Lohitasrith Gondi — AI Researcher
Data Scientist with a research-driven approach to building reliable and interpretable AI systems. My current work focuses on developing Graph RAG-based schematic search models and contributing to open-source LLM training and evaluation initiatives through Hugging Face. I am deeply interested in advancing Neuro-Symbolic AI, with ongoing research on Transformer-based architectures designed to minimize mathematical hallucinations and enhance reasoning capabilities. Beyond foundational modeling, I’m passionate about scaling these methods into autonomous AI agents that reason, plan, and interact more robustly with complex environments. I bring a strong blend of practical engineering, open collaboration, and research curiosity to push AI systems beyond pattern matching into grounded intelligence. My stack includes PyTorch, TensorFlow, Hugging Face Transformers, FastAPI, Spark, and modern cloud infrastructure (AWS, GCP, Azure). I'm also fluent in model monitoring, A/B testing, and performance optimization across distributed systems. I'm particularly excited about Generative AI, responsible model evaluation, and open-source contributions that push the field forward. If you're working on LLMs, applied AI, or anything at the intersection of ML and systems—let's connect!
Stackforce AI infers this person is a Data Scientist specializing in AI and machine learning within the tech industry.
Location: Hadley, Massachusetts, United States
Experience: 2 yrs 3 mos
Career Highlights
- Expert in developing interpretable AI systems.
- Focused on advancing Neuro-Symbolic AI research.
- Strong background in Generative AI and open-source contributions.
Work Experience
Capital One
AI Engineer (2 yrs 5 mos)
University of Massachusetts Amherst
Graduate Research Assistant (3 mos)
Dixon Technologies India Limited
Data Scientist (2 yrs 4 mos)
Education
Master's degree at Isenberg School of Management, UMass Amherst
Bachelor's of engineering at Ramaiah Institute Of Technology