Heer Ambavi

Product Engineer

Bengaluru, Karnataka, India6 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in transitioning monoliths to microservices.
Strong background in NLP and machine learning research.
Passionate about customer-centric SaaS development.

Stackforce AI infers this person is a SaaS-focused technical lead with expertise in microservices and machine learning.

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Skills

Core Skills

MicroservicesNlp

Other Skills

Business NetworkingC (Programming Language)C++Cloud DevelopmentData VisualizationDockerGitHTMLKubernetesLaTeXLinuxMachine LearningMicrosoft OfficeNatural Language Processing (NLP)Operating Systems

About

Currently: Tech Lead @ DevRev, helping run DevRev’s GTM motion on DevRev. (Yes, it’s very meta.) Also: chasing the dream of truly customer-centric SaaS — with a mix of product thinking, AI, and way too many documents. ✍️ Writing Behind the Build — a series on what no one tells you about product, writing, and leading in tech Previously: 🎓 CS (Hons.) from IIT Gandhinagar 🔧 Engineering at Nutanix Beliefs I hold strongly (and say too often): → Writing is thinking → Simplicity is underrated → Growth happens in the uncomfortable Outside work, these days you’ll find me: 📚 reading books about books 🎵playing my ukulele or guitar Always up for conversations on building better products, doing meaningful work, or just decoding the chaos of modern work. Let’s talk?

Experience

Devrev

Member Of Technical Staff

Jan 2022 – Present · 4 yrs 2 mos · Bangalore Urban, Karnataka, India

Nutanix

2 roles

Member Of Technical Staff - 3

Aug 2021 – Jan 2022 · 5 mos · Bangalore Urban, Karnataka, India

Member Of Technical Staff - 2

Aug 2020 – Jul 2021 · 11 mos · Bangalore Urban, Karnataka, India

Micro Services Platform(MSP) Team on moving monolith services to a containerized solution using Docker and Kubernetes.

DockerKubernetesMicroservices

Lingo: computational linguistics and complex social networks group

Research

Aug 2019 – Jul 2020 · 11 mos · India

I worked on numerous NLP and applied ML projects as a member of the LINGO Lab. I also attended weekly group reading sessions, where we presented and discussed ongoing research in these domains.

Natural Language Processing (NLP)Machine LearningNLP