Ramasai
Open to AI Engineer / GenAI / ML roles

Ramasai ReddyBuilding intelligent systems that ship

AI Engineer with 5+ years of experience designing machine learning, Generative AI, RAG, and agentic systems across finance, healthcare, and retail. Focused on production-ready AI applications, cloud deployment, retrieval systems, and end-to-end engineering. LangChain, LangGraph, FAISS, Chroma, AWS, Azure, MLOps, and full-stack AI delivery.

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5+

Years Experience

3

Domains: Finance / Healthcare / Retail

AI + ML

RAG, Agents, NLP, MLOps

AI Engineer Snapshot

Enterprise AI, GenAI, and ML systems

I build retrieval-augmented systems, multi-step reasoning workflows, anomaly detection pipelines, intelligent document processing, and production-grade AI platforms with strong engineering foundations.

Core AI Stack

LLMs, RAG, LangChain, LangGraph, Vector Search

ML / NLP

Scikit-learn, PyTorch, TensorFlow, Transformers

Cloud / MLOps

AWS Bedrock, SageMaker, Azure ML, Docker, MLflow

Engineering

APIs, automation, pipelines, scalable backend systems

About Me

Production-focused AI engineer with strong software foundations

I build AI systems that combine machine learning, retrieval, orchestration, cloud deployment, and software engineering into practical solutions.

AI Engineer with 5+ years of experience building machine learning and Generative AI systems across finance, healthcare, and retail domains.

My core strengths include Retrieval-Augmented Generation, LangChain and LangGraph-based workflows, vector search, LLM application development, and production-grade AI pipeline design.

I enjoy building end-to-end systems that combine data engineering, machine learning, explainable AI, cloud deployment, and real business impact.

Core Strengths

Generative AIRAGMulti-Agent SystemsVector SearchMLOpsCloud AIProduction APIs

What I Build

Intelligent assistants, document AI workflows, anomaly detection platforms, healthcare validation systems, ML pipelines, and enterprise-grade AI applications that balance engineering reliability with model-driven intelligence.

Skills & Technologies

AI, GenAI, ML, MLOps, and software engineering stack

Built around production AI systems, retrieval-augmented pipelines, agentic orchestration, machine learning, cloud platforms, and scalable software delivery.

PythonGenAILLMsRAGLangChainLangGraphMulti-Agent SystemsPrompt EngineeringFAISSChromaScikit-learnPyTorchTensorFlowAnomaly DetectionTransformersBERTAWS BedrockSageMakerAzure MLDockerMLflowPySparkNLPTool CallingPythonGenAILLMsRAGLangChainLangGraphMulti-Agent SystemsPrompt EngineeringFAISSChromaScikit-learnPyTorchTensorFlowAnomaly DetectionTransformersBERTAWS BedrockSageMakerAzure MLDockerMLflowPySparkNLPTool Calling
AI / Generative AI
LLMsRAG PipelinesPrompt EngineeringLangChainLangGraphHugging FaceMulti-Agent SystemsTool CallingWorkflow OrchestrationSemantic RetrievalContext GroundingCursor
Machine Learning
Scikit-learnXGBoostRandom ForestLogistic RegressionK-MeansAutoMLAnomaly DetectionFeature EngineeringModel EvaluationFraud Risk Scoring
NLP / Deep Learning
PyTorchTensorFlowTransformersBERTNLTKText ClassificationSentiment AnalysisCNNsRNNsOpenCV
Vector Search / Retrieval
FAISSChromaSentence TransformersOpenAI EmbeddingsSimilarity SearchKnowledge RetrievalVector IndexingRAG Architecture
Cloud / MLOps / Engineering
AWS BedrockSageMakerLambdaS3EC2EMRAzure MLADFSynapseKey VaultGCPDockerKubeflowAirflowJenkinsMLflowCI/CDGitPySparkSQLJavaScriptScala

Experience

Professional journey

My background spans enterprise AI, healthcare automation, and machine learning systems in financial services.

Software Developer AI

Argano

July 2024 – Present

  • Designed and implemented LLM-driven applications using Retrieval-Augmented Generation for enterprise knowledge querying with high contextual accuracy.
  • Built agentic AI workflows using LangGraph for multi-step reasoning, query routing, context enrichment, and response generation.
  • Developed embedding pipelines and vector search systems using FAISS and Chroma for semantic retrieval and context grounding.
  • Deployed Generative AI pipelines using AWS Bedrock and SageMaker for scalable enterprise inference workflows.
  • Implemented OCR and document intelligence pipelines that reduced human verification costs by 60%.

AI Developer Student Assistant

TGH-USF People Development Institute

July 2023 – June 2024

  • Built LLM-powered internal assistants using RAG for training material and policy retrieval.
  • Developed Python-based automation pipelines that reduced manual reporting effort by 50%.
  • Created NLP-based text classification models to categorize employee feedback and training responses.
  • Designed data preprocessing and ETL workflows to structure HR and learning datasets for analytics and AI use cases.

Software Engineer

American Express (via Infosys)

January 2019 – August 2022

  • Built a fraud risk scoring system using machine learning, improving detection accuracy by 27%.
  • Created scalable feature engineering pipelines with AWS Glue and PySpark to process large-scale transactional data.
  • Applied classification and anomaly detection techniques to support real-time fraud decisioning workflows.
  • Built ML pipelines on Azure ML and Databricks with automated retraining and model versioning using MLflow.

Projects

AI Projects & Case Studies

Detailed breakdown of real-world AI and machine learning systems, including demos, architecture thinking, ML concepts, workflows, and engineering decisions.

Project Case Study

Agentic Transaction Risk Investigator

AI-powered transaction investigation system combining anomaly detection, rule-based scoring, and LLM explanations.

FastAPILangGraphOllamaIsolation ForestScikit-learnSQLite
GitHub
Agentic Transaction Risk Investigator demo
Project Case Study

AI Clinical Note Validator

Healthcare AI system that validates clinical documentation using NLP, RAG, and LLM reasoning.

FastAPIStreamlitRAGChromaSentence TransformersFLAN-T5
GitHub
Project Case Study

Multi-Agent Defect Intelligence System

Retail defect analysis system using ML classification and agent-based reasoning.

PythonTF-IDFLogistic RegressionRAG-like retrieval
GitHub
Multi-Agent Defect Intelligence System demo
Project Case Study

ML Algorithm Chooser (AutoML Assistant)

Streamlit-based ML assistant that recommends algorithms, performs EDA, and trains models.

StreamlitScikit-learnEDAAutoML LogicClusteringModel Evaluation
GitHub
ML Algorithm Chooser (AutoML Assistant) demo

GitHub

Recent repositories

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Certifications

Professional certifications

Certifications that strengthen my background in AI engineering, machine learning, cloud platforms, and Generative AI.

AI / Machine Learning

IBM AI Engineering Professional Certificate

Issued by IBM

Cloud / Machine Learning

AWS Certified Machine Learning – Specialty

Issued by Amazon Web Services

Generative AI

IBM Generative AI Engineering with LLMs

Issued by IBM

Cloud / Development

Microsoft Azure Developer Associate

Issued by Microsoft

Cloud Engineering

Google Associate Cloud Engineer Certification

Issued by Google Cloud

Achievements

Impact highlights

A few measurable outcomes and portfolio strengths that reflect the kind of value I focus on delivering.

1

Improved fraud detection accuracy by 27% through machine learning-based risk scoring.

2

Reduced human verification costs by 60% by implementing OCR and document intelligence workflows.

3

Reduced manual reporting effort by 50% using Python automation pipelines.

4

Built end-to-end AI systems across finance, healthcare, and retail domains.

5

Designed production-oriented RAG, vector search, and agentic AI workflows for enterprise use cases.

Contact

Let’s connect

I’m open to AI Engineer, Generative AI, Machine Learning, and applied AI platform opportunities. Feel free to connect with me for roles, collaborations, or project discussions.

Open for opportunities

I’m interested in roles involving Generative AI, LLM applications, RAG systems, machine learning platforms, and end-to-end AI product development.

Email MeLinkedInGitHub

Phone

+1 7039108886

Location

Fairfax, Virginia, USA