Professional Experiences

Jr. AI Engineer, NITEX (Dec 2023 – July 2024)

Automated Fashion Attributes Tagging:
- Developed a pipeline to automatically download images from Instagram and tag clothing categories and attributes using multi-modal AI models.
- Deployed the solution using Nvidia Triton and FastAPI.
- Leveraged tools such as OpenAI APIs, deepseek-vl, Docker, PostgreSQL, and Elasticsearch for efficient processing.
Automated Data Extraction from PDFs:
- Created a service to extract specific data from PDFs into JSON format, testing and integrating OCR APIs like Azure Doc Intelligence, Google Cloud Vision API, Amazon Textract, and Tesseract OCR.
- Containerized the service and deployed it on AWS ECS, Fargate, and Lambda for scalability and flexibility.
- Used technologies like Docker, Playwright, and Streamlit to streamline the deployment and user interaction.
Technologies: Nvidia Triton, deepseek-vl, OpenAI APIs, Docker, PostgreSQL, Elasticsearch, FastAPI, Streamlit, AWS ECS, Fargate, Lambda, Azure Doc Intelligence, Google Cloud Vision API, Amazon Textract, Tesseract OCR, instaloader, Playwright.

Implemented the Swin Video Transformer models using TensorFlow
Converted the weights from PyTorch to TensorFlow 2 and uploaded them to TensorFlow Hub
Created notebooks demonstrating how to fine-tune the models

Created dialogue graphs from MultiWOZ dataset using tf-idf, topic modeling, xmeans, dbscan etc.