Karthik Palaniappan
Atlanta, GA, US
Hey there!
I’m an MS CSE graduate from Georgia Tech with seasoned proficiency in adapting ML paradigms to chip design at Xilinx-AMD (3 patents filed in continual learning of FPGA compile-time estimators, ML-based FPGA compile job-scheduling, and FPGA placement parameter ranking). Most recently at Georgia Tech, my work on “incentivizing neuro-symbolic reasoning in multimodal foundation models” engendered by AlphaGeometry, DeepSeek-R1, etc. has aided the fortification of my perspicacious aptitude for literature review and effectuation of SoTA compute-constrained post-training techniques in MLLMs.
I’m actively seeking job opportunities in applied ML (across roles in search, recommendations, RAG, LLM fine-tuning, LLM eval, data generation, post-training RL, reasoning, tool-use, etc.). Please feel at liberty to reach out to confer further!
projects
Estimating fanout wirelength in chip design via Sequence Modeling
AI Intern @ AMD (San Jose) | Summer '25
GNN-RL methodology to optimize routing sequence in custom GPU designs
GRA @ GTCAD Lab, School of ECE, Georgia Tech
publications
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Game-based digital intervention to aid cognitive development in autism spectrum disorderNature Sci. Rep., 2021, associated with IIT Kanpur
hobbies
Breathing, blinking, slurping water, typing random keys on keyboard during bootup, listening to Lex Fridman podcasts on 3x, etc.