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I am an AI/ML Engineer with over 3 years of experience in building and deploying scalable machine learning, causal inference, and large language model solutions across various domains such as healthcare, marketing, and enterprise. My expertise lies in designing production-ready NLP pipelines, retrieval-augmented generation systems, and real-time model APIs using cutting-edge technologies like Python, PyTorch, Hugging Face, and AWS. I enjoy collaborating cross-functionally to create cloud-native deployments and experiment-driven MLOps workflows. I am passionate about applying generative AI to automate workflows, optimize billing, and enhance user engagement while ensuring model interpretability and alignment with business KPIs.…I am an AI/ML Engineer with over 3 years of experience in building and deploying scalable machine learning, causal inference, and large language model solutions across various domains such as healthcare, marketing, and enterprise. My expertise lies in designing production-ready NLP pipelines, retrieval-augmented generation systems, and real-time model APIs using cutting-edge technologies like Python, PyTorch, Hugging Face, and AWS. I enjoy collaborating cross-functionally to create cloud-native deployments and experiment-driven MLOps workflows. I am passionate about applying generative AI to automate workflows, optimize billing, and enhance user engagement while ensuring model interpretability and alignment with business KPIs.

Yuktha Bhargavi

AI Engineer, Data Scientist, Developer, +2

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I am an AI/ML Engineer with over 3 years of experience in building and deploying scalable machine learning, causal inference, and large language model solutions across various domains such as healthcare, marketing, and enterprise. My expertise lies in designing production-ready NLP pipelines, retrieval-augmented generation systems, and real-time model APIs using cutting-edge technologies like Python, PyTorch, Hugging Face, and AWS. I enjoy collaborating cross-functionally to create cloud-native deployments and experiment-driven MLOps workflows. I am passionate about applying generative AI to automate workflows, optimize billing, and enhance user engagement while ensuring model interpretability and alignment with business KPIs.…I am an AI/ML Engineer with over 3 years of experience in building and deploying scalable machine learning, causal inference, and large language model solutions across various domains such as healthcare, marketing, and enterprise. My expertise lies in designing production-ready NLP pipelines, retrieval-augmented generation systems, and real-time model APIs using cutting-edge technologies like Python, PyTorch, Hugging Face, and AWS. I enjoy collaborating cross-functionally to create cloud-native deployments and experiment-driven MLOps workflows. I am passionate about applying generative AI to automate workflows, optimize billing, and enhance user engagement while ensuring model interpretability and alignment with business KPIs.

Available to hire

I am an AI/ML Engineer with over 3 years of experience in building and deploying scalable machine learning, causal inference, and large language model solutions across various domains such as healthcare, marketing, and enterprise. My expertise lies in designing production-ready NLP pipelines, retrieval-augmented generation systems, and real-time model APIs using cutting-edge technologies like Python, PyTorch, Hugging Face, and AWS.

I enjoy collaborating cross-functionally to create cloud-native deployments and experiment-driven MLOps workflows. I am passionate about applying generative AI to automate workflows, optimize billing, and enhance user engagement while ensuring model interpretability and alignment with business KPIs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Generative AI Prompt Engineering Intern at Provenetix Services

May 1, 2025 - August 6, 2025

Led the creation of dynamic prompt chains using LangChain and GPT-4 to automate invoice summaries, reducing manual workload by 30%. Developed a FastAPI containerized service for streamlined invoice validation and reconciliation. Improved generative model output accuracy with Retrieval-Augmented Generation using FAISS and LlamaIndex, while enhancing prompt templates in collaboration with domain experts. Focused on runtime logging and similarity-based validation to decrease inconsistency of outputs by 22%, and implemented a testing framework for evaluating prompts and increasing deployment velocity across billing formats.

AI/ML Engineer / Project Engineer at Wipro Ltd

July 1, 2023 - August 6, 2025

Built a supervised churn prediction pipeline that reduced monthly churn by 14% and developed a customer segmentation engine driving 18% higher ad conversions. Streamlined multi-source data pipelines with Airflow, improving ETL performance by 40%. Applied TF-IDF and VADER sentiment analysis for marketing insights, designed a product recommendation service to increase cross-sell effectiveness, and containerized ML models using FastAPI and Docker for cloud deployment on AWS Lambda and EC2. Integrated GPT-3 for auto-generating customer support responses, cutting support response times by 12%. Collaborated with MLOps teams on experiment tracking and drift detection to maintain model reliability.

Data Scientist at Neuten Healthcare

March 1, 2022 - August 6, 2025

Developed predictive risk models using Random Forest and Logistic Regression to help reduce emergency readmissions by 15%. Leveraged NLP tools to extract clinical entity and sentiment information for triage enhancements. Improved EHR onboarding pipelines for data integration, reducing new data source time by 40%. Clustered recovery patterns to aid care pathway design and applied causal inference techniques like Uplift Modeling and Propensity Score Matching to measure treatment effects. Created Power BI dashboards for real-time vitals monitoring, enhancing response times by 20%, and implemented model explainability with SHAP and LIME for clinical adoption.