Aneep Tandel
Senior Technical Lead at LMNTO PERFORMANCE INFORMATION TECHNOLOGY
Dubai, Dubai, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolAneep Tandel is a Senior Technical Lead with 11 years of experience building cloud-native, full-stack systems and leading distributed teams from Dubai. He blends hands-on engineering—across NestJS, Next.js, React, Node, Flutter, Solidity and Python—with strategic architecture work in microservices, serverless and event-driven designs to drive digital transformation in IoT, Web3 and payments. Aneep has a proven track record of re-architecting monoliths to scalable platforms, optimizing DevOps and CI/CD to cut deployment times and infrastructure costs while improving resilience via Kubernetes. He also contributed to the widely used Google Cloud Bigtable Python client, improving core APIs and retry semantics, reflecting a focus on reliability at scale. Comfortable aligning technical roadmaps with business outcomes, he’s equally at home implementing ERC20/NFT flows with PCI/KYC considerations and tuning autoscaling to reduce operational spend.
10 years of coding experience
7 years of employment as a software developer
Engineer's degree, Electronics and Telecommunication, First, Engineer's degree, Electronics and Telecommunication, First at The Institute of Electronics and Telecommunication Engineers10th, SSC, 10th, SSC at L.D.Highschool, SachinThe Indira Gandhi National Open University (IGNOU)
English, Hindi, Gujarati
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
google-cloud-bigtable10
python10
grpc10
api-design9
unit-testing8
testing8
unit-test8
Programming languages (4)
Github contributions (5)
googleapis/google-cloud-python
Jan 2018 - Aug 2018
Google Cloud Client Library for Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 27 PRs, 63 comments in 6 months
Contributions summary:Aneep contributed to the Google Cloud Bigtable client library for Python. Their work involved adding features like a row generator for efficient data iteration and implementing retry mechanisms for crucial operations, such as `mutate_row` and `read_rows`. They also integrated the new generated low-level client, indicating a focus on improving the library's performance and reliability, along with adding the ability to specify an app profile. The user's commits demonstrate a focus on enhancing the Bigtable API client's core functionality.
gcpappenginepythongoogleclient-library
zakons/google-cloud-python
Dec 2017 - Jul 2018
Google Cloud Client Library for Python
Contributions:321 pushes, 38 branches, 30 tags in 7 months
gcpappenginepythongoogleclient-library
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