Rahul Parundekar

Rahul Parundekar Email and Phone Number

Founder @ A.I. Hero, Inc.
San Francisco, CA, US
Rahul Parundekar's Location
San Francisco, California, United States, United States
Rahul Parundekar's Contact Details

Rahul Parundekar work email

Rahul Parundekar personal email

About Rahul Parundekar

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.

Rahul Parundekar's Current Company Details
A.I. Hero, Inc.

A.I. Hero, Inc.

View
Founder
San Francisco, CA, US
Website:
aihero.studio
Employees:
5
Rahul Parundekar Work Experience Details
  • A.I. Hero, Inc.
    Founder
    A.I. Hero, Inc.
    San Francisco, Ca, Us
  • Tribe Ai
    Principal Mlops Engineer/Architect
    Tribe Ai Oct 2022 - Present
    Brooklyn, Ny, Us
  • A.I. Hero, Inc.
    Founder
    A.I. Hero, Inc. Nov 2021 - Present
    Democratizing AI by creating a data-centric, no-code solution for building models that automate visual tasks. Try it out at https://aihero.studio
  • Elevate Human Experiences, Llc.
    Principal Consultant
    Elevate Human Experiences, Llc. Jul 2017 - Present
    Building 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.
  • Grindr
    Principal Mlops Engineer Architect
    Grindr Jun 2024 - Oct 2024
    Los Angeles, California, Us
    Contracted 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.
  • Llamaindex
    Infrastructure Architect
    Llamaindex Jan 2024 - Jul 2024
    San Francisco, California, Us
    Helped architect and implement the Kubernetes infrastructure for LlamaCloud Platform and LlamaParse PDF parsing services.
  • Adept
    Member Of Technical Staff
    Adept Feb 2023 - Nov 2023
    San 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.
  • Dreamteam Labs
    Advisor
    Dreamteam Labs Jan 2021 - Nov 2022
    Advice on ML Ops strategy for various projects.
  • Appen
    Director, Data Science
    Appen Jan 2021 - Oct 2021
    Kirkland, Washington, Us
  • Appen
    Senior Manager, Data Science
    Appen Jan 2020 - Dec 2020
    Kirkland, Washington, Us
  • Appen
    Tech Lead, Ml Engineering (At Figure Eight)
    Appen Aug 2018 - Dec 2019
    Kirkland, 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.
  • Toyota Infotechnology Center
    Senior Researcher
    Toyota 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.
  • Toyota Infotechnology Center
    Researcher
    Toyota Infotechnology Center Jan 2012 - Mar 2014
    Artificial 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.
  • Toyota Infotechnology Center
    Contract Researcher
    Toyota Infotechnology Center Jul 2010 - Dec 2011
    Worked on Personalization using Ontology.
  • Information Sciences Institute
    Student Researcher
    Information Sciences Institute May 2009 - May 2010
    Marina Del Rey, California, Us
    Student 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.
  • Usc Norris Comprehensive Cancer Center- Informatics
    Student Programmer
    Usc Norris Comprehensive Cancer Center- Informatics Oct 2008 - May 2009
    Los Angeles, Ca, Us
    VB.Net programmer. Designed forms, data connections with back end MSSQL database.
  • Vishwakarma Institute Of Technology, Pune
    Lecturer, Computer Engineering Department
    Vishwakarma Institute Of Technology, Pune Feb 2008 - Jun 2008
    Pune, Maharashtra, In
    Conducted OOP/CG lab sessions for second year students. Conducted Java lab sessions for third year students.
  • Prodigy Labs Pvt. Ltd.
    Contract Researcher
    Prodigy Labs Pvt. Ltd. Jan 2008 - Jun 2008
    Bangalore, Karnataka, In
    System design and web development, Peoplepedia Project.Exploratory Research on Reputation Networks with Praphul Chandra and Shekhar Borgaonkar
  • Hewlett-Packard Labs
    Research Intern
    Hewlett-Packard Labs Jun 2007 - Jan 2008
    Houston, Texas, Us
    Research Intern exploring the Semantic Web, Social Semantic Web and Web 2.0

Rahul Parundekar Skills

Artificial Intelligence Semantic Web Java Owl Rdf Machine Learning Research Computer Science Algorithms Knowledge Representation Linked Data Python Pattern Recognition System Design Programming Data Analysis Product Development Product Management Project Management Computer Vision Web Development Entrepreneurship Node.js Aws Lambda Keras Bootstrap Html5 Leadership Deep Learning Lean Startup Conversational Ai Ontologies Rdfs Data Science Project+ Artificial Neural Networks Neural Networks Nlp Start Ups Management Team Leadership Javascript

Rahul Parundekar Education Details

  • University Of Southern California
    University Of Southern California
    Computer Science
  • Udacity
    Udacity
    Artificial Intelligence
  • Udacity
    Udacity
    Artificial Intelligence
  • Savitribai Phule Pune University
    Savitribai Phule Pune University
    Computer 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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