Rahul Parundekar work email
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I'm passionate about building Artificial Intelligence (A.I.) solutions for improving the Human Experience.Machine Learning, Deep Learning, and Artificial Intelligence Leadership:• Tech Leadership: Leading design and building of ML training and serving architectures, including on-device and in-cloud offerings.• Project Leadership: Leading projects with clear business objectives and leading teams to build A.I. solutions to achieve them.• Product Leadership: UX-focused rapid development and iteration of A.I. solutions with validation using Lean Startup method.• Other: Strategy & planning, thought leadership (blogs, talks, etc.), customer discussions, mentoring, innovation, hiring, etc.Machine Learning, Deep Learning, and Artificial Intelligence Individual Contribution:• Deep Learning: Computer Vision using CNNs, NLP using RNNs, Regression using ensemble methods, Keras.• Engineering: Docker, Microservices, Message Queues, CI/CD pipelines, Ambassador, Identity, etc.• Traditional Machine Learning: Supervised and unsupervised Learning, scikit-learn (Python), Data Science.• Assistant Technologies: Situation understanding, Proactiveness, Personalization / p13n, Conversational A.I.• GOFAI: Knowledge Representation and Reasoning, Semantic Web, Graph KBs, Predictive Inferences.• Research: Research Publications, Patents, UX, Prototyping, Problem Solving, CommunicationPapers & Patents: https://scholar.google.com/citations?user=mIIXgA4AAAAJ&hl=enA.I. Philosophy: As A.I. becomes more commonplace, providing increasing levels of automation, we need to build intelligent systems that work together with humans and elevate their roles to greater achievement.
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FounderA.I. Hero, Inc.San Francisco, Ca, Us -
Principal Mlops Engineer/ArchitectTribe Ai Oct 2022 - PresentBrooklyn, Ny, Us -
FounderA.I. Hero, Inc. Nov 2021 - PresentDemocratizing AI by creating a data-centric, no-code solution for building models that automate visual tasks. Try it out at https://aihero.studio -
Principal ConsultantElevate Human Experiences, Llc. Jul 2017 - PresentBuilding Artificial Intelligence (A.I.) solutions for improving the Human Experience. Consulting, Advising, Mentoring, Educating, and Investing in people and solutions for making life better.- Reviewed the ML Architecture and proposed changes to an NLP batch processing pipeline for a Medical AI company to improve operational efficiency and delivery speed.- Re-engineered the AWS Sagemaker model serving architecture for a Generative AI Marketing company to standardize models to async, save costs by scaling to zero, and improve velocity of delivering new models.
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Principal Mlops Engineer ArchitectGrindr Jun 2024 - Oct 2024Los Angeles, California, UsContracted via TribeAI. Helped Grindr identify their technical roadmap for the infrastructure powering the development of Generative AI and MLOps platform for building their "Wingman" initiative and other recommendation initiatives. Designed and implemented a secure, scalable MLOps and GenAI development platform on SageMaker and EKS, enabling Grindr to accelerate the development of its AI Wingman assistant and other recommendation-driven agent features. (https://www.wsj.com/articles/grindr-aims-to-build-the-dating-worlds-first-ai-wingman-8039e091).Working via TribeAI - TribeAI is a modern consultancy that specializes in AI, data, and machine learning.We help organizations of all sizes leverage the power of artificial intelligence. -
Infrastructure ArchitectLlamaindex Jan 2024 - Jul 2024San Francisco, California, UsHelped architect and implement the Kubernetes infrastructure for LlamaCloud Platform and LlamaParse PDF parsing services. -
Member Of Technical StaffAdept Feb 2023 - Nov 2023San Francisco, Ca, Us- Evaluated architectures for running containerized workloads unifying different requirements. - LLMOps: Migrated workloads for training, fine-tuning, evaluation, devboxes, CI/CD, and inference services to Kubernetes from SLURM.- Built the self-serve platform for data scientists so that they could launch complex workflows for running fine-tuning and eval experiments. - Built the self-serve platform for engineers to stage and deploy services on Kubernetes.https://www.youtube.com/watch?v=zFarTo1nVfgWorking via TribeAI - is a modern consultancy that specializes in AI, data, and machine learning.We help organizations of all sizes leverage the power of artificial intelligence. -
AdvisorDreamteam Labs Jan 2021 - Nov 2022Advice on ML Ops strategy for various projects. -
Director, Data ScienceAppen Jan 2021 - Oct 2021Kirkland, Washington, Us -
Senior Manager, Data ScienceAppen Jan 2020 - Dec 2020Kirkland, Washington, Us -
Tech Lead, Ml Engineering (At Figure Eight)Appen Aug 2018 - Dec 2019Kirkland, Washington, Us• Led the design and development of a scalable ML model serving architecture optimized for real-time inferences powering ML-assisted annotation tools with demonstrated serving volume of about one million predictions a month and 0.03% server errors.• Optimized operations and established engineering best-practices for deploying 16 ML models in production by standardizing the containerization of models built in Keras, Tensorflow, Pytorch, NLP, Tesseract, etc. to achieve a deployment time of 3-5 days.• Led technical discussions with customers and delivered deployment-ready prediction pipelines with multiple Computer Vision models with complex pipelines, inputs and outputs, and improved accuracies by 10% by reframing the ML problem.• Cross-functional leadership in getting models to power ML-assisted annotation tools working closely with Product, Engineering and DevOps. Also leading integration efforts for migrating models from Appen to the Figure Eight platform.• Built architecture for hosting and serving ML models and the allied services that perform OCR, NLP, Image classification, object detection, on-the-fly text and image transformation using Docker containers, caching, logging, etc., integration with a CI/CD pipeline.• Rapid prototyping and delivery of multi-stage Computer Vision ML pipelines for solving real-world business problems. -
Senior ResearcherToyota Infotechnology Center Apr 2014 - Jun 2017• Developed real-time A.I. solutions (situation understanding, p13n, proactiveness) using Ontologies and Machine Learning to support an in-car conversational A.I. assistant and filed over 12 patent (7 granted).• Created end-to-end proof-of-concept prototypes for above technologies integrated with partner solutions for Speech Recognition, Natural Language Understanding, Natural Language Generation, Text-to-speech and in-house proactive dialog management to run real-time in-car demos.• Conducted in-car UX studies to design the conversational experience as well as to define requirements for multi-modal interaction, Computer Vision, Ontologies, etc. and evaluated implemented prototypes.• Led groups of up to 6 researchers, contractors, engineers, interns, and external collaborators on multiple projects to successfully transfer multi-million dollar projects to next-gen car development team in Japan. -
ResearcherToyota Infotechnology Center Jan 2012 - Mar 2014Artificial Intelligence Researcher working on Personalization and Recommendation of content consumed in the car (e.g. Places of Intrest, Ads, etc.) using Ontology, Machine Learning, etc. in order to improve the in-car UX. -
Contract ResearcherToyota Infotechnology Center Jul 2010 - Dec 2011Worked on Personalization using Ontology. -
Student ResearcherInformation Sciences Institute May 2009 - May 2010Marina Del Rey, California, UsStudent Researcher at the Information Integration Research Group.• Investigated approaches for Information Integration in Linked Data and the Semantic Web and submitted about 4 papers.• Identified novel approach to aligning ontologies of Linked Data that automatically generated new conceptdefinitions that won Best Paper Award in the research track at International Semantic Web Conference 2012. -
Student ProgrammerUsc Norris Comprehensive Cancer Center- Informatics Oct 2008 - May 2009Los Angeles, Ca, UsVB.Net programmer. Designed forms, data connections with back end MSSQL database. -
Lecturer, Computer Engineering DepartmentVishwakarma Institute Of Technology, Pune Feb 2008 - Jun 2008Pune, Maharashtra, InConducted OOP/CG lab sessions for second year students. Conducted Java lab sessions for third year students. -
Contract ResearcherProdigy Labs Pvt. Ltd. Jan 2008 - Jun 2008Bangalore, Karnataka, InSystem design and web development, Peoplepedia Project.Exploratory Research on Reputation Networks with Praphul Chandra and Shekhar Borgaonkar -
Research InternHewlett-Packard Labs Jun 2007 - Jan 2008Houston, Texas, UsResearch Intern exploring the Semantic Web, Social Semantic Web and Web 2.0
Rahul Parundekar Skills
Rahul Parundekar Education Details
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University Of Southern CaliforniaComputer Science -
UdacityArtificial Intelligence -
UdacityArtificial Intelligence -
Savitribai Phule Pune UniversityComputer Engineering
Frequently Asked Questions about Rahul Parundekar
What company does Rahul Parundekar work for?
Rahul Parundekar works for A.i. Hero, Inc.
What is Rahul Parundekar's role at the current company?
Rahul Parundekar's current role is Founder.
What is Rahul Parundekar's email address?
Rahul Parundekar's email address is rp****@****ail.com
What schools did Rahul Parundekar attend?
Rahul Parundekar attended University Of Southern California, Udacity, Udacity, Savitribai Phule Pune University.
What are some of Rahul Parundekar's interests?
Rahul Parundekar has interest in B2b, Automotive.
What skills is Rahul Parundekar known for?
Rahul Parundekar has skills like Artificial Intelligence, Semantic Web, Java, Owl, Rdf, Machine Learning, Research, Computer Science, Algorithms, Knowledge Representation, Linked Data, Python.
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