Mani Kant Pandey

AI Researcher

Noida, Uttar Pradesh, India2 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Led transformative ML workshops at Microsoft Learn.
Developed autonomous drones using deep learning techniques.
Mentored future ML professionals through hands-on projects.

Stackforce AI infers this person is a Machine Learning Specialist with a focus on educational outreach and practical applications.

Contact

Skills

Core Skills

Machine LearningTeam LeadershipMentorship

Other Skills

Agile Application DevelopmentAlgorithm DesignAlgorithmsAmazon Web Services (AWS)Analytical SkillsApplied Machine LearningBig DataC (Programming Language)CI CDCloud ComputingComputer ScienceComputer VisionData AnalysisData PipelinesData Visualization

About

Currently spearheading machine learning initiatives at NusterAI, I leverage my academic insights from Gautam Buddha University's BTech program, specializing in Machine Learning, to innovate in text-to-speech and large language model applications. This hands-on experience complements my theoretical knowledge, enabling the development of cutting-edge agile applications. As the Machine Learning Team Lead with Microsoft Learn Student Ambassador, our team's outreach has been transformative, guiding students through workshops and hackathons. We foster an environment where skills in Python, TensorFlow, and computer vision flourish, contributing to the growth of future ML professionals and advancing the field's frontiers.

Experience

Nusterai

ML Intern

Dec 2024 – Present · 1 yr 3 mos · Remote

Microsoft learn student ambassador- gbu(mlsa - gbu)

Machine Learning Team Lead

Feb 2024 – Present · 2 yrs 1 mo · Gautam Buddha Nagar, Uttar Pradesh, India

Python (Programming Language)TensorFlowComputer VisionMachine LearningTeam Leadership

Gdsc- gautam buddha university

Core Team Member

Aug 2022 – Apr 2023 · 8 mos · Greater Noida · On-site

As a machine learning core team member in GDSC Gautam Buddha University, I have been involved in various projects and activities that aim to promote and enhance the skills and knowledge of students in the field of data science. Some of the work that I have done include:
Developing and delivering workshops and webinars on topics such as Python, TensorFlow, computer vision, natural language processing, and deep learning.
Mentoring and guiding students who are interested in pursuing machine learning as a career or a hobby and providing them with resources and feedback.
Collaborating with other GDSC core team members and external partners to organize events and competitions that challenge and inspire students to apply their machine learning skills to real-world problems.
Conducting research and experiments on machine learning models and techniques, and sharing the results and insights with the GDSC community and beyond.
Through these work experiences, I have learned a lot about machine learning and its applications, as well as improved my communication, leadership, and teamwork skills. I am grateful for the opportunity to be part of GDSC Gautam Buddha University, and I look forward to continuing my work as a machine learning core team member.

Python (Programming Language)TensorFlowDeep LearningNatural Language ProcessingMachine LearningMentorship

Stpi - noida

Incubation

Aug 2022 – Nov 2022 · 3 mos · Noida, Uttar Pradesh, India · Hybrid

I am happy to announce that our company has been selected for incubation at the Software Technology Parks of India (STPI) Noida. This is a great opportunity for us to access state-of-the-art infrastructure, mentoring, networking, and funding support from STPI. We are looking forward to working with STPI Noida and other incubated startups to develop innovative solutions for the market. I would like to thank our team, our customers, and our partners for their trust and support in our journey so far.

Omnipresent robot tech

Machine Learning Intern

Jul 2022 – Aug 2022 · 1 mo · Gautam Buddha Nagar, Uttar Pradesh, India · On-site

During the internship I worked on a project to create Autonomous Warehouse Drones. The project was divided into mainly 3 parts:
1. Construction of the map of the drone's unknown environment
2. Object Detection
3. Automation using Deep Reinforcement Learning

Deep Reinforcement LearningObject DetectionMachine Learning