GenAI Engineer building intelligent systems at the intersection of machine learning and real-world impact.
Currently at AtliQ Technologies, engineering CNN-based quality assurance systems and RAG-powered healthcare agents. Completing my MS/MBA in Computer & Information Sciences at Rutgers University (4.0 GPA).
- Building CNN-based fruit detection for warehouse QA
- Developing RAG agents for healthcare data using LangChain + ChromaDB
- Researching computational approaches to Sanskrit texts (see my Mahābhārata project)
ML/AI
GenAI
Data & MLOps
I bridge technology with tradition. Trained in Sanskrit through Samskrta Bhāratī USA, I apply NLP to classical Indian texts—analyzing morphology, narrative networks, and semantic structures in epics like the Mahābhārata.
Also: Carnatic music enthusiast, occasional stock trader, and someone who believes AI can serve cultural preservation as much as commercial innovation.
| Current | GenAI Engineer @ AtliQ Technologies |
| Education | MS/MBA Computer & Information Sciences, Rutgers University |
| Research | Data Science & ML @ Rutgers Energy Lab (NSF-funded renewable analytics) |
| Prior | Workflow optimization research @ Johnson & Johnson |
I'm open to roles applying AI/ML to complex problems—especially those bridging technology and culture. Planning to pursue a PhD in Heritage Science & Technology at IIT Hyderabad in 2028.
