About me

Proficient technical leader with extensive research and developer experience in building custom, robust systems for large-scale learning and driving industry-wide impact. Proven ability of delivering complex technical initiatives from conception to production.

My research interests/expertise lies in:

• Machine/Deep Learning
• Large Language Models
  • Pre-training strategies
  • Supervised/Instruction Fine-tuning
  • Parameter-Efficient Fine-tuning strategies (LORA, QLORA)
  • Reinforcement Fine-tuning (RLHF, PPO, GRPO) + Preference Optimization (DPO)
  • Distillation, Quantization methods (QAT, PTQ)
• Deep Graph/Geometric Learning

I have 12+ years of research and 12+ years of developer experience during which I have been exposed and worked on solving a variety of problems. Passionate about advancing the state-of-the-art in AI and contributing to the AI community. Please feel free to contact me at suchismi@buffalo.edu :)

Previously

I was a PhD student with the Machine Learning & Data Science Research (MLDS) group at the State University of New York at Buffalo, working under Varun Chandola. I have completed my Masters at UB as well with a perfect GPA and subsequently decided to pursue a PhD degree.

Predominantly my area of research is in large scale Machine Learning and Data Mining. More specifically my research focuses on designing, analyzing and implementing novel Machine Learning algorithms that take advantage of modern hardware to enable learning and mining of massive graphs and data sets.