Aditya Tanikanti
Lead Engineer at SLAC National Accelerator Laboratory
Naperville, Illinois, United States
Summary
👤
Senior🎓
Top SchoolAditya Tanikanti is a Lead Engineer with a decade of experience building full-stack applications, HPC inference pipelines, and DevOps-driven data platforms across national labs, academia, finance, and retail. He blends hands-on software engineering (Python, C++, MPI/OpenMP, REST APIs) with systems-level expertise running DOE supercomputers and automating scientific workflows. At Argonne and SLAC he moved from systems integration to senior data architecture and now leads engineering for large-scale scientific computing projects. His Master's in Computational Science underpins a practical focus on scalable ML inference, database optimization, and reproducible research tooling. Colleagues rely on him to bridge researchers' needs and production-grade systems, often turning terabytes of experimental data into auditable analysis pipelines. He’s equally comfortable teaching OOP labs as he is tuning cluster libraries, a mix that drives both mentorship and technical rigor.
10 years of coding experience
10 years of employment as a software developer
Master's degree Computational Science, Master's degree Computational Science at Indiana University BloomingtonRashtrasant Tukadoji Maharaj Nagpur University
English
Github Skills (72)
transformer10
gpt10
llama10
amd10
cuda10
pytorch10
inference10
llm10
openai10
journal9
catalog9
api9
ckan9
open-access9
simulation9
Programming languages (8)
Github contributions (5)
argonne-lcf/inference-endpoints
Jul 2024 - Nov 2025
This is a repository with examples to run inference endpoints on various ALCF clusters
Contributions:1 release, 11 reviews, 23 PRs in 1 year 4 months
inference
atanikan/llm-inference-service
Sep 2023 - Aug 2025
This repo hosts the different ways to run vllm on ANL HPC system
Contributions:6 PRs, 56 pushes, 4 branches in 1 year 10 months
hpc
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