my work

I like building systems that scale and solve real problems.
Here's a summary of what I've worked so far.

March, 2025 - Present
Full-time

Product Manager

Harness.io
Driving SEI 2.0 — building engineering analytics grounded in AI-native abstractions.
Built and shipped the agentic framework (efficiency agents) that help engineering teams & developers reason about productivity and unblock faster.
Cut onboarding time from months to minutes by launching self-assembling org agents — game-changer for adoption.
Working closely with customers every week to close the feedback loop and build what matters.
Aug, 2023 - Feb, 2025
Full-time

Developer Relations Engineer

Harness.io
Took DevRel beyond talks & treated it as product feedback flywheel.
Launched InsightX: introspection layer for AI code tools like Copilot.
Added telemetry into the product: wired Segment → Amplitude → product decisions.
Shipped Propels (an internal automation engine) for engineering automation workflows.
July, 2022 - July, 2023
Internship

Software Engineer

Harness.io
Shipped core features in the CI product — including test intelligence, cache intelligence, and pipeline insights.
Built key integrations (Nexus, GAR) and OSS demos.
Prototyped an AI-native interface to orchestrate pipelines — early ideas on LLMs as reasoning agents.
Built an assistant that observed support patterns and responded with learned behavior (Harness AIDA).
July, 2021 - July, 2022
Internship

Developer Relations Engineer

Commudle
Founding DevEx team.
Scaled platform to 200k+ devs, 250+ communities.
Ran PLG streams - created content, docs, and hosted events.
2020 - 2021
Part-time

Machine Learning Engineer

SARS
Built semantic recommender (RoBERTa, Data2Vec).
Trained attribute extractors for content pipelines.
Replaced Wordpress plugin logic with ML automation.
2020
Internship

Machine Learning Engineer

Azure Skynet
First technical role. ML + infra.
Shipped microservices on Azure using Docker, K8s, BentoML.
Worked with TensorFlow.js and SciML.

Professional Summary

Dhrubajyoti Chakraborty is a Product Manager at Harness.io, specializing in AI-native software delivery platforms. He focuses on building reasoning systems and engineering analytics that help teams measure what matters.

Current Role

Product Manager at Harness.io (March 2025 - Present) - Driving SEI 2.0: building engineering analytics grounded in AI-native abstractions - Built agentic framework (efficiency agents) for engineering teams - Reduced onboarding time from months to minutes with self-assembling org agents

Previous Experience

Developer Relations Engineer at Harness.io (Aug 2023 - Feb 2025) - Launched InsightX: introspection layer for AI code tools - Added telemetry and analytics for product decisions - Built Propels automation engine for engineering workflows

Software Engineer at Harness.io (July 2022 - July 2023) - Shipped core CI features: test intelligence, cache intelligence, pipeline insights - Built integrations and OSS demos - Prototyped AI-native interface for pipeline orchestration

Technical Expertise

  • Machine Learning and AI
  • Product Management
  • Developer Relations
  • Software Engineering
  • Engineering Analytics
  • Cloud Native Development
  • CI/CD Systems
  • Reasoning Systems

Research Areas

  • Social engineering using neuro-sentiments (2023)
  • Quantum theory for cognitive phenomena (2021)
  • Robot learning through micro-expressions (2021)

Content Creation

Creates content on YouTube (@codewdhruv) about neural networks, cloud native development, and developer experience. Writes about technology, engineering systems, and AI on his blog and newsletter.

Background

Grew up in Assam, India. Started career in machine learning, focusing on production model behavior. Transitioned through software engineering and developer relations to product management.