# Daksh Bagga

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

Curiosity, put to work. Now at Nektar.ai: Bridging the gap between what enterprise customers need and what engineers ship. Remote, India (EU & PST overlap).

## About

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.

## Experience

### The beginning: It started with a question.

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

### Data Analyst Intern, DefinEquity (Jun — Aug 2023, Remote)

Finding the signal in the data. Analyzed investment data and built dashboards to help teams make informed decisions.

- Problem: Large datasets made it difficult to find a clear signal and act on it quickly.
- Built: Tableau dashboards that brought over 10 million rows of investment data into a readable view.
- Impact: Analyzed 10M+ rows of investment data.
- Impact: Reduced decision latency by approximately 25%.
- Key numbers: 10M+ rows of investment data; ~25% less decision latency
- Tools: Tableau, Data analysis, SQL

### AI Quality Engineer, ISS STOXX (Jan 2024 — Apr 2025, Mumbai, India)

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

- Problem: Critical ESG issues needed reliable reproduction. Log analysis took hours, and accessibility gaps affected product usability.
- Built: A Python + LLM log analyzer, Selenium workflows in Java, and WCAG 2.1 AA accessibility audits.
- Impact: Compressed root-cause analysis from hours to minutes.
- Impact: Lifted NPS by 12 points through intelligent automation.
- Impact: Raised accessibility pass rate by approximately 25%.
- Key numbers: +12 points in NPS; ~25% higher accessibility pass rate; Minutes instead of hours for RCA
- Tools: Python, Java, Selenium, LLMs, WCAG

### Enterprise Solutions Engineer, Nektar.ai (Jun 2025 — Present, Remote · Bangalore)

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

- Problem: Enterprise teams need AI to fit their actual workflows. The challenge is connecting customer requirements, technical constraints, and business outcomes.
- Built: Custom integration workflows, production prompt optimization, and AI/LLM solutions in partnership with Technical Sales and GTM teams.
- Impact: Achieved 95% customer satisfaction through AI-powered solutions.
- Impact: Reduced implementation time by 60% with custom integration workflows.
- Impact: Supported enterprise accounts including Cursor, GuideCX, and Ironclad.
- Key numbers: 95% customer satisfaction; 60% less implementation time; AI → ROI from experiments to outcomes
- Tools: Python, LangChain, OpenAI, APIs, Prompt engineering

## Projects

- [ObsTell](https://obstell.com) (Project, Early access): Shared context for the people and agents doing the work. Tags: Shared context, Teams, Agents.
- [CasprFlow](https://github.com/xoDakshxo/CasprFlow) (Agents, In development): Hold a hotkey, speak, and dispatch work across apps and agents on macOS. Tags: Swift, Voice, macOS.
- [CasprOS](https://github.com/xoDakshxo/casprFlowOS) (Agents, In progress): An agent workspace taking shape around an infinite canvas, terminals, and voice. Tags: Electron, Agent canvas, Voice.
- [VibePoster](https://github.com/xoDakshxo/VibePoster) (Tools, Open source): Turn social trends into a style card, then draft, review, and publish posts. Tags: Next.js, Bluesky, Claude.
- All repositories: https://github.com/xoDakshxo

## Skills

- Core: Python, TypeScript, Java, SQL
- AI / LLM: LangChain, OpenAI, Ollama, RAG
- Tools: Docker, Postman, GitHub, FastAPI
- Practice: Selenium, CI/CD, Data analysis, Automation

## Contact

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

- Email: dakshbaggainst@gmail.com
- LinkedIn: https://www.linkedin.com/in/daksh-bagga1
- GitHub: https://github.com/xoDakshxo
- Résumé: https://drive.google.com/file/d/1tQXAr6kdk7nVirdTU505qtMV-hCndmgO/view?usp=sharing
- Website: https://www.dakshbagga.com
- Availability: Open to the next good idea. Remote, India, EU & PST overlap.