Vinod I
Senior Software Engineer at Zalando
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolVinod I is a Senior Software Engineer based in Berlin with over a decade of experience building and scaling cloud-native products across backend, frontend, mobile, ML/NLP and media processing domains. He led engineering at Adori to deliver a patented interactive audio creation platform, designing real-time audio pipelines, dynamic ad insertion, and a no-code cross-platform app builder on GCP. Comfortable across systems—from Kubernetes, BigQuery and GCS to TensorFlow and sequence models—he has hands-on MLOps and distributed media-processing expertise and has contributed to well-known open-source projects like Rasa and MITIE. Known for translating business needs into API-first architectures, he also mentors engineers and bridges UX, product and infrastructure concerns to ship production-grade, data-driven features.
10 years of coding experience
11 years of employment as a software developer
Master of Technology (M.Tech.), Media and Sound Engineering, Master of Technology (M.Tech.), Media and Sound Engineering at IIT KharagpurBachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Sri Jayachamarajendra College of Engineering, Mysore
Kannada, English, Hindi
Github Skills (16)
machine-learning10
nlp10
lib10
rasa10
python10
back-end-development10
natural-language-processing10
ml-deployment9
apidoc9
cprogramming-language9
c-language9
api9
continuous-deployment9
cloud-services8
cloud-infrastructure8
Programming languages (7)
Github contributions (5)
RasaHQ/rasa
Jan 2017 - Jun 2017
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:17 commits, 5 PRs, 14 comments in 4 months
Contributions summary:Vinod primarily contributed to the back-end of the Rasa NLU project, focusing on the `MITIEInterpreter`. Their work included bug fixes and refactoring, such as removing feature extractors from constructors. Furthermore, the user integrated multi-tenancy support using the MITIE backend, including modifications to the data router. They also implemented model storage using Google Cloud Storage (GCS), indicating MLOps skills.
nlupythonbotspeech-recognitionbotkit
mit-nlp/MITIE
Jan 2017 - Feb 2017
MITIE: library and tools for information extraction
Role in this project:ML Engineer
ML EngineerContributions:10 commits, 1 PR, 9 comments in 21 days
Contributions summary:Vinod's contributions primarily involve enhancing the MITIE library's Python bindings, specifically related to text categorization and named entity extraction. They added functionality to load text categorizer and named entity extractor pure models, enabling the use of a total word feature extractor. Furthermore, the user introduced new functions and modifications to the existing codebase for supporting the shared use of feature extractors between multiple models. These changes improve flexibility and allow for more efficient use of the library.
nlpmitieextractionpythonc-plus-plus
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