Maanav Shah
Engineering Manager at Harness
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolMaanav Shah is an engineering manager and former technical lead with ~9 years of experience building high-scale backend systems and leading teams in fast-growing Indian startups. He led Zepto’s Search team to measurably improve relevance, latency, recall, and infrastructure performance for a platform serving millions of real-time queries daily, and has a track record of re-architecting monoliths into cost-efficient distributed services. Comfortable balancing technical depth with business impact, his focus areas include distributed systems, performance optimization, and platform reliability. An active contributor to open-source projects, he has worked on multimodal AI tooling (image-processing crafters for Jina Serve) and built production-grade APIs for Indian stock markets, showing both ML-adjacent and backend engineering breadth. Based in Bengaluru, he combines hands-on coding experience with people leadership and a pragmatic, metrics-driven approach to shipping reliable systems.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at Pune Institute of Computer Technology
Hindi, English
Github Skills (22)
javascript10
expressjs10
python10
apidoc10
numpy10
data-transformation10
nodejs10
axios9
computer-vision9
deep-learning8
api8
lodash8
machine-learning8
restful-api7
api-design7
Programming languages (5)
Github contributions (5)
maanavshah/stock-market-india
Nov 2018 - Dec 2021
API for Indian Stock Market's NSE and BSE.
Role in this project:
Back-end Developer & API Developer
Back-end Developer & API DeveloperContributions:7 reviews, 19 commits, 10 PRs in 3 years 1 month
Contributions summary:Maanav contributed to the development of an API for the Indian Stock Market, focusing on data retrieval from NSE and BSE. Their work included creating utility files for data transformation, implementing modules for BSE data, and adding API routes using Express.js. The user demonstrated expertise in Node.js and utilized libraries like Axios and lodash. The primary focus was on building the backend API functionality and connecting to external data sources.
apistock-marketcheerionsebse
jina-ai/serve
Aug 2020 - Aug 2020
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:ML Engineer
ML EngineerContributions:6 commits, 1 PR, 14 comments in 1 day
Contributions summary:Maanav's commits primarily focus on developing and refining image processing functionalities within the Jina AI serve repository. The user added and modified image flipping crafters (horizontal and vertical), indicating a focus on data augmentation techniques. Code changes include implementing the flipping logic, writing corresponding unit tests, and fixing bugs related to the crafters' functionality, suggesting expertise in image manipulation within the multimodal AI application context.
opentelemetryllm-inferencecreative-aigrpcproduction
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