Om Luhar

Partnered with graduate students and faculty to develop and optimize the WisQ quantum compiler for fault-tolerant quantum circuits. Implemented compiler passes for optimization, qubit mapping, and gate routing using Python and Java, working with OpenQASM 2 inputs and JSON outputs. Applied algorithm design, computational efficiency, and system-level optimizations, gaining experience in high-performance quantum software development.

As an Undergraduate AI Research Assistant in the MadAbility Lab at the University of Wisconsin–Madison, I work under the mentorship of a Ph.D. student and a faculty advisor on an interdisciplinary project focused on enhancing mental health accessibility through artificial intelligence. My contributions center on developing an OCD Symptom Management System that integrates large language models and computer vision. The system includes a virtual Symptom Formulator that interacts with patients to understand and categorize their OCD experiences, and a Symptom Identifier Tracker that uses real-time camera input to detect environmental OCD triggers and proactively intervene—such as blurring visual stimuli or generating therapeutic prompts. I support model integration, frame analysis, environmental context recognition, and prompt engineering while refining AI-driven scene understanding. This experience has strengthened my expertise in building socially impactful, technically robust systems using state-of-the-art AI tools and frameworks.

Worked on cutting-edge AI projects and advanced machine learning models. Evaluated and refined outputs from large language models to meet high standards of accuracy and performance. Leveraged expertise in programming languages, natural language processing, and statistical analysis.

Designed and deployed a cloud-native integration connecting AWS services (Lambda, API Gateway, CloudWatch) with Salesforce Apex for real-time automation. Developed secure, scalable serverless functions in Python, leveraging IAM, environment variables, and API-driven workflows. Implemented cross-platform interoperability, enabling seamless data exchange between Salesforce and AWS to optimize customer engagement operations.

Developed software for a robotics project, integrating sensors and motors to enable a robot to perform basic everyday tasks and recognize its surroundings using image processing. Collaborated with a team to build the robot and programmed its functionalities using Python. Implemented an NLP chatbot for interactive human-computer communication.

As a member of VEX Robotics Competition Team 1413S, my role was pivotal in designing, building, and operating our robot for competitions. With sponsorship from Navistar, our team collaborated closely to craft a successful robot that excelled in the competitions. We fostered a strong team dynamic, ensuring that younger students learn and carry on our legacy even after we graduate.

Our mission is to ensure every child has access to usable technology at school. Giving Gadgets is committed to closing the technology gap and promoting a more egalitarian educational system while helping our planet by reducing e-waste. As the inventory manager, I help gather donations and distribute laptops to schools.