Jan 2024 – Sep 2024 · 8 mos · Noida, Uttar Pradesh, India · On-site

• 1. Vision AI for Smart Oven: Part of the Device Intelligence Group, developing Vision AI features for a smart oven, including food burn prevention, cooking state detection, and utensil material classification for safety.
• 2. Food Recognition Model Upgradation & Field Data Analysis: Led the enhancement of the food recognition model by adding new classes and analyzing field data to identify performance gaps. Used insights from data analysis to improve model accuracy and robustness.
• 3. Image Annotations & Portal Development: Annotated over 50,000 images and created a testing dataset. Developed a food annotation portal using U-Net for feature extraction, clustering images with kNN, and built the portal using Flask and HTML, significantly improving annotation speed.
• 4. Image Matching Algorithm: Designed and deployed an online clustering algorithm for image matching on the device using kNN, k-means, SQL, and object-oriented programming.
• 5. Research on Multi-Token Prediction: Contributed to research on multi-token prediction for large language models.
• 6. GenAI Model Testing: Assisted the GenAI team in stress testing their models to evaluate performance under load.
• 7. Team Skill Upgradation: Conducted sessions on prompt engineering and large language models (LLMs) for over 50 senior engineers, ensuring the team stays up-to-date with emerging technologies.
• 8. Ideathon, Hackathon & Patent Ideation: Actively participated in company-wide ideations, hackathons, and the patent ideation process, with one of my patent ideas being selected for further processing.

Aug 2023 – Dec 2023 · 4 mos · Chennai, Tamil Nadu, India · Remote

• 1. ML Forecasting of Operational Metrics: Utilizing machine learning for enhancing decision-making by providing accurate predictions using Python & ML frameworks such as sklearn, tensorflow, etc.
• 2. Ad-Hoc Reporting: Real-time, customized data analysis, empowering organizations to swiftly address unique informational needs and make informed decisions on the fly using Data Manipulation Libraries such as Pandas & Numpy.
• 3. Codebase Optimization: Refining and enhancing software source code based on Python to improve performance, reduce redundancy, and ensure efficient resource utilization for a more streamlined and scalable application.

Jan 2023 – Jul 2023 · 6 mos · Remote

• 1. Profile Link:- https://www.tutorialspoint.com/authors/premansh-sharma
• 2. Published Articles: Authored 75 articles on Artificial Intelligence and Machine Learning, covering a wide range of topics in the field.
• 3. Engagement: Accumulated over 130k views across my articles, reaching a broad audience and contributing to the knowledge-sharing community.

Jan 2023 – Mar 2023 · 2 mos · India · Remote

• Work on Neural Radiance Field (NeRF): Contributed to the development of Neural Radiance Field (NeRF) to generate 3D models from 2D video inputs. Assisted in testing and optimizing the model for accurate and efficient 3D reconstruction.

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

• 1. Worked on UAV Auto Pilot System and Automaton Mission Systems.
• 2. Developed an algorithm for image compression, a tool for scripting excel sheets in python, and Models for Auto Pilot System.

May 2022 – Jun 2022 · 1 mo

• Responsible for writing simple to understand and attractive articles on topics of Data Science.

Jul 2021 – Jul 2022 · 1 yr

• Responsible for improving and writing articles involving concepts of Data Structures, algorithms, and Machine Learning.