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I am an AI/ML Engineer with 10+ years of experience leading AI initiatives across banking and healthcare. I specialize in GenAI governance, cross-functional enablement, and transforming business goals into scalable, safe AI solutions. I have hands-on experience with a broad range of GenAI technologies including LLMs (GPT, Claude, LLaMA, Mistral, Gemma), diffusion models, and domain-specific fine-tuning techniques such as LoRA/QLoRA. I have delivered measurable impact in customer experience, fraud detection, and healthcare operations, while building guardrails and success metrics to ensure responsible adoption. I am proficient in Python, PyTorch, TensorFlow, and NLP with experience deploying agentic AI systems, RAG/GraphRAG pipelines, and enterprise-scale knowledge retrieval using vector/graph databases. I’ve led MLOps and LLMops with cloud-based pipelines (SageMaker, Vertex AI), containerization (Docker, Kubernetes), and CI/CD, and I regularly translate business goals into repeatable processes, governance frameworks, and scalable architectures. I enjoy enabling teams, conducting governance reviews, and delivering secure, high-value AI solutions.…I am an AI/ML Engineer with 10+ years of experience leading AI initiatives across banking and healthcare. I specialize in GenAI governance, cross-functional enablement, and transforming business goals into scalable, safe AI solutions. I have hands-on experience with a broad range of GenAI technologies including LLMs (GPT, Claude, LLaMA, Mistral, Gemma), diffusion models, and domain-specific fine-tuning techniques such as LoRA/QLoRA. I have delivered measurable impact in customer experience, fraud detection, and healthcare operations, while building guardrails and success metrics to ensure responsible adoption. I am proficient in Python, PyTorch, TensorFlow, and NLP with experience deploying agentic AI systems, RAG/GraphRAG pipelines, and enterprise-scale knowledge retrieval using vector/graph databases. I’ve led MLOps and LLMops with cloud-based pipelines (SageMaker, Vertex AI), containerization (Docker, Kubernetes), and CI/CD, and I regularly translate business goals into repeatable processes, governance frameworks, and scalable architectures. I enjoy enabling teams, conducting governance reviews, and delivering secure, high-value AI solutions.

Vasanth Reddy Madakala

AI Engineer, Data Scientist, Data Analyst, +2

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I am an AI/ML Engineer with 10+ years of experience leading AI initiatives across banking and healthcare. I specialize in GenAI governance, cross-functional enablement, and transforming business goals into scalable, safe AI solutions. I have hands-on experience with a broad range of GenAI technologies including LLMs (GPT, Claude, LLaMA, Mistral, Gemma), diffusion models, and domain-specific fine-tuning techniques such as LoRA/QLoRA. I have delivered measurable impact in customer experience, fraud detection, and healthcare operations, while building guardrails and success metrics to ensure responsible adoption. I am proficient in Python, PyTorch, TensorFlow, and NLP with experience deploying agentic AI systems, RAG/GraphRAG pipelines, and enterprise-scale knowledge retrieval using vector/graph databases. I’ve led MLOps and LLMops with cloud-based pipelines (SageMaker, Vertex AI), containerization (Docker, Kubernetes), and CI/CD, and I regularly translate business goals into repeatable processes, governance frameworks, and scalable architectures. I enjoy enabling teams, conducting governance reviews, and delivering secure, high-value AI solutions.…I am an AI/ML Engineer with 10+ years of experience leading AI initiatives across banking and healthcare. I specialize in GenAI governance, cross-functional enablement, and transforming business goals into scalable, safe AI solutions. I have hands-on experience with a broad range of GenAI technologies including LLMs (GPT, Claude, LLaMA, Mistral, Gemma), diffusion models, and domain-specific fine-tuning techniques such as LoRA/QLoRA. I have delivered measurable impact in customer experience, fraud detection, and healthcare operations, while building guardrails and success metrics to ensure responsible adoption. I am proficient in Python, PyTorch, TensorFlow, and NLP with experience deploying agentic AI systems, RAG/GraphRAG pipelines, and enterprise-scale knowledge retrieval using vector/graph databases. I’ve led MLOps and LLMops with cloud-based pipelines (SageMaker, Vertex AI), containerization (Docker, Kubernetes), and CI/CD, and I regularly translate business goals into repeatable processes, governance frameworks, and scalable architectures. I enjoy enabling teams, conducting governance reviews, and delivering secure, high-value AI solutions.

Available to hire

I am an AI/ML Engineer with 10+ years of experience leading AI initiatives across banking and healthcare. I specialize in GenAI governance, cross-functional enablement, and transforming business goals into scalable, safe AI solutions. I have hands-on experience with a broad range of GenAI technologies including LLMs (GPT, Claude, LLaMA, Mistral, Gemma), diffusion models, and domain-specific fine-tuning techniques such as LoRA/QLoRA. I have delivered measurable impact in customer experience, fraud detection, and healthcare operations, while building guardrails and success metrics to ensure responsible adoption.

I am proficient in Python, PyTorch, TensorFlow, and NLP with experience deploying agentic AI systems, RAG/GraphRAG pipelines, and enterprise-scale knowledge retrieval using vector/graph databases. I’ve led MLOps and LLMops with cloud-based pipelines (SageMaker, Vertex AI), containerization (Docker, Kubernetes), and CI/CD, and I regularly translate business goals into repeatable processes, governance frameworks, and scalable architectures. I enjoy enabling teams, conducting governance reviews, and delivering secure, high-value AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Sr.Gen AI Engineer at American Express

January 1, 2025 - Present

Led Agile squads deploying GenAI pilots for call transcript summarization, fraud detection, and analyst assistance, reducing handling time by 30%. Established GenAI intake with scoring rubric (impact, feasibility, data risk, ROI), cutting evaluation cycle time by 35%. Authored governance playbook covering prompt hygiene, PII handling, and fallback rules, with Risk/Legal sign-off. Facilitated backlog refinement and sprint planning across CX, Risk Ops, and IT, and delivered training and playbooks enabling 6+ teams to safely adopt GenAI.

AI Engineer at Amazon

December 1, 2023 - December 1, 2024

Designed end-to-end Retrieval-Augmented Generation pipelines with LangChain and vector databases for domain knowledge retrieval; built LLM-powered applications using Hugging Face; fine-tuned models with LoRA/PEFT; engineered prompt templates and chaining; integrated Vertex AI embeddings and vector search (FAISS, Pinecone, Google Vector Search); developed GraphRAG pipelines with Neo4j; containerized with Docker; deployed on GKE; automated infrastructure with Terraform; implemented event-driven pipelines using Pub/Sub; built preprocessing, feature engineering, and anomaly detection; established CI/CD pipelines and model monitoring.

Data Scientist at NBC Universal

July 1, 2021 - November 1, 2023

Facilitated Agile ceremonies; collaborated with data engineers and operations to implement ETL; built database models, APIs and views in Python; performed univariate and multivariate analyses; developed ML algorithms (XGBoost, Random Forest, SVM) using Pandas, NumPy, Seaborn, Matplotlib, Scikit-Learn, Scipy, NLTK; designed Snowflake schema data models and scalable ETL pipelines; automated deployment with Docker and AWS SageMaker; contributed to hybrid search strategies and end-to-end data pipelines with Snowflake and AWS; performed data imputation and supported data visualization initiatives.

Data Analyst at Ascension Health

November 1, 2019 - July 1, 2021

Performed data analysis, migration, and data preparation for customer segmentation; developed multivariate validation scripts; built ETL pipelines with Snowflake and Alteryx; created dashboards and data visualizations; performed data cleansing, validation, and verification; supported data warehousing and data modeling efforts.

Tableau Developer/Data Analyst at FedEx

January 1, 2017 - October 1, 2019

Converted design specifications into technical documents; automated Tableau reports; supported data visualization and analytics; built REST APIs to fetch Vodafone network data; created interactive dashboards; performed data wrangling and SQL; collaborated with cross-functional teams for reporting needs.

Data Analyst at Gap Inc

September 1, 2014 - December 1, 2016

Developed and optimized 200+ stored procedures; built ad hoc metric reports and views; web scraped and wrangled data, rectifying discrepancies; developed SQL and Python scripts for data loading and cleaning; designed 8+ web applications using REST APIs and dashboards for data visualization; collaborated with clients on requirements and testing.