Danish Akhtar — AI Researcher

I’m a recent graduate AI/ML engineer. I have built and deployed real-world agentic AI systems that automate workflows, optimize data retrieval, and deliver value beyond prototypes. Hands on experience in development of multi-agent assistants using LangChain, CrewAI, and FastAPI — including a finance assistant that retrieved and analyzed live data, and a voice-based interview agent that simulated real conversation flows. Reduced manual operations and improved LLM response relevance through RAG pipelines using ChromaDB. Designed and deployed a medical chatbot with image + voice capabilities using Meta LLaMA 3 Vision, Whisper, and ElevenLabs — accessible via Hugging Face Spaces. Skilled in building backend-ready, agentic AI systems that integrate seamlessly into business workflows. Currently open to AI/ML roles focused on Agentic AI, RAG, and LLM engineering. Outside engineering, I’m a storyteller. I’ve made 100+ short-form videos end-to-end and study pacing, hooks, and retention like a science. I care about how things are built and how they are consumed on the internet.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in agentic AI and LLM engineering.

Location: Bengaluru, Karnataka, India

Experience: 3 mos