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Ratna SambhavRS

Ratna Sambhav

@ratnasambhav

ML | AI | AWS | Python

Bangalore

Accure Inc.

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.

Apr 2023 - PresentBangalore

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.

Aug 2022 - Sep 2022Bangalore

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

Jan 2020 - Jun 2021New 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.

Jul 2019 - Nov 2019Chandigarh

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

• No expiration

Skills

Python
SQL
Airflow
pySpark
PostgreSQL
mongodb
Scikit-learn
tensorflow/pytorch
HuggingFace
LlamaIndex
PEFT
Quantization
RAG
FastAPI
Django
Linux
git
Docker
aws