Aneesh Naik
Senior Software Engineer at Teikametrics
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAneesh Naik is a Senior Software Engineer based in Boston with 7 years of experience building web systems, machine learning pipelines, and data visualization tooling. He blends backend web expertise (Django, Flask, FastAPI) and cloud deployment (AWS/GCP/Kubernetes) with hands-on NLP work using PyTorch, Hugging Face, and spaCy to ship real-time inference pipelines. His background in linguistics and speech research informs practical solutions for speech data collection, transcription, and topic discovery—work he carried from the MIT Media Lab into production-grade ML infra. Comfortable across Python, JavaScript, SQL and R, he also engineers end-to-end data platforms and visualizations using Plotly, Altair and D3. Aneesh’s profile combines academic rigor in phonetics with applied engineering chops, including building containerized streaming collectors and novel topic models for large transcribed corpora.
7 years of coding experience
3 years of employment as a software developer
Summer School Linguistics, Summer School Linguistics at University of CreteLinguistics, Linguistics at University of Massachusetts AmherstSummer School, Summer School at Hampshire College
Github Skills (27)
linear-interpolation9
random-generation9
mkdocs8
journal8
sphinx-doc7
statistics7
conda7
sphinx7
python7
scalar7
open-access7
creative-commons6
simulations6
markdown6
arxiv5
Programming languages (1)
Github contributions (5)
aneeshnaik/PoSDomainWalls
Nov 2021 - May 2022
Simulations of satellite planes arising from scalar domain walls. Code and plotting scripts used for Naik & Burrage (2022): https://arxiv.org/abs/2205.00712
Contributions:28 commits, 2 PRs, 3 pushes in 6 months
arxivrtlsdrabssatellitescalar
aneeshnaik/lintsampler
Mar 2024 - Jan 2025
Efficient random sampling via linear interpolation.
Contributions:6 releases, 14 reviews, 8 PRs in 10 months
linear-interpolationnumpypythonrandom-generationstatistics
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