Open to opportunities

Vantari Balaji

@vantaribalaji

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AI Developer specializing in LLM integration, RAG systems, and production-ready AI agent solutions.

India

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What I'm looking for

I seek roles building production LLM applications, RAG pipelines, and AI agents within collaborative, product-focused teams that value scalability and observability.

I am an AI Developer with 3+ years building production-ready AI applications using Large Language Models, specializing in LLM API integration, AI Agent development, and RAG systems. I design FastAPI microservices, orchestrate autonomous LangChain agents, and deploy scalable solutions with monitoring and optimized inference.

My work includes fine-tuning LLMs with LoRA/QLoRA, achieving significant VRAM reductions, and building enterprise-grade retrieval pipelines with Chroma and Quadrant that reached 95% retrieval accuracy on hundreds of documents. I collaborate in agile teams to deliver low-latency, reliable AI features and continuously improve model performance through prompt engineering and observability.

Experience

Work history, roles, and key accomplishments

Current

NLP AI Engineer

Current

E42.ai

Feb 2023 - Present (3 years 4 months)

Architected and deployed production AI applications integrating local LLMs and OpenAI APIs into FastAPI microservices, built RAG systems with 95% retrieval accuracy on 500+ documents, and developed autonomous AI Agents that reduced manual effort by 60%.

fastAPI LLaMA Mistral Chroma LoRA QLoRA Vector Databases Prompt Engineering PyTorch

Machine Learning Engineer Intern

Refactor Academy

Nov 2022 - Feb 2023 (3 months)

Developed end-to-end ML pipelines using scikit-learn and PyTorch for classification, regression, and clustering, applied feature engineering and SMOTE for imbalanced data, and optimized models via GridSearchCV and Optuna.

scikit learn PyTorch SMOTE GridSearchCV Optuna data preprocessing Model Evaluation