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Saram HaiSH
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Saram Hai

@saramhai

AI engineer at The Botss who shipped 9+ production AI systems and cut inference costs by ~58% for a multilingual agent.

Pakistan
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At The Botss, I lead AI architecture and hands-on development for client projects across legal, healthcare, e-commerce and enterprise. I’ve shipped 9+ production AI systems, including multi-agent assistants, real-time voice agents and RAG applications.

For Arthur, I built a multilingual voice agent serving around 3,000 users across production instances. I introduced prompt caching that reached a 98.5% hit rate and reduced inference costs by ~58%, and designed sub-agents to replace a 6,000+ line monolithic prompt.

I also built the AI agent and backend for Accident Assist AI, which interviews US accident victims, creates structured case files and routes qualified leads to law firms. For RedactIQ, I developed document classification and PII redaction for Australian council planning documents, with inference pinned to the Vertex AI Sydney endpoint.

At Neural Internet, I designed a decentralised LLM chatbot with RAG on the Bittensor network and maintained subnet validators. I also built a real-time validator monitor from node logs that alerted the team on Slack and contributed to a 2% APY increase within weeks.

Experience

Work history, roles, and key accomplishments

NI

Machine Learning Engineer

Neural Internet

Apr 2024 - Oct 2024 (6 months)

Designed a decentralised LLM chatbot with RAG on the Bittensor network handling 1,000+ messages a day across Discord and Telegram. Maintained 30+ Bittensor subnet validators and built a real-time monitor that read validator logs directly from the nodes, contributing to a 2% APY increase.

Education

Degrees, certifications, and relevant coursework

Sindh Madressatul Islam University logoSU

Sindh Madressatul Islam University

Bachelor of Science, Artificial Intelligence

2020 - 2024

Pursued a Bachelor of Science in Artificial Intelligence from 2020 to 2024.

NA

NAVTTC

Certification, Machine Learning and Deep Learning

2022 - 2022

Completed a six-month certification in Machine Learning and Deep Learning in 2022.

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