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Hi, I'm Bharati Peddinti, an AI and Machine Learning Research Scientist specializing in NLP, deep learning, and medical AI. I have a strong passion for developing impactful healthcare models that improve clinician workflows and patient outcomes. My expertise lies in deploying production-grade AI models using PyTorch, TensorFlow, and foundation models, as well as advancing medical NLP and conversational AI systems. I enjoy translating complex research into practical solutions and have experience working with cloud platforms like AWS and Azure, computer vision, OCR, and generative AI. I am always eager to leverage my skills to create innovative AI-driven tools that make a difference in healthcare and other sectors.…Hi, I'm Bharati Peddinti, an AI and Machine Learning Research Scientist specializing in NLP, deep learning, and medical AI. I have a strong passion for developing impactful healthcare models that improve clinician workflows and patient outcomes. My expertise lies in deploying production-grade AI models using PyTorch, TensorFlow, and foundation models, as well as advancing medical NLP and conversational AI systems. I enjoy translating complex research into practical solutions and have experience working with cloud platforms like AWS and Azure, computer vision, OCR, and generative AI. I am always eager to leverage my skills to create innovative AI-driven tools that make a difference in healthcare and other sectors.

Bharati Peddinti

AI Engineer, Data Scientist, AI Developer, +2

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Hi, I'm Bharati Peddinti, an AI and Machine Learning Research Scientist specializing in NLP, deep learning, and medical AI. I have a strong passion for developing impactful healthcare models that improve clinician workflows and patient outcomes. My expertise lies in deploying production-grade AI models using PyTorch, TensorFlow, and foundation models, as well as advancing medical NLP and conversational AI systems. I enjoy translating complex research into practical solutions and have experience working with cloud platforms like AWS and Azure, computer vision, OCR, and generative AI. I am always eager to leverage my skills to create innovative AI-driven tools that make a difference in healthcare and other sectors.…Hi, I'm Bharati Peddinti, an AI and Machine Learning Research Scientist specializing in NLP, deep learning, and medical AI. I have a strong passion for developing impactful healthcare models that improve clinician workflows and patient outcomes. My expertise lies in deploying production-grade AI models using PyTorch, TensorFlow, and foundation models, as well as advancing medical NLP and conversational AI systems. I enjoy translating complex research into practical solutions and have experience working with cloud platforms like AWS and Azure, computer vision, OCR, and generative AI. I am always eager to leverage my skills to create innovative AI-driven tools that make a difference in healthcare and other sectors.

Available to hire

Hi, I’m Bharati Peddinti, an AI and Machine Learning Research Scientist specializing in NLP, deep learning, and medical AI. I have a strong passion for developing impactful healthcare models that improve clinician workflows and patient outcomes. My expertise lies in deploying production-grade AI models using PyTorch, TensorFlow, and foundation models, as well as advancing medical NLP and conversational AI systems.

I enjoy translating complex research into practical solutions and have experience working with cloud platforms like AWS and Azure, computer vision, OCR, and generative AI. I am always eager to leverage my skills to create innovative AI-driven tools that make a difference in healthcare and other sectors.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Armada IQ

January 1, 2025 - June 6, 2024

Developed end-to-end machine learning solutions including SQL integration for dynamic filtering and semantic similarity scoring to enhance candidate-job alignment. Engineered CI/CD pipelines incorporating LLMs for automated resume and job description processing. Implemented OCR and computer vision workflows to extract text from unstructured documents ensuring data quality. Created LangChain-powered conversational AI agents for event bookings, integrating APIs for seamless automation. Developed surgical video analysis pipelines using OpenCV and YOLOv8 with fine-tuned segmentation models on medical datasets. Worked on instance segmentation for residential imagery and real-time particle detection using OpenCV. Containerized AI models and deployed scalable microservices with Docker and Kubernetes. Automated MLOps pipelines in AWS SageMaker and delivered AI integration in enterprise applications with Flask, FastAPI, and Tableau visualizations.

Mortgage Data Science Intern at Flagstar Bank N.A

May 1, 2024 - August 31, 2024

Trained XGBoost models in AWS SageMaker to predict loan prepayment risks using feature engineering on financial and demographic data. Performed data cleaning, preprocessing, and exploratory analysis to improve data quality. Conducted SHAP and LIME interpretability to identify key drivers influencing model predictions. Applied Explainable AI techniques to validate models against legacy systems and meet regulatory requirements. Created interactive Power BI dashboards to visualize loan portfolio metrics aiding stakeholder decisions. Conducted comparative customer retention pattern analysis and collaborated cross-functionally to align strategies with business goals.

Data Analyst at Cognizant

December 1, 2020 - July 31, 2023

Led migration of Teradata SQL workflows to Google Cloud Platform, redesigning ETL pipelines for processing large-scale sales and inventory data. Optimized SQL queries and orchestrated workflows with Apache Airflow. Automated data validation and cleansing using Python across Teradata and GCP environments. Converted legacy SQL logic to Python ETL jobs for integration with serverless GCP architecture. Built scalable pipelines ingesting unstructured data from Kafka and Hadoop. Conducted data engineering using Hadoop, Spark, and Kafka enhancing data processing speed and reliability. Automated report generation integrating Python scripts with Power BI and Tableau, improving reporting efficiency and visualization.

Research Intern at Asriot Leo Tech. Pvt Ltd.

June 1, 2020 - July 31, 2020

Contributed to CNN-based frameworks for real-time COVID-19 detection integrating thermal imaging and symptom analysis. Developed preprocessing and augmentation pipelines for image datasets enhancing model robustness using OpenCV and Python. Trained and fine-tuned deep learning models with PyTorch and TensorFlow achieving state-of-the-art performance. Validated model outputs with clinical annotations. Published research findings in a peer-reviewed Elsevier journal detailing detection methodology and clinical implications. Conducted statistical analysis on model performance metrics to demonstrate improvements over traditional computer vision techniques.

Research Intern at IIT Roorkee

June 1, 2019 - August 31, 2019

Trained multimodal summarization models using PyTorch and TensorFlow to generate human-like feedback from image-text pairs aligning visual embeddings with text representations. Preprocessed and augmented social media datasets using Pandas and OpenCV. Conducted exploratory data analysis and visualized multimodal data features to guide model improvements. Developed synthesis models trained on large-scale datasets with ground-truth human comments for multimodal affective feedback systems.