byondboundrys
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Our Team

A small team that builds High-impact AI and software.

We blend product thinking, engineering excellence, and AI-first execution. From discovery to deployment, we deliver systems that ship reliably—and keep improving in production.

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Focus

AI + SaaS

Approach

Outcome-first

Delivery

PoC → Production

AI Engineering Product Design Cloud Delivery
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How we work

Operating principles

The habits behind consistent delivery: clarity, quality, and calm execution.

Clarity

Outcome-first planning

We define success metrics, user impact, and system constraints before building.

Quality

Evaluation by default

Testing, eval suites, regressions, and monitoring are part of delivery—not optional add-ons.

Trust

Security & reliability

We ship secure-by-design systems with role-based access, audit trails, and stable operations.

Meet the team

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Amit Kumar
01 Leadership

Ravi Prakash Gupta

AI That Delivers, Not Just Demos | Founder @Byond Boundrys | Helping CXOs & Founders Adopt Responsible GenAI | Let’s Build Your Next AI Edge

Builds AI-first products and delivery systems with a strong focus on execution, quality, and measurable outcomes.

Strategy AI Systems Delivery
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Raveesh Mishra

AI Engineer | RAG Specialist | LangChain & LlamaIndex | OpenAI Integration & Fine-Tuning | Python | Node.js | TypeScript | .NET Core | Vector DB | SQL Serve

Leads full-stack engineering and AI integrations—shipping scalable systems with strong architecture and reliability.

Full-stack DevOps AI Delivery
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Raveesh Mishra
02 Engineering
Harpal
03 Product & Design

Harpal Singh

AI Researcher | M.Tech Candidate in Generative AI | Tech & Dev

I’m Harpal Singh, an AI Researcher and M.Tech (Generative AI) candidate focused on building practical, production-ready AI products. I’m currently Team Lead – GenAI Implementation at Byond Boundrys, delivering responsible GenAI solutions end-to-end, and I also work as an AI Researcher (Tech & Dev) at Simplify AI Tools, building LLM features and automation workflows. My core expertise includes LLMs, RAG/GraphRAG, fine-tuning, prompt engineering, model evaluation, and AI agents. I primarily build AI backends in Python (FastAPI) using LangChain and LangGraph for retrieval and orchestration, and I work with vector databases, embeddings, PostgreSQL, and NoSQL (MongoDB/DynamoDB) to power fast search systems. On the product side, I use JavaScript, React, Node.js/NestJS, and build WordPress sites when needed.

Full-stack DevOps AI Delivery
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Want to work with our team?

Share your goals and constraints. We’ll propose the fastest path to value—discovery, build, and production rollout.

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OUR EXPERTS

Questions? Get in touch.

Tell us about your project. We’ll respond quickly and help you plan next steps.

Fast response NDA on request Clear roadmap
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