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I'm Shilpa Kuppili, an AI/ML Engineer with 5+ years of experience designing, building, and deploying machine learning models to solve real-world problems. I work across supervised and unsupervised learning, natural language processing, and deep learning, with a solid foundation in Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP. I strive to deliver production-ready ML solutions that automate workflows, improve decision-making, and align with business goals. In my roles, I focus on scalable deployment, explainable AI, and multi-agent automation. I enjoy turning complex data into actionable insights and building systems that reduce errors and latency while controlling costs. I thrive in cross-functional teams and love translating business needs into robust, maintainable ML solutions.…I'm Shilpa Kuppili, an AI/ML Engineer with 5+ years of experience designing, building, and deploying machine learning models to solve real-world problems. I work across supervised and unsupervised learning, natural language processing, and deep learning, with a solid foundation in Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP. I strive to deliver production-ready ML solutions that automate workflows, improve decision-making, and align with business goals. In my roles, I focus on scalable deployment, explainable AI, and multi-agent automation. I enjoy turning complex data into actionable insights and building systems that reduce errors and latency while controlling costs. I thrive in cross-functional teams and love translating business needs into robust, maintainable ML solutions.

Shilpa Kuppili

AI Engineer, Data Scientist, Full Stack Developer, +5

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I'm Shilpa Kuppili, an AI/ML Engineer with 5+ years of experience designing, building, and deploying machine learning models to solve real-world problems. I work across supervised and unsupervised learning, natural language processing, and deep learning, with a solid foundation in Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP. I strive to deliver production-ready ML solutions that automate workflows, improve decision-making, and align with business goals. In my roles, I focus on scalable deployment, explainable AI, and multi-agent automation. I enjoy turning complex data into actionable insights and building systems that reduce errors and latency while controlling costs. I thrive in cross-functional teams and love translating business needs into robust, maintainable ML solutions.…I'm Shilpa Kuppili, an AI/ML Engineer with 5+ years of experience designing, building, and deploying machine learning models to solve real-world problems. I work across supervised and unsupervised learning, natural language processing, and deep learning, with a solid foundation in Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP. I strive to deliver production-ready ML solutions that automate workflows, improve decision-making, and align with business goals. In my roles, I focus on scalable deployment, explainable AI, and multi-agent automation. I enjoy turning complex data into actionable insights and building systems that reduce errors and latency while controlling costs. I thrive in cross-functional teams and love translating business needs into robust, maintainable ML solutions.

Available to hire

I’m Shilpa Kuppili, an AI/ML Engineer with 5+ years of experience designing, building, and deploying machine learning models to solve real-world problems. I work across supervised and unsupervised learning, natural language processing, and deep learning, with a solid foundation in Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP. I strive to deliver production-ready ML solutions that automate workflows, improve decision-making, and align with business goals.

In my roles, I focus on scalable deployment, explainable AI, and multi-agent automation. I enjoy turning complex data into actionable insights and building systems that reduce errors and latency while controlling costs. I thrive in cross-functional teams and love translating business needs into robust, maintainable ML solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Humana

August 1, 2025 - November 5, 2025

Engineered machine learning models using scikit-learn, XGBoost, and TensorFlow to identify high-risk individuals for chronic conditions, achieving a 22% improvement in early intervention accuracy across Medicare Advantage plans. Built NLP pipelines with Hugging Face Transformers and spaCy to extract diagnoses, medications, and symptoms from unstructured physician notes, enabling downstream analytics for personalized patient care. Fine-tuned domain-specific LLMs to automate clinical summaries and insurance claims reviews, reducing manual processing time by 40% and improving audit consistency. Implemented end-to-end MLOps pipelines with MLflow for experiment tracking, DVC for dataset versioning, and Jenkins for automated retraining to ensure reproducibility and HIPAA governance. Monitored production models with FastAPI and TensorFlow Serving on AWS SageMaker, enabling scalable CI/CD via GitHub Actions and real-time decision support tools.

AI Full Stack Developer at Thoughti

August 1, 2025 - August 1, 2025

Developed an AI-powered chatbot on Microsoft Azure using Copilot Studio and Bot Framework to deliver personalized behavioral health support, reducing dropout by 25%. Trained CLU and CQA models in Azure AI Language Studio to classify user intent across five behavioral stages, improving interaction relevance by 40%. Streamlined the AI model lifecycle and secured data workflows using Azure Foundry, cutting deployment time by 30%. Designed reusable prompt templates and chaining logic to align chatbot dialogue with user behavioral stages, enhancing coherence. Orchestrated dynamic multi-step conversations in Copilot Studio and integrated 3+ external APIs for personalized response. Built language understanding pipelines to detect substance use indicators with 87% precision. Developed a five-phase agent framework using Autogen and RAG for automated document analysis, improving accuracy and speed by 50%.

ML Intern at TechComb

December 1, 2024 - December 1, 2024

Engineered and implemented an LLM integrated bird detection and classification system using YOLOv8 for real-time bird localization and EfficientNet B0 for precise species identification. Pioneered LLM-based GPT-2 to provide detailed species-specific deterrent strategies. Integrated Gradio and optimized the end-to-end pipeline, reducing inference time by 25%.

AI/ML Intern at ZSAnalytics

August 1, 2024 - August 1, 2024

Built a Custom GPT Model and fine-tuned transformer-based language models on enterprise call transcript data to extract relevant knowledge and summarize the transcript. Implemented a Mistral LLM Chatbot for varied NLP tasks to generate coherent and contextually relevant information.

Senior Software Engineer at Motherson Technology Services Limited

August 1, 2023 - August 1, 2023

Applied recursive feature selection techniques for document understanding using LLM-based prompts. Developed an AI-powered document classification model, automating the categorization of records with an accuracy of 92% using a combination of CNN and LSTM architectures.

Software Engineer at Tata Consultancy Services

June 1, 2022 - June 1, 2022

Created a conversational AI chatbot for financial advice, reducing customer query response time by 15%. Designed an image classification pipeline using pre-trained ResNet50 model to categorize fashion products into various styles, increasing product-recommendation accuracy by 30%.

AI/ML Engineer at Ola Digital Health

January 1, 2026 - Present

Reduced health insurance claim rejections by 25% by deploying a denial prediction platform that scored claims with denial codes and explainable reasons using LLM-based inference pipelines and structured claim data. Improved automation efficiency by 35% through a multi-agent document analysis system coordinating autonomous evaluators with Microsoft AutoGen and Retrieval-Augmented Generation (RAG). Enabled enterprise-grade conversational automation by integrating Copilot Studio agents with Azure Foundry and Power Automate flows for contextual, system-aware responses. Minimized hallucinations by enforcing deterministic agent behavior via structured system instructions and reusable prompt templates.

Senior Software Engineer at Motherson Technology Services Limited

June 1, 2022 - August 1, 2023

Improved document understanding accuracy by applying recursive feature selection within LLM-driven prompt engineering workflows. Achieved 92% classification accuracy for an AI-based document categorization system using CNN-LSTM hybrids. Enhanced data pipeline performance by 28% through optimized Python ingestion/training workflows using multiprocessing and NumPy vectorization.

Software Engineer at Tata Consultancy Services

December 1, 2018 - June 1, 2022

Reduced customer query response time by 15% by building a conversational AI chatbot delivering real-time financial guidance using NLP-driven dialogue flows. Designed a churn-prediction model that reduced churn by 80% post-implementation.Developed backend automation scripts in Python to streamline data preprocessing and model deployment workflows, improving delivery speed and reproducibility across ML pipelines.