Jaz Panesar

Jaz Panesar Email and Phone Number

AI Model Trainer, Computer Vision Specialist, Former Teacher @ Sensing Feeling
london, london, united kingdom
Jaz Panesar's Location
London, England, United Kingdom, United Kingdom
Jaz Panesar's Contact Details

Jaz Panesar work email

Jaz Panesar personal email

n/a
About Jaz Panesar

Dedicated and accomplished AI model trainer with a strong background in education and 20 years of experience as a qualified teacher. Expertise in training Computer Vision models for diverse applications. Leveraging my instructional skills and deep understanding of learning methodologies to enhance the accuracy and efficiency of AI systems. Committed to driving innovation and advancing the field of Computer Vision through the integration of educational principles.I have a committed and reflective approach to work resulting in excellent management and procedural capability. Having worked extensively with students in the educational sector, including those with special needs, autism, and visual impairments, I have demonstrated a dedication to equality, diversity and excellence in teaching and learning, and have been applying these core principles to the development of state of the art technologies in the field of AI Deep Learning and Computer Vision models.These challenges and the values that underpin them have inspired a strong commitment to my own professional development and the development of others, as well as creating lasting relationships between multiple stakeholders.

Jaz Panesar's Current Company Details
Sensing Feeling

Sensing Feeling

View
AI Model Trainer, Computer Vision Specialist, Former Teacher
london, london, united kingdom
Employees:
7
Jaz Panesar Work Experience Details
  • Sensing Feeling
    Head Of Ai Data Modelling
    Sensing Feeling Dec 2020 - Present
    London, England, United Kingdom
    Developing and implement training programs for advanced Computer Vision models, specialising in safety, risk management and wellbeing of users, workers and assets in safety-critical environments.Applying instructional design principles to create effective and engaging training materials for AI model development by utilising my expertise in pedagogy and instructional strategies to tailor training approaches that optimise learning outcomes for both developers and end-users.Collaborating with cross-functional internal and client teams to identify and address model training challenges, resulting in improved accuracy and performance.My experience as a teacher of young students in the early years brings several valuable skills and perspectives to training deep learning models:Patience and Adaptability: Every learner is unique and may require different approaches to grasp concepts effectively. I apply this mindset to training Deep Learning models, where challenges or variations in data are manifest. My ability to adapt and iterate training strategies helps improve model performance.Pedagogical Expertise: As an early years teacher, I have a deep understanding of pedagogical principles and instructional strategies. I break down complex concepts into manageable parts and design engaging activities to facilitate learning. This knowledge is applied to developing training programs and materials for AI Deep Learning models, making the training process more effective and accessible.Data Annotation and Curation: In early childhood education, it is critical to assess and evaluate student progress. This experience is valuable in the context of Deep Learning, where data annotation and curation are crucial for training accurate models.My understanding of pedagogy, adaptability, communication skills, and data annotation expertise contributes to more effective training strategies, improved model performance, and the ethical development of AI systems.
  • Roe Green Infant School
    Teacher
    Roe Green Infant School Apr 2003 - Dec 2020
    London, England, United Kingdom
    Throughout my seventeen-year teaching career I have gained extensive skills in teaching a wide range of year groups as class teacher, PPA cover, and have also taught Art in the Creative Curriculum. Through these roles I have seen the impact that my experience within teaching has had on my ability to assess and report on a range of issues.I've taught several classes of mixed age students and created high quality teaching materials that support and challenge the needs of all across a range of year groups and key stages. I've gained experience of and adapted to the relevant frameworks for each, both in the classroom and in simpler aspects, such as health and safety legislation. Responsibility for creating, adapting and implementing a range of policies and schemes of work (programmes of study) required managing various teams and strong organisational and diplomatic skills. I've received consistent recognition for my outstanding performance, demonstrating that I've achieved a level of excellence in this area.I've also undertaken regular professional training to ensure that I can offer an exceptional learning experience to all of my students. I have also planned and delivered additional maths booster sessions to pupils in both primary and secondary education.Summary:• Experienced school teacher of all subjects in EYFS, KS1 & KS2. • Head of Art Faculty: planning, organising and delivering a whole school creative curriculum including large scale collaborative arts projects. • Providing personal booster and 1:1 support in maths and English• Successful personal coach to healthcare professionals looking to pass the OET which is a recognised assessment used in validating registration in the UK.

Jaz Panesar Education Details

Frequently Asked Questions about Jaz Panesar

What company does Jaz Panesar work for?

Jaz Panesar works for Sensing Feeling

What is Jaz Panesar's role at the current company?

Jaz Panesar's current role is AI Model Trainer, Computer Vision Specialist, Former Teacher.

What is Jaz Panesar's email address?

Jaz Panesar's email address is ja****@****ing.com

What schools did Jaz Panesar attend?

Jaz Panesar attended University Of Greenwich.

Who are Jaz Panesar's colleagues?

Jaz Panesar's colleagues are Andrew Stevens, Anisha Lad.

Not the Jaz Panesar you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.