Headline

AI Engineer | Agentic AI • Multi-Agent Systems • RAG • LLM Engineering • LangGraph • LangChain • Generative AI

About

AI Engineer specializing in Agentic AI, Multi-Agent Systems, and Enterprise Generative AI applications. Over the last 2+ years, I have designed and deployed production-grade AI systems spanning Agentic RAG, autonomous workflows, LLM orchestration, computer vision, and AI-powered enterprise products. My expertise includes LangGraph, LangChain, GPT, Claude, Gemini, Groq, vector databases, and modern retrieval architectures. I focus on building reliable AI systems that combine reasoning, retrieval, tool usage, structured outputs, and human-in-the-loop workflows. Key areas of work: • Agentic AI & Multi-Agent Systems • Enterprise RAG & Knowledge Systems • LLM Engineering & Prompt Optimization • AI Product Development • Computer Vision & Deep Learning • AI Evaluation & Observability Currently building autonomous AI platforms that enable content generation, SEO automation, business intelligence, and enterprise knowledge management through advanced agent orchestration. Open to AI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Architect, and Applied AI roles.

Location

Bengaluru

AI stack

gemini

hugging face

langchain

langgraph

langsmith

Chroma

Work experience

AI Engineer at Cybrisk, Sep 2024 - Present · 2 yrs 1 mo, Bengaluru, - Built and deployed CtrlFake (ctrlfake.com), a deepfake detection platform using Computer Vision, achieving >90% accuracy on video and image analysis. - Developed CtrlThreats (ctrlthreats.com), an NLP/ML-powered phishing detection system that reduced manual security review by 60%. - Designed a real-time AI verification system using YOLO and Faster R-CNN for object detection and container seal validation in secure logistics. - Built production MLOps pipelines with Docker, MLflow, and CI/CD for model training, versioning, and deployment. - Fine-tuned YOLOv8/v11, Faster R-CNN, and U-Net on custom datasets; handled end-to-end data annotation, training, and hyperparameter optimization.

AI Engineer at The Geekonomy, Jul 2024 - Sep 2024 · 3 mos, Bengaluru

App Developer at The Geekonomy, Apr 2024 - Jun 2024 · 3 mos, Bengaluru, Karnataka, India, - Designed a cross-platform criminal profiling dashboard in Flutter. - Integrated 20+ APIs for automated workflows, reduced manual entry by 80%. - Optimized real-time data pipelines between law enforcement systems.

Education

Bachelor of Engineering - BE, Computer science and engineering, Global academy of technology

Sri Chaitanya College of Education

Public links

github: https://github.com/dhanvina

medium: https://medium.com/@dhanvina

dhanvina.github.io: https://dhanvina.github.io/