RSRatna Sambhav
@ratnasambhav
ML | AI | AWS | Python
Bangalore
Ratna Sambhav is an AI/ML specialist with 3 years of experience in ML/AI and 1 year focusing on LLMs. He specializes in end-to-end LLM and deep learning application development. He is a solution-oriented problem solver, skilled in NLP, deep learning frameworks (PyTorch/TensorFlow), and MLOps deployment.
Experience
Associate Software Engineer
Accure Inc.
Lead the development of a Retrieval Augmented Generation chatbot (SecureGPT), enhancing the functionality of the company's AI platform. Worked on projects related to Natural Language Processing, Semantic Segmentation, Time-series analysis, classification and anomaly detection using tools like Huggingface, Langchain, scikit-learn, torch, tensorflow, autokeras, etc. and deployed them on company’s MLOps platform. Worked with devops team to deploy an end-to-end solution for detecting mismatch between invoice and delivery notes, requiring table detection and extraction from image documents using ML models and calculating mismatch using SQL for a US based client.
Backend AI Developer
Karmaa Labs.
Development of AWS Lambda based serverless REST-API for NLP based recommendation system for finding matching candidates for a job and vice-versa with Aws RDS MySQL as the database and python as language. Built an automated system to scrape recent job posts, increasing efficiency and speed for the project.
Project Assistant
Joint Advanced Technology Center, IIT Delhi
Worked on Machine Learning modeling and implemented a deep learning-based strategy to predict the biological joint force from kinematics data of human joints. Used in designing an accurate controller for the exosuit. Successfully accomplished the Proof-of-Concept phase securing funding from DRDO for building a full prototype for the Indian army.
Engineer
Endoenergy Systems Pvt. ltd.
Implemented Machine Learning techniques and GANs to generate synthetic motion capture data of knee joint for simulation purposes.
Licenses & Certifications
AWS Certified Machine Learning Specialty
AWS