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I am Anvith, an AI/ML Engineer with 5+ years of experience building production-ready AI solutions. I focus on GenAI lifecycle management, RAG pipelines, prompt engineering, and AI safety to ensure reliable, compliant deployments. I collaborate across teams to craft scalable microservices and real-time data pipelines using Python, FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). I thrive in cross-functional settings and prioritize security, governance, and measurable impact.…I am Anvith, an AI/ML Engineer with 5+ years of experience building production-ready AI solutions. I focus on GenAI lifecycle management, RAG pipelines, prompt engineering, and AI safety to ensure reliable, compliant deployments. I collaborate across teams to craft scalable microservices and real-time data pipelines using Python, FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). I thrive in cross-functional settings and prioritize security, governance, and measurable impact.

Anvith Reddy

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am Anvith, an AI/ML Engineer with 5+ years of experience building production-ready AI solutions. I focus on GenAI lifecycle management, RAG pipelines, prompt engineering, and AI safety to ensure reliable, compliant deployments. I collaborate across teams to craft scalable microservices and real-time data pipelines using Python, FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). I thrive in cross-functional settings and prioritize security, governance, and measurable impact.…I am Anvith, an AI/ML Engineer with 5+ years of experience building production-ready AI solutions. I focus on GenAI lifecycle management, RAG pipelines, prompt engineering, and AI safety to ensure reliable, compliant deployments. I collaborate across teams to craft scalable microservices and real-time data pipelines using Python, FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). I thrive in cross-functional settings and prioritize security, governance, and measurable impact.

Available to hire

I am Anvith, an AI/ML Engineer with 5+ years of experience building production-ready AI solutions. I focus on GenAI lifecycle management, RAG pipelines, prompt engineering, and AI safety to ensure reliable, compliant deployments.

I collaborate across teams to craft scalable microservices and real-time data pipelines using Python, FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). I thrive in cross-functional settings and prioritize security, governance, and measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at NAIC

January 1, 2025 - Present

Developed and deployed ML models (Isolation Forest, Autoencoders, One-Class SVM, CNN/RNN) to detect fraudulent claims, achieving 92% precision and 87% recall. Designed agentic frameworks using LLMs with RAG and Model Context Protocol for context-aware document retrieval, reasoning, and automated summarization. Architected RAG-based GenAI pipelines with LangChain and LangGraph using vector databases (FAISS, Pinecone) for embedding storage and semantic search in production. Built workflows for document retrieval, reasoning, and automated case summarization, improving decision support efficiency. Deployed cloud-native solutions on AWS and Azure (Lambda, S3, Azure Functions) with Docker and Kubernetes. Automated analytics engineering workflows and MLOps using MLflow, Airflow, and DVC; integrated SHAP and LIME for explainability and compliance.

Data Scientist at Lumen Technologies

June 1, 2022 - May 31, 2024

Built batch and real-time ETL pipelines, reducing data latency by 35%. Developed anomaly detection models (Isolation Forest, Autoencoders) on AWS and GCP, reducing high-risk financial events by 28%. Implemented Gradient Boosting and LightGBM to improve forecasting accuracy by 22% for risk analytics. Designed data transformation pipelines and NLP pipelines (BERT, NER) to automate financial text analysis. Created automated dashboards and collaborated on data platform optimization to support scalable analytics.

Python Developer at Mindfire Solutions

September 1, 2020 - May 31, 2022

Assisted in developing Python automation scripts to support data migration and legacy system modernization projects. Built and maintained ETL workflows to process structured and semi-structured datasets, improving data quality and ensuring consistent downstream usage. Contributed to API integrations and reusable Python modules, enabling faster development cycles. Monitored model health using precision, recall, and F1-score, helping detect model drift and maintain prediction accuracy above 85%.