LLM Research Scientist @ Gen Digital Inc. | Building Scalable Agentic AI Systems | Fintech
{
"role": "LLM Research Scientist @ Gen Digital Inc.",
"team": "MoneyLion",
"focus": [
"Agentic AI architectures (single/multi-agent systems) for real-time financial intelligence",
"LLM optimization: context engineering, fine-tuning, reinforcement learning, self-evolution",
"Enterprise RAG systems and knowledge retrieval at scale",
"Agentic recommendation systems for personalized decision-making",
"Multimodal AI pipelines (vision, language, tabular data)",
"LLMOps infrastructure and production deployment patterns"
],
"skills": {
"languages": ["Python", "Java", "TypeScript/JavaScript", "HTML/CSS", "Bash"],
"databases": ["MySQL", "PostgreSQL", "MongoDB", "Qdrant"],
"data_ai": ["NumPy", "Pandas", "PyTorch", "Scikit-Learn", "LangChain/LangGraph", "FastMCP"],
"infra": ["MLflow", "Prefect", "Docker", "Kubernetes", "Terraform", "AWS"],
"other": ["Git", "GitHub Actions", "Kafka", "React", "FastAPI"]
},
"open_to_discussions": [
"Research-to-production challenges in LLMOps",
"Agentic system design patterns",
"Self-evolving AI architectures",
"Research collaborations in fintech AI and beyond"
],
"contact": {
"linkedin": "https://www.linkedin.com/in/amaanizhar/",
"email": "amaan142pw@gmail.com"
}
}"Great systems aren't just built — they're designed, debugged, and evolved."