grounded in verified knowledge bases. Deployed in production within 5 months, serving queries for over 72K monthly users.
  • Implemented systems to mitigate hallucination and misinformation from self-hosted Large Language Models (LLMs) generations through rigorous evaluations and re-ranking trusted sources for reliable information retrieval.

(May 2023 - Feb 2024)

USC-ISI logo

 

Information Sciences Institue (USC-ISI)

Applied Researcher


  • Led development of conflict resolution dialogue agents for DARPA’s Civil Sanctuary Program, as an Applied Researcher with the Natural Language group (CUTE LAB NAME) at USC-ISI.
  • Designed and deployed a scalable chatbot for mitigating toxic behavior on social media through non-violent communication strategies, using a system of pre-trained and fine-tuned LLMs generation capabilities; also including prompting GPT-3’s advanced transformer-based (the model that drives ChatGPT!) generations.
  • Moderated over 15k multilingual Reddit posts with 85% true positive rate in French and German on popular subreddits.
  • You can find the published research paper here, which will presented at NAACL 2024, Main Conference later this year.

(January 2022 - July 2023)

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Lumin.ai

Software Development Intern


  • Contributed in developing the conversational AI for Lumin.ai as a Smart Scheduler & Sales Accelerator to enhance customer interactions and optimize the sales funnel for 5+ product and franchise owners.
  • Advocated for efficient documentation using Markdown and managed customer interactions for multiple clients.

(May 2022 - August 2022)

Warner Bros Discovery logo

 

Warner Bros Discovery

Software Development Engineer - Machine Learning


  • Boosted user engagement on Discovery Plus (D+) as part of the ”Personalization and Recommendations” team.
  • Employed Apache Spark and Airflow to build efficient ETL pipelines in a distributed environment, and executed A/B tests to validate and refine new recommendation features for the D+ platform.
  • Led the development of server-side ad-insertion SDKs for Android and Web, driving increased ad revenue for D+ sports content in Europe.

(September 2020 - August 2021)

AdSparx logo

 

AdSparx Inc

(now Warner Bros. Discovery)

Machine Learning Engineer


  • Spearheaded the research, design, and development of MiDAS, a micro-service-based system serving personalized ads to millions of users on OTT platforms.
  • Designed and trained Computer Vision models with TensorFlow, deployed on Kubernetes to enable dynamic server-side ad-insertion for 40+ channels, boosting revenue for U.S. publishers.
  • Developed a tool to automate the dataset annotation process, by leveraging SCTE-35 markers in HLS and DASH streams.
  • Leveraged multi-step recurrent networks on time series data for ad break forecasting. This resulted in a 30% reduction in resource consumption and network calls to the SSAI backend.
  • Member of the senior development team at AdSparx that was acquired by Warner Bros Discovery in September 2020.

(March 2019 - September 2020)

IoTIoT logo

 

IoTIoT

Machine Learning Engineer


  • Led and mentored a team of 30 for catering Machine Learning applications with on-Edge capabilities, for Embedded Linux platforms.
  • Developed a crowd flow analysis product using face and voice recognition for event registration, optimized for on-chip GPUs to showcase AI-on-Edge computing capabilities.
  • Worked on Pose estimation for detection and tracking of human body pose to create an immersive experience for users for a video gaming platform.

(May 2018 - January 2019)

Consulting Projects

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Defeat Covid-19 logo

 

Defeat COVID-19

Machine Learning Lead


  • In light of the COVID-19 pandemic, co-founded DefeatCovid, a not-for-profit organization, which leveraged technology to increase public awareness and aid in curbing the spread of the disease.
  • Led a team to build a tool to provide early stage diagnosis of the symptoms and risk assesment for Covid-19, using crowdsourced data and Deep Learning techniques.
  • The tool included a Question-Answer Chatbot based on BERT to help navigate users through the website, provide information from government verified sources and address misinformation about Covid-19.
  • It also included a real-time dashboard and interactive heatmap interface to identify at-risk localities.

(March 2020 - May 2020)

Prasaurus logo

 

Prasaurus Sports Analytics

Artificial Intelligence Consultant


  • Led a team to design a framework for real-time action recognition and perform statistical analysis, providing deep insights for player performance tracking and improvement, for an academy training national badminton players.
  • The models captured Spatio-temporal features across frames based on two-stream networks and ActionVLAD for Action Recognition, and shuttle and player tracking using a custom trained MobileNet, to provide metrics such as 'Dominant areas'.

(June 2019 - September 2019)

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InProspect Technologies

Machine Learing and Strategic Consultant


  • Managed a team of engineers to design and develop a product to propel undergraduates towards career goals by providing curated career guidance. The platform provided analytics for educational institutions via the 'Enterprise Resource Planning' system.
  • Created a personalization system for recommendations to help achieve user-specified goals by aiding in coursework selection and extra-curricular activities. This ensured high success rates in the individuals' field of interest.
  • Was part of the strategic planning for incorporating product changes to drive user engagement.

(March 2019 - May 2019)

Ubuntoo logo

 

Ubuntoo LLC

Content Contributor


  • A global environmental solutions platform promoting sustainable economic growth.
  • Researched and created technical reports on companies and organizations innovating in the use of Machine Learning and Computer Vision.
  • The solutions included high accuracy waste sorting systems and autonomous waste collection bots; centered around using technology to tackle environmental issues and promote sustainable development.

(September 2019 - December 2019)

Occipital Tech logo

 

Occipital Tech

(now AgroGrade)

Computer Vision Engineer


  • A startup offering products in Agrotech to classify and grade agricultural produce using Computer Vision, resulting in reduced wastage and maximizing profits.
  • Worked on the pipeline for preprocessing of real-time image data by Background Segmentation using methods like Gaussian Mixture Models and Watershed Algorithm to tackle camera jitter and dynamic lighting conditions.
  • The effort led to an ~20% reduction in preprocessing time, along with enhancing image noise reduction by 14-15%.

(February 2019 - March 2019)

Publications

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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, Main Conference

Curriculum

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  • Education
  • Leadership
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University of Southern California (USC), Los Angeles, California

Master of Science in Electrical & Computer Engineering
Specialization in Machine Learning & Data Science
GPA 3.92/4.0

Coursework Highlights

  • Advanced Natural Lanuage 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.



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University of Pune, India

Bachelor of Engineering in Electrical Engineering
First Class with Distinction
Entrepreneurship Development Cell   
  • Advisory Board Member    -    August 2017 to July 2018
  • Head of Sponsorship          -   August 2016 to July 2017
  • Documentation Officer      -   August 2015 to July 2016

IEEE Student Committee   
  • Vice Chairman    -   July 2016 to September 2017]

Pune Model United Nations (PMUN)
  • Organizing Committee Member  -   May 2012 to January 2013

Technical Skills

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Programming Languages

Programming Languages


Python / Java / C / C++ / Javascript / GoLang / Scala / R / MATLAB / Julia / Embedded C

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Machine Learning


Tensorflow / PyTorch / MXNet / PySpark / OpenCV / CUDA / Librosa / NLTK / SpaCy / OpenNLP / TensorRT / TFLite

Databases icon

Databases


SQL / NoSQL / Hadoop / Redis / MongoDB / InfluxDB / ElasticSearch / Kafka / Splunk / Datadog

ML & AI Frameworks

Frameworks


Docker / Kubernetes / Airflow / Tableau / Django / Flask

ML Platforms

Cloud Platforms


Amazon Web Services (AWS) / Google Cloud Platform (GCP) / Microsoft Azure

Web development

Frontend


HTML / CSS / Javascript / ReactJS / NodeJS / Bootstrap / VueJS

Testimonials

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Get In Touch

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