Looking for a job

GNANA CHAITHANYA MANGAMMAGARI

@gnanachaithanyamanga

Message

I build production AI systems, agentic workflows, and reliable LLM backends.

India

Message

What I'm looking for

I'm looking to build and scale production AI systems where I can own reliable LLM, agentic AI, RAG, and machine-learning solutions from architecture through cloud deployment, while working directly with clients and product teams.

At DataToBiz, I build production AI backends for enterprise clients across EdTech, media, automotive, and market intelligence. I took a handwritten-exam grading platform from a fragile prototype to a concurrent AWS service, cutting processing time by about 48%, reducing grading MAE from 13.4 to about 4 marks, and lowering inference costs by 37%.

I build agentic AI and RAG systems with LangChain, LangGraph, CrewAI, FastAPI, Celery, and Redis, integrating Gemini, GPT-4o, Claude, and Perplexity with failover and recovery. My work also spans predictive maintenance, computer vision, LLM evaluation, cloud deployment across AWS, Azure, and GCP, and client-facing technical delivery.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

DataToBiz Pvt. Ltd.

Jan 2026 - Present (8 months)

Collaborated with enterprise clients to define AI solution architecture and deliver complete AI backends. Re-architected a handwritten-exam grading platform, cutting processing time by ~48% and reducing cost by 37%.

Generative AI Agentic AI LangGraph fastAPI Flask Celery Redis AWS Azure GCP Docker Gitlab CI PostgreSQL Gemini GPT 4o Claude Perplexity RAG Multi Agent Systems Cost Optimization

AI Engineer Intern

DataToBiz Pvt. Ltd.

Jul 2025 - Dec 2025 (5 months)

Built and deployed a 9-stage predictive-maintenance pipeline for medical devices, reducing unplanned failures by 15%. Developed multi-agent GenAI products and production-hardened workflows.

Predictive Maintenance Bi LSTM SHAP fastAPI Streamlit Azure GPT 4o N8n RAG Pinecone Prompt Engineering

Data Science Intern

AISPRY

Mar 2024 - Mar 2025 (1 year)

Improved dermatology triage accuracy by 35% using YOLOv8 and IVF embryo grading accuracy by 25% with a custom CNN. Built an LLM clause-extraction pipeline and trained an LSTM forecasting model.

YOLOv8 CNN LLM Streamlit DeepFace Computer Vision Time series Forecasting