Daksh Bagga · Solutions Engineer

I connect AI, product, and the people who use them.

Now at Nektar.ai

Bridging the gap between what enterprise customers need and what engineers ship.

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Remote, India · EU & PST overlap
01 / The journey

A few stops.
A common thread.

The beginning

Curiosity, before everything else.

00 · Where it started

The beginning

It started with a question.

An enduring curiosity

The thread through it all: curiosity about technology and the people who use it.

01 · Jun — Aug 2023 · Remote

DefinEquity

Finding the signal in the data.

Data Analyst Intern

Analyzed investment data and built dashboards to help teams make informed decisions.

What I built

Tableau dashboards that brought over 10 million rows of investment data into a readable view.

10M+rows of investment data
~25%less decision latency
A closer lookClickTap to see the problem, impact, and tools

Large datasets made it difficult to find a clear signal and act on it quickly.

  • Analyzed 10M+ rows of investment data.
  • Reduced decision latency by approximately 25%.
TableauData analysisSQL
02 · Jan 2024 — Apr 2025 · Mumbai, India

ISS STOXX

Making the complicated work.

AI Quality Engineer

A customer-facing quality role combining intelligent automation, root-cause analysis, and accessible product experiences.

What I built

A Python + LLM log analyzer, Selenium workflows in Java, and WCAG 2.1 AA accessibility audits.

+12points in NPS
~25%higher accessibility pass rate
Minutesinstead of hours for RCA
A closer lookClickTap to see the problem, impact, and tools

Critical ESG issues needed reliable reproduction. Log analysis took hours, and accessibility gaps affected product usability.

  • Compressed root-cause analysis from hours to minutes.
  • Lifted NPS by 12 points through intelligent automation.
  • Raised accessibility pass rate by approximately 25%.
PythonJavaSeleniumLLMsWCAG
03 · Jun 2025 — Present · Remote · Bangalore

Nektar.ai

Now

Building for the real world.

Enterprise Solutions Engineer

I work where customers, engineering, and product meet. From ambiguous problems to integrations that work in the real world.

What I built

Custom integration workflows, production prompt optimization, and AI/LLM solutions in partnership with Technical Sales and GTM teams.

AI → ROIfrom experiments to outcomes
A closer lookClickTap to see the problem, impact, and tools

Enterprise teams need AI to fit their actual workflows. The challenge is connecting customer requirements, technical constraints, and business outcomes.

  • Achieved 95% customer satisfaction through AI-powered solutions.
  • Reduced implementation time by 60% with custom integration workflows.
  • Supported enterprise accounts including Cursor, GuideCX, and Ironclad.
PythonLangChainOpenAIAPIsPrompt engineering
02 / Selected projects

Things I’m building.

Projects, tools, and ideas that made it out of my notes.

Built out of curiosity. Still evolving.All repositories
03 / The toolkit

The right tool for the problem.

Always learning. Always building.

Core
PythonTypeScriptJavaSQL
AI / LLM
LangChainOpenAIOllamaRAG
Tools
DockerPostmanGitHubFastAPI
Practice
SeleniumCI/CDData analysisAutomation
04 / Off the keyboard

Curious on
and off the clock.

I like the space between a technical problem and the people who need it solved.

My path has gone from investment data to quality engineering to customer-facing AI. The work changes; the question stays the same: how can this become useful?

Outside of work: games, travel, good food, and an idea that probably deserves a weekend prototype.

Daksh Bagga smiling outdoors in pixel-art sunglasses and a black T-shirt
Big bets. Fast calls.
05 / Let’s connect

Let’s build
something useful.

An interesting problem, a good conversation, or the next thing worth building. I’m listening.

Open to the next good ideaRemote, India · EU & PST overlap
DB.© 2026 Daksh Bagga · Stay curious. Make useful things.
Let’s talk