Haridas Narayanaswamy
Senior Engineering Manager at M2P Fintech
Chennai, Tamil Nadu, India
Summary
🤩
Rockstar🎓
Top SchoolHaridas Narayanaswamy is a Senior Engineering Manager with 14 years of experience building cloud-native, high-throughput financial systems and ML-enabled platforms. He currently leads two product teams and architected a scalable Interest Platform that supports 1M+ accounts, ingested 150K credit cards, and accrues over €100K daily while enabling partner-facing savings and promotions features. His background spans software architecture, MLOps, and DevOps, with hands-on experience in Golang, Python, Java, event-driven patterns (CQRS, event sourcing), and AWS. He has driven reliability and performance improvements (99.999% uptime, p99 300ms), led generative-AI data pipelines that saved 100+ manual hours/month, and improved release and testing practices across organizations. An active contributor to ML and inference work in notable open-source projects like microsoft/AdaptiveCards, he brings both deep technical chops and a people-first management style focused on mentoring and measurable team growth. Based in Chennai, he pairs pragmatic, KISS-driven engineering with experimentation around GitOps and developer experience to accelerate product delivery.
14 years of coding experience
10'th and +2 Science and Mathematics, 10'th and +2 Science and Mathematics at H.S.S NEMMARAB-Tech Computer Science and Engg., B-Tech Computer Science and Engg. at NSS COLLEGE OF ENGINEERING
Stackoverflow
539reputation
40kreached
21answers
13questions
Github Skills (20)
pytorch10
evaluation10
eval10
object-detection10
computer-vision10
c-language9
machine-learning9
cprogramming-language9
docker8
dockers8
adaptive-cards7
eclipse6
apache-kafka6
rest6
weblogic-12c6
Programming languages (10)
Github contributions (5)
microsoft/AdaptiveCards
Jun 2020 - Mar 2021
A new way for developers to exchange card content in a common and consistent way.
Role in this project:
ML Engineer
ML EngineerContributions:19 reviews, 19 commits, 50 PRs in 8 months
Contributions summary:Haridas focused on evaluating and enhancing object detection model performance within the `microsoft/adaptivecards` repository. They implemented the mAP score metric to assess the quality of object detection and experimented with different implementations, including PyTorch. The user also addressed test failures and managed dependencies, including migrating requirements and Docker files. Furthermore, they worked on the integration of C++ inference binding for a DETR model, enhancing its performance.
exchangeadaptiveioswpfadaptivecards
haridas/RabbitChat
Jul 2011 - Jun 2015
Contributions:12 commits, 1 PR, 1 push in 3 years 11 months
chat-systempikachattornadowebsocket
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.