Harsh Dayal
Making AI feel Human | AI Engineer @Spectatr.ai | Ex AI @ YoLearn.ai, Debales.ai | 🏆Google + 3 National Hackathons | AI Agents | VITB’26 |
- Role
- Ai Engineer at Spectatr.Ai
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Harsh Dayal
I am a builder driven by a single goal: architecting AI systems that are scalable, modular, and high-performing. My philosophy is that a great model needs equally great infrastructure to deliver real value.I focus on creating production-grade solutions where technical robustness meets aesthetic utility. I don’t just write code; I design systems to ensure they serve a clear, meaningful objective to solve important problems.Currently, as an AI Engineer at YoLearn.ai, I am architecting the core backend for autonomous learning companions. I specialize in designing complex agentic workflows and optimizing retrieval systems for speed and accuracy. My work involves taking experimental concepts like multi-agent systems or advanced RAG pipelines and hardening them into enterprise-ready software. I have a proven track record of solving hard infrastructure problems, such as engineering custom memory systems to drastically reduce latency or building data pipelines that automate complex business workflows.My Technical Foundation- My expertise is built on deep proficiency in Python and a versatile stack that includes Generative AI, LLM fine-tuning, and Agentic frameworks like LangGraph and LangChain- I am equally at home architecting backends with FastAPI and Docker, managing complex data across PostgreSQL, MongoDB, and high-performance vector stores like Qdrant and Redis, and deploying on GCP, AWS, and Azure- I am an open-source contributor and hackathon winner who loves rigorous engineering, first-principles thinking, and shipping products that make a tangible difference.
Experience
Ai Engineer
Feb 2026 — Present · Gurugram, IN
certified clauder. helping claude reach $10B MRR
Education
Vellore Institute of Technology
Bachelor of Technology - BTech, Computer Science
2022 — 2026
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