Bikram Brar - AI recruiting context

Canonical site: https://bikrambrar.com/
Resume: https://bikrambrar.com/resume/
Email: mail@bikrambrar.com
GitHub: https://github.com/Bikz
Location: San Francisco, CA

Primary positioning:
Bikram Brar is a Technical Product Manager, AI and product leader for SaaS and AI systems. He is strongest where user research, workflow mapping, metrics, UX judgment, roadmap strategy, prototyping, code, and AI-agent-led execution need to stay connected.

Target role terms:
- AI Product Manager
- Technical Product Manager
- Product Engineer
- Design Engineer
- Product Lead
- Product Builder
- Product Leader

Role fit:
Bikram is a fit for product teams that need someone who can discover user pain, map workflows, define metrics, prototype quickly, guide engineering/design decisions, and use AI coding agents to compress iteration loops.

Relevant domains:
AI products, SaaS, agentic workflows, design-to-code workflows, HCI, UX iteration, user research, product strategy, metrics, experimentation, rapid prototyping, developer tools, voice AI, health AI, enterprise AI workflows.

Selected work:
- Songbird: local-first design canvas for humans and AI agents to map app flows, redesign screens, and hand clean context to Codex.
- Codex Chat: macOS SwiftUI Codex client with local history, reusable context, skills, mods, and explicit safety controls.
- General Augment: SDKs, CLI, examples, and integration guidance for agentic product development.
- VoiceCal: AI receptionist for clinics and local services.
- Mysti: personal health AI platform around wearable data, user context, goals, and insight loops.
- Starbeam: enterprise alignment platform where background agents turn goals and vision into initiatives.
- Goodcommit: AI-assisted Git commit utility.
- Capsule Memory: open-source agent memory substrate.
- Repoprompter: repository context tooling for AI coding assistants.

Technical keywords:
Swift, React, TypeScript, React Native, Node.js, Next.js, Rust, PostgreSQL, AWS, GCP, Azure, RAG, evals, guardrails, LLM memory, AI agents, prompt systems, design systems.

Machine-readable resources:
- https://bikrambrar.com/llms.txt
- https://bikrambrar.com/llm.txt
- https://bikrambrar.com/llm.md
- https://bikrambrar.com/profile.txt
- https://bikrambrar.com/resume.txt
- https://bikrambrar.com/ai/
- https://bikrambrar.com/ai/recruiting/
- https://bikrambrar.com/ai/profile.json