Deepankar Mahapatro
Engineering at Goodnotes
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolDeepankar Mahapatro is a Staff/Principal engineer based in Bengaluru with 9+ years (13+ years claimed in role summary) of hands-on experience building high-scale AI infrastructure, distributed systems, and MLOps for production. He has led core architecture and cloud-native efforts at Jina AI—authoring microservice designs, Kubernetes operators, and reducing model cold-starts dramatically—and helped ship langchain-serve and other open-source tools used by the community. Deepankar blends backend, DevOps and full‑stack skills (Python, Golang, MongoDB, Docker, Kubernetes, AWS) to deliver low-latency, resilient services for LLMs and voice AI, and has production experience with realtime streaming and multi-protocol gateways. Currently at GoodNotes after a stint building voice orchestration and LLM tool-call systems at Synthflow, he pairs pragmatic engineering with a strong contributor mindset visible across popular repos like Jina and Langflow. Notably, he moves beyond prototypes to operational realities—implementing CI, database handlers, and infra changes that keep open-source AI projects deployable and maintainable at scale.
9 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree Electronics & Communication Engineering, Bachelor’s Degree Electronics & Communication Engineering at National Institute of Science and TechnologyHigh School, High School at Saraswati Sishu Vidya Mandir10+2, 10+2 at SKCG Junior College
English, Hindi, Odia
Stackoverflow
1reputation
4kreached
0answers
1question
Github Skills (37)
fastapi10
docker10
python10
back-end-development10
dockers10
cicd10
mongodb-database10
jina10
mongodb10
react10
database-management9
devops9
front-end-development9
deeplearning-ai9
deep-learning9
Programming languages (12)
Github contributions (5)
jina-ai/examples
Sep 2020 - Sep 2021
Jina examples and demos to help you get started
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:7 reviews, 16 commits, 13 PRs in 1 year
Contributions summary:Deepankar contributed to the example repository by implementing and adapting functionalities to work with the `jinad` client, a core component of the Jina AI framework. They fixed flow configurations, adapting them for the latest `jinad` version. Their commits also involved setting up and adapting tests within the CI environment to ensure ongoing functionality. They were also involved in a test workflow.
nlppythononboardingget-starteddeep-learning
jina-ai/serve
Sep 2020 - Dec 2022
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:394 reviews, 244 commits, 348 PRs in 2 years 3 months
Contributions summary:Deepankar primarily contributed to the back-end of the Jina AI serve repository by implementing and modifying functionalities related to data storage using MongoDB. Their work involved creating handlers for inserting data, changing hub push flows, and integrating database features. The user demonstrated proficiency in Python, MongoDB, and Docker-related tasks, as evident from changes in database, hubio, and checker files.
opentelemetryllm-inferencecreative-aigrpcproduction
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