Komal Sharan
Gen AI Systems Engineer (Senior Associate)
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolKomal Sharan is a Gen AI Systems Engineer with a decade of experience building production AI and robotics software, now specializing in agentic AI and LLM-powered solutions. She has led end-to-end generative AI POCs and deployments across enterprise and public-sector clients using Google Gemini, OpenAI GPT, Claude, LangChain, and vector DBs, and has operationalized RAG, embeddings, and fine-tuning at scale. Her background in C++ and Python spans robotics perception and motion systems, machine translation optimization at Google, and autonomous driving infotainment work demonstrated at CES. Academically grounded with an M.S. in Computer Science and a published thesis on attention mechanisms for image queries, she blends research rigor with pragmatic engineering. Notably, she has integrated CV pipelines with cloud deployments and built agentic intent-routing chatbots for disaster relief and large automotive clients. Based in Washington, D.C., Komal combines deep systems-level expertise with product-focused delivery across ML, CV, and agent frameworks.
10 years of coding experience
8 years of employment as a software developer
UMBCBachelor of Engineering (BE) Information Science, Bachelor of Engineering (BE) Information Science at Bangalore Institute of Technology
English, Hindi
Github Skills (17)
python8
scientific-computing5
linear-algebra5
numba5
convolution5
numpy5
blas5
interpolation5
mpi5
gradient-descent4
fundamental4
ndarray4
numerics4
root-finding4
finite-element-analysis3
Programming languages (1)
Github contributions (5)
komal-sharan/thesis_code
Nov 2018 - Apr 2019
Contributions:29 commits in 4 months
komal-sharan/resume
Jul 2018 - Jun 2020
Contributions:14 pushes, 2 branches in 2 years
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