I am interested intelligent systems that learn, adapt, and operate in real-world environments. Reinforcement Learning enthusiast with a strong applied machine learning foundation, focused on building intelligent systems with impact.
- Agentic AI systems
- Reinforcement Learning & Imitation Learning
- Continual learning & learning-from-experience
- Decision systems under uncertainty
- Agentic architectures that improve through feedback loops
- Continual learning systems that scale beyond static training
- Bridging RL-style thinking into LLM systems
- Advanced agent orchestration patterns
- Scalable training & evaluation pipelines
- Designing ML systems that are robust outside the lab
I enjoy high-ownership environments, fast iteration cycles, and working from first principles.
Comfortable operating in ambiguity and taking ideas from concept to deployed systems.
- MASc, University of Toronto : Focussed on transfer learning and generalizability in Reinforcement Learning
- BTech, IIT Madras : Mechanical Engineering