Kartik Hans
Software Engineer at Morph Systems
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolKartik Hans is a distributed systems engineer with nine years of experience building scalable, performance-focused computing systems, currently contributing at Morph Systems. He specializes in high-performance parallel computing, optimized algorithms, and end-to-end LLM system efficiency—recent research reduced mobile LLM latency and memory footprint and explored GPU obsolescence strategies for lower carbon emissions. Kartik has a strong data engineering background—designing ETL pipelines, Spark batch jobs, and RESTful services across AWS/Azure—and has driven measurable throughput and energy savings in production and research settings. He pairs academic rigor from University of Pittsburgh and Johns Hopkins with hands-on product delivery at companies like C3 AI, Bright Money, and Goldcast, and frequently mentors engineers to accelerate team impact. Known for squeezing resource costs out of large models and devices, he focuses on making high-performance computing more efficient and accessible.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Pittsburgh School of Computing and InformationVisiting Undergrad Student Computer Science, Visiting Undergrad Student Computer Science at Johns Hopkins Whiting School of Engineering
English, Hindi, Punjabi, Spanish
Github Skills (15)
openai-api7
information-retrieval7
chatgpt6
ai5
gpt5
retrieval-augmented-generation5
benchmarking4
language-model4
llama4
llm4
function-calling4
benchmark3
serverless3
faas2
performance-analysis2
Programming languages (2)
Github contributions (5)
kartikhans/Projects-Assignments
Sep 2018 - May 2020
Contributions:6 pushes, 1 branch in 1 year 7 months
kartikhans/kinetic
Dec 2018 - Jan 2019
Contributions:88 pushes, 1 branch in 20 days
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