Headline

AI/ML Engineer | Building Production RAG & Agentic AI Systems | LangChain, LangGraph, LLM Fine-Tuning (LoRA/QLoRA) | Python, FastAPI, Docker, AWS | Open to GenAI/ML Roles

About

I build production-grade AI systems — from Retrieval-Augmented Generation (RAG) pipelines to multi-agent architectures — that turn unstructured data into reliable, real-world decisions. At ROR Technologies, I designed and deployed LLM-powered applications using LangChain, LangGraph, and vector databases, built AI agents with tool-calling and memory for workflow automation, and shipped ML models (Scikit-learn, XGBoost) into production using Docker, AWS EC2, and MLflow. What I focus on: → RAG & Agentic AI: LangChain, LangGraph, hybrid retrieval, vector search → LLM Fine-Tuning: LoRA/QLoRA for domain-specific adaptation → MLOps: Docker, AWS, MLflow, CI/CD for ML systems → Full-stack ML delivery: FastAPI APIs, Redis/Celery for scale [Add 1–2 measurable outcomes here, e.g., "Reduced document retrieval latency by X% through async parallelization" or "Automated Y business process, cutting manual effort by Z hours/week"] Currently completing my MCA at Kumaraguru College of Technology, actively seeking full-time AI/ML Engineer / GenAI Engineer roles. 📩 Open to connecting — sriramcr46@gmail.com

Location

Greater Bengaluru Area

AI stack

antigravity

claude code

langgraph

mcp

openai

huggingface

Work experience

Artificial Intelligence Intern at ROR Technologies, Dec 2025 - Jul 2026 · 8 mos, Coimbatore, Tamil Nadu, India

AI Engineer at ROR Technologies, Dec 2025 - Jun 2026 · 7 mos, Built and deployed LLM-powered applications (FastAPI, LangChain, LangGraph, RAG) enabling document search and conversational AI, [reducing query response time by X% / serving Y queries per day] Designed AI agents with tool-calling, memory, and multi-step workflow orchestration; automated [specific process] using n8n and REST APIs, cutting manual processing time by [X hours/week] Trained and optimized ML models (Scikit-learn, XGBoost) with feature engineering and evaluation, improving [model metric, e.g., F1/accuracy] by X% Containerized and deployed ML inference APIs (Docker, AWS EC2, Redis, Celery, MLflow), supporting [X concurrent users / reducing deployment time by Y%]

AI Engineer at ROR Technologies, Coimbatore, Completed a 6-month AI/ML internship at ROR Technologies, working on machine learning and generative AI applications. Developed and tested AI/ML solutions using Python, APIs, data processing, and model integration. Gained hands-on experience in debugging, deployment, testing, and building production-oriented AI workflows.

Django developer intern at App Innovation Technologies, Jun 2025 - Jun 2025 · 1 mo, Coimbatore, Tamil Nadu, India, Learned django for web development and build a Business analysis Dashboard

Education

Master of Computer Applications - MCA, Computer applications, kumaraguru college of technology

Bachelor of computer application, Computer application, PSG College of arts and science

Public links

github: https://github.com/Srirammmnn