Animesh Pandey
Senior Software Development Engineer at Amazon
Wakefield, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAnimesh Pandey is a Senior Software Development Engineer with 11 years of experience building search, NLU, and LLM evaluation infrastructure at Amazon, currently contributing to Agentic AI and browser automation efforts. He has deep practical expertise with Elasticsearch/OpenSearch, Lucene, and large-scale conversational systems, having led an Alexa-wide LLM evaluation framework from POC to GA in six months. Past roles span Audible search optimization, cross-domain Alexa orchestration, and contributions to open-source Elasticsearch tooling—his GitHub work enhancing elastic4s tests shows a strong focus on robust text analysis and token filtering. Comfortable driving production-grade systems and mentoring peers, he pairs rapid language/framework adoption with a developer-friendly engineering mindset and a track record of measurable performance improvements.
11 years of coding experience
9 years of employment as a software developer
High School, High School at Air Force Golden Jubilee InstituteMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Northeastern UniversityBachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Jaypee Institute of Information Technology
Hindi, English
Stackoverflow
5,958reputation
1.6mreached
30answers
205questions
cron
top-5%
Github Skills (15)
scala10
testing10
elasticsearch10
elasticsearchquery10
aws-elasticsearch10
elasticsearch-api10
amazon-elasticsearch10
cron9
crontask6
scheduled-tasks6
lda6
opencv6
gensim6
scipy6
python6
Programming languages (8)
Github contributions (5)
Philippus/elastic4s
Jun 2015 - Jun 2015
🔍 Elasticsearch Scala Client - Reactive, Non Blocking, Type Safe, HTTP Client
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 17 comments in 4 days
Contributions summary:Animesh primarily contributed to the test suite of the `elastic4s` project. Their work centered on adding and modifying tests related to the `StopTokenFilterPath`, demonstrating an understanding of Elasticsearch's text analysis capabilities. They introduced tests for various analyzers, tokenizers, and filters, confirming the correct handling of stop words and other text processing functionalities within the Elasticsearch client library. Additional contributions involved the ApostropheTokenFilter.
non-blockingcircehttp-clientreactive-streamstype-safe
apanimesh061/VaderSentimentJava
Apr 2016 - Nov 2021
Java port of Python NLTK Vader Sentiment Analyzer. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Contributions:2 releases, 1 review, 20 commits in 5 years 8 months
pythonrulejava-8valencesentiment-analyzer
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.