Singapore 🇸🇬
I build intelligent systems that turn ambitious ideas into production-ready products.
I'm the Founder & Director of Red Augment, a Singapore-based AI and technology company that helps startups, enterprises, and research organizations design, build, and scale AI-powered systems.
Over the last 7+ years, I've worked across AI research, product engineering, and startup execution—building everything from LLM-powered applications and AI copilots to multimodal intelligence platforms, agentic workflows, and privacy-first self-hosted AI infrastructure.
My focus is not just building AI models.
It's building systems where AI works reliably under real-world constraints:
- Scale
- Cost
- Latency
- Security
- User behavior
We help organizations move from idea → prototype → production.
Our work includes:
- AI Agents
- LLM Applications
- Retrieval-Augmented Generation (RAG)
- Multimodal AI Systems
- AI Copilots
- Conversational AI
- Self-Hosted AI Infrastructure
- Enterprise Automation
- Full-Stack Product Development
Industries: Healthcare • Recruitment • Retail • Education • Logistics • Enterprise Software
- Founder & Director, Red Augment
- Delivered 20+ AI-powered products
- Generated $10M+ client-driven impact
- Clients across Europe, North America, and Asia
- Built privacy-first AI deployments aligned with GDPR requirements
- Designed large-scale multimodal data pipelines processing millions of records
- Developed low-compute LLM systems achieving near-GPU performance
- Led engineering teams across AI, backend, frontend, DevOps, and product
Master of Science (MS), Data Science 2022 – 2025
Research Focus:
- Large Language Models (LLMs)
- Multimodal AI
- Human-AI Interaction
- Feedback Generation Systems
- Conversational AI
Activities:
- Multimodal Perception Lab
- Volunteer, ACM ICMI 2022
- Volunteer, CODS-COMAD 2024
- Represented MOSIP at Open Source India
Dhruv Awasthi, Pooja S. B. Rao, Dinesh Babu Jayagopi
ACM Conference on Conversational User Interfaces (CUI '25)
Dhruv Awasthi, Shreya Gupta, Anirudh Sharma, Tulika Saha, Dinesh Babu Jayagopi
Submitted to IJCAI-ECAI 2026 Workshop on Foundation Models for Social Good
- Large Language Models
- Agentic AI
- Retrieval-Augmented Generation
- Multimodal AI
- Human-AI Interaction
- Conversational Systems
- AI Evaluation
- Responsible AI
AI & ML Python • PyTorch • TensorFlow • Hugging Face • LangChain • LlamaIndex
LLM Systems OpenAI • Claude • Gemini • Self-Hosted Models • RAG • Agents
Backend Django • FastAPI • Node.js • PostgreSQL • Redis
Infrastructure Docker • Linux • AWS • CI/CD • DevOps
Data Vector Databases • OCR • Web Scraping • Distributed Processing
Conversational AI platform enabling real-time customer engagement.
AI-powered resume feedback platform backed by academic research.
Multimodal AI system analyzing nutrition, ingredients, additives, sustainability, and product health.
LLM-driven virtual patient interactions for doctor training and clinical communication practice.
Self-hosted AI infrastructure designed for security-sensitive environments.
💼 LinkedIn https://linkedin.com/in/dhruv-awasthi
🏢 Red Augment https://redaugment.com
Building AI that ships. Research-backed. Production-ready. Designed for real-world impact.