Prashant Upadhyay Email & Phone Number

India

Noida, Uttar Pradesh, India

As a Machine Learning Engineer, I am responsible for developing and deploying applications driven by advanced large language models (LLMs), leveraging the latest best practices to build real-life products and POCs. Alongside, I am also working on a state government big data project, utilizing Hadoop, Hive, Spark, and Airflow to create dashboards and.

I've led the end-to-end creation of a sophisticated application, seamlessly integrating cutting-edge technologies in computer vision, using YOLOv8, PyTorch, Keras, Autoencoders etc.. This project exemplifies my ability to harness diverse tools to deliver impactful solutions in the realm of AI and computer vision.

As a software engineer, I specialize in designing, developing and implementing complex deep-learning models for computer vision. With expertise in TensorFlow, PyTorch, and other deep learning tools, I have experience training models on large datasets and optimizing existing face recognition frameworks. My experience also includes computer vision techniques.

1. Writing code in Python, Tensorflow/Keras projects related to CNN and RNN for the Hospitality or Financial domain 2. Used Jupyter/Collab notebooks for Machine Learning / Deep Learning problems

Chennai, Tamil Nadu, India

The significant tasks I performed through this opportunity are as follows:1. Web Scraping using Python.2. EDA on real-time data.3. Implementing the "GPT2 model" for autogenerating text.4. Handling Large Real-world Datasets.5. Creating.exe files from Python scripting.6. Perform Visualizations using Seaborn and Matplotlib.

1. Worked with the WordPress-based website's back-end to ensure a smooth and consistent user experience. 2. Performed basic SEO to ensure that the website's content is indexed by all search engines.

Gurugram Haryana, India

1. Prepared weekly reports on recruiting activities, candidate placements and job openings2. Maintained databases of potential candidates and current open positions3. Conducted and documented phone and in-person interviews.4. Responsible for screening, interviewing and recommending placement of candidates5. Utilized Boolean search techniques to identify.

Bachelor'S Degree, Computer Science

Education record