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I am a MS candidate in Robotics & Autonomous Systems (Artificial Intelligence) with a strong foundation in Python, machine learning, distributed systems, and AWS. I'm passionate about building scalable software and AI-powered tools that serve millions of users, and I enjoy tackling challenging problems with curiosity and persistence. I have hands-on experience shipping production GenAI experiments and LLM-powered workflows, and I thrive in cross-functional teams. I aim to contribute as an SDE-I by delivering reliable, observable systems, rapid learning, and a customer-focused mindset.…I am a MS candidate in Robotics & Autonomous Systems (Artificial Intelligence) with a strong foundation in Python, machine learning, distributed systems, and AWS. I'm passionate about building scalable software and AI-powered tools that serve millions of users, and I enjoy tackling challenging problems with curiosity and persistence. I have hands-on experience shipping production GenAI experiments and LLM-powered workflows, and I thrive in cross-functional teams. I aim to contribute as an SDE-I by delivering reliable, observable systems, rapid learning, and a customer-focused mindset.

Benhar John

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a MS candidate in Robotics & Autonomous Systems (Artificial Intelligence) with a strong foundation in Python, machine learning, distributed systems, and AWS. I'm passionate about building scalable software and AI-powered tools that serve millions of users, and I enjoy tackling challenging problems with curiosity and persistence. I have hands-on experience shipping production GenAI experiments and LLM-powered workflows, and I thrive in cross-functional teams. I aim to contribute as an SDE-I by delivering reliable, observable systems, rapid learning, and a customer-focused mindset.…I am a MS candidate in Robotics & Autonomous Systems (Artificial Intelligence) with a strong foundation in Python, machine learning, distributed systems, and AWS. I'm passionate about building scalable software and AI-powered tools that serve millions of users, and I enjoy tackling challenging problems with curiosity and persistence. I have hands-on experience shipping production GenAI experiments and LLM-powered workflows, and I thrive in cross-functional teams. I aim to contribute as an SDE-I by delivering reliable, observable systems, rapid learning, and a customer-focused mindset.

Available to hire

I am a MS candidate in Robotics & Autonomous Systems (Artificial Intelligence) with a strong foundation in Python, machine learning, distributed systems, and AWS. I’m passionate about building scalable software and AI-powered tools that serve millions of users, and I enjoy tackling challenging problems with curiosity and persistence.

I have hands-on experience shipping production GenAI experiments and LLM-powered workflows, and I thrive in cross-functional teams. I aim to contribute as an SDE-I by delivering reliable, observable systems, rapid learning, and a customer-focused mindset.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Engineer (Intern) at Allyzent

September 1, 2025 - Present

Built production text and content generation systems using LLMs for real customer-facing workflows; designed and tuned retrieval, prompting, and inference pipelines to improve content quality, groundedness, and generation consistency. Automated data and context-refresh pipelines with n8n to reduce manual upkeep and streamline assistant behavior across updates. Evaluated LLM inference for groundedness, relevance, and latency, and added guardrails and logging for observability. Owned end-to-end lifecycle of code from design through deployment and ongoing operations, including on-call duties.

Research Assistant at RISE Lab, ASU

October 1, 2024 - August 1, 2025

Developed reproducible ML and data preprocessing pipelines for UR5 trajectory optimization using regression-based smoothing and constraint-based tuning. Processed and cleaned structured robotic datasets; validated robustness using ROS/Gazebo simulations. Built ML pipelines for UR5 trajectory optimization, modeling time-series motion patterns and physical constraints.