AI Architect with over 4.5 years of experience in delivering scalable data-driven solutions into production.
Hello! I'm Mohit Kumar, an AI Architect with over 4.5 years of experience in delivering scalable data-driven solutions into production. I specialize in Machine Learning, Data Science, Deep Learning, Computer Vision, NLP (LLMs), and MLOps & DevOps.
I intend to be a part of an organization where I can constantly develop my skills and use them to the best of my ability for the organization's growth. With a strong foundation in both technical and practical aspects of ML engineering, I approach each project with creativity and technical precision.
Indira Gandhi National Open University
July 2022 – July 2024
Delhi Technical Campus
Aug 2017 – May 2021
The project aimed at delivering a scalable solution for sensitive data recognition in enterprise data. Application also has the capability of custom model training and in-memory loading in python multiprocess. The spaCy large model was used and served through FastAPI using LFU Cache.
Server withstood 3000 requests in 5 minutes in performance test with an average response time of 800ms.
The project aimed at obtaining high-resolution images from low-resolution images using end-to-end mapping. Implemented Image Super-Resolution Using Deep Convolutional Networks research paper (2014).
Designed SRCNN architecture with Feature extractor, non-linear mapping, reconstruction as components. Evaluated model results using PSNR, SSIM, and MSE as image quality metrics & obtained precise results.
The project aimed at delivering a solution for detecting semantic similarity in enterprise data. Universal Sentence Encoder was used and served through TensorFlow Serving for text embeddings.
The cosine similarity metric was used for the text similarity search between the embedding vectors. Application withstood 6000 requests in 5 minutes in performance test with an average response time of 160ms.
I share my technical knowledge and insights on Medium. Check out some of my popular articles:
Learn how to efficiently deploy and scale Large Language Models using the vLLM library.
A step-by-step guide to deploying machine learning models in a production environment.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Feel free to reach out through any of the channels below.
krmohit101@gmail.com
Available upon request