Models & methods
Transformers, representation learning, sequence modeling, supervised fine-tuning, reward modeling, and prompt design.
CURRICULUM VITAE
Research, publications, teaching, education, and technical experience in one document.
FULL ACADEMIC & PROFESSIONAL CV
Machine learning researcher and technical lead.
Ph.D., Computer Science and Engineering, IIIT Hyderabad.
PDF · 4 pages · Updated October 2026
TECHNICAL PRACTICE
Transformers, representation learning, sequence modeling, supervised fine-tuning, reward modeling, and prompt design.
Controlled benchmarking, human evaluation, error analysis, distillation, quantization, latency, and carbon-impact measurement.
Python, PyTorch, Hugging Face Transformers, Git, Bash, reproducible pipelines, technical mentorship, and scientific writing.