Arsh Maheshwari User
@arshmaheshwariuser
I build AI-driven automation, computer vision systems, and production-ready developer tools.
IndiaWhat I'm looking for
I've built AI-driven automation solutions across software workflows, computer vision, and developer tooling. At Tech Mahindra, I developed foundations in machine learning, deep learning, and agentic AI systems customized for task-specific use cases.
At MNIT, I benchmarked a custom CNN against ResNet50, DenseNet121, EfficientNetB0, MobileNetV2, and VGG16 for explainable driver-behavior prediction. I applied SHAP, LIME, Random Forest, HMM, transformer architectures, and Leave-One-Driver-Out evaluation in research currently under publication review.
At Swastik Solutions, I built an ANPR system that automated truck entry and exit tracking, license-plate detection, bilty-based inventory logging, and real-time administrative monitoring. I also developed a custom CRM with lead management, sales pipelines, workflow automation, revenue insights, and role-based access control.
I also created Cruxify, a global npm CLI for production-readiness analysis across seven languages, and Wisora, a verified advisory platform built with Next.js, React, TypeScript, Tailwind CSS, and Supabase. My work has earned first-place finishes at Ace Hack 5.0 and Hack Arya Verse.
Experience
Work history, roles, and key accomplishments
Built a strong foundation in ML and Deep Learning, applying this knowledge to design and implement automation solutions for real-world software workflows. Advanced into agentic AI systems, gaining hands-on exposure to their architecture and development with a focus on customizing them for task-specific use cases.
Research Intern
Malaviya National Institute of Technology (MNIT)
Apr 2026 - Jun 2026 (2 months)
Benchmarked a custom CNN against ResNet50, DenseNet121, EfficientNetB0, MobileNetV2, and VGG16 for explainable AI-driven driver behavior prediction; applied SHAP and LIME across two multimodal datasets, with Random Forest and HMM on the extended study. Implemented transformer-based architectures with Leave-One-Driver-Out (LODO) evaluation to validate findings; the research is currently under revie
Software Development Intern
Swastik Solutions
Feb 2026 - Mar 2026 (1 month)
Built an ANPR system for a handicraft factory, automating truck entry/exit tracking, license plate detection, and bilty-based inventory logging with real-time administrative monitoring. Developed a custom CRM platform featuring lead management, sales pipeline tracking, workflow automation, revenue insights, and role-based access control tailored to client-specific business processes.
Education
Degrees, certifications, and relevant coursework
Jodhpur Institute of Engineering & Technology
B.Tech, Computer Science & Engineering (AI & ML)
2023 -
Grade: 8.72
Pursuing a B.Tech in Computer Science & Engineering with a focus on AI & ML, maintaining a CGPA of 8.72.
Availability
Location
IndiaAuthorized to work in
Portfolio
npmjs.com/package/cruxifySalary expectations
Skills
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