Vantari Balaji
@vantaribalaji
AI Developer specializing in LLM integration, RAG systems, and production-ready AI agent solutions.
What I'm looking for
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
NLP AI Engineer
E42.ai
Feb 2023 - Present (2 years 10 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%.
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.
Education
Degrees, certifications, and relevant coursework
Krishna Teja Degree College, S.V. University
Bachelor of Science, Science
2018 - 2021
Grade: 7.87/10
Completed a Bachelor of Science program with coursework in computer science and machine learning, graduating with a GPA of 7.87/10.
Sri Vani Junior College, S.V. University
Intermediate, MPC (Mathematics, Physics, Chemistry)
2016 - 2018
Grade: 7.7/10
Completed Intermediate (MPC) curriculum with a focus on mathematics, physics, and chemistry, achieving a GPA of 7.7/10.
Sri Bhavani Vidya Nikethan School
Secondary (SSC), Secondary Education
2015 - 2016
Grade: 7.3/10
Completed Secondary School Certificate (SSC) education with a GPA of 7.3/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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