Aayush J
United States
Summary
👤
Senior🎓
Top SchoolAayush Kumar is a software engineer and researcher with nine years of experience blending applied machine learning, full‑stack development, and production operations. He holds an MS in Computer Science from UMBC and has published work on quantized large language models, focusing on explainability and mental health datasets. Aayush has built scalable web backends on AWS (Lambda, S3, DynamoDB) and modern frontends with Vue.js/NUXT, and has implemented GraphQL APIs and CI/CD pipelines for clients including Apple and startups. His hands-on ML work spans ASR fine-tuning, multimodal learning, diffusion models, and generative data augmentation, often integrating models directly into production pipelines. Career moves between research labs, internships, and industry roles show a pragmatic habit of shipping end-to-end systems while keeping one foot in cutting‑edge LLM and robustness research. Based in Arbutus, MD, he pairs academic rigor with operational experience—e.g., turning thesis findings into deployed services and cost‑efficient cloud architectures.
9 years of coding experience
+2, MPC, +2, MPC at Narayana Junior College , NallakuntaDiploma of Education, Chinese Language and Literature, Diploma of Education, Chinese Language and Literature at National Kaohsiung Normal UniversityBachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at SRM UniversityUMBCMatriculation, PCMB, Matriculation, PCMB at Johnson Grammar School ICSE & IB
English, Telugu, Chinese, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
lstm5
cryptocurrency4
architecture4
machine-learning4
localization4
classification4
vtk4
deep-learning3
python3
arxiv3
reimplementation3
knn-classifier3
classifier3
numpy2
dbms-project2
Programming languages (4)
Github contributions (5)
aayushkumarjvs/aayushkumarjvs.ml
Mar 2019 - Sep 2024
Contributions:43 pushes, 1 branch in 5 years 7 months
aayushkumarjvs/Deep-Crypto-Predict
Mar 2018 - Jun 2022
Using novel RNN-LSTM architecture for cryptocurrency market analysis
Contributions:9 commits, 2 PRs, 6 pushes in 4 years 3 months
rnnlstmmachine-learningmarket-analysiscryptocurrency
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