Daksh Bagga | Solutions Engineer

Daksh Bagga · Solutions Engineer

I connect AI, product, and the people who use them. Then I build something that actually helps.

See my work The story so far

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 look

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%.

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 look

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%.

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.

95%customer satisfaction

60%less implementation time

AI → ROIfrom experiments to outcomes

A closer look

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.

02 / Selected projects

Things I’m building.

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

ProjectEarly access

ObsTell

Shared context for the people and agents doing the work.

Visit ObsTell

AgentsIn development

CasprFlow

Hold a hotkey, speak, and dispatch work across apps and agents on macOS.

View on GitHub

AgentsIn progress

CasprOS

An agent workspace taking shape around an infinite canvas, terminals, and voice.

View on GitHub

ToolsOpen source

VibePoster

Turn social trends into a style card, then draft, review, and publish posts.

View on GitHub

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.