AI Engineer · Production-Grade Intelligent Systems
Building intelligent systems that move from notebook to production — RAG pipelines, LLM agents, financial analytics, and NLP applications.
I'm an AI Engineer focused on building reliable, production-grade systems that turn large language models into practical tools. My work spans the full lifecycle — from designing retrieval pipelines and agentic workflows to deploying full-stack APIs and building domain-specific NLP applications.
Right now, I'm deep in earnings call intelligence and corporate compliance automation, two domains where AI can meaningfully reduce analyst workload and governance risk. I'm also actively exploring geopolitical risk modeling and domain-specific fine-tuning.
Languages
AI & ML
Cloud & DevOps
| Award | Event | Organizer | Year |
|---|---|---|---|
| 🥈 Finalist | Meta PyTorch OpenEnv Hackathon | SST, Bangalore | 2026 |
| 🥇 Innovation Award | Agentic AI Hackathon | Ulster University, UK | 2025 |
🔬 Currently building
- Pressure-aware multimodal earnings call intelligence (text + audio + interaction)
- OpenEnv-compliant agentic compliance systems with RL and LLM training pipelines (SFT + GRPO)
🌱 Actively exploring
- Geopolitical risk modeling using LLMs and structured data
- Domain-specific LLM fine-tuning for finance and legal
- Agentic AI patterns: planning, memory, multi-turn tool use
I'm open to collaborations on AI engineering projects, especially in financial analytics, agentic systems, or applied NLP.
- 📧 Email: [email protected]
- 💼 LinkedIn: vanshgupta1810