Laxman Mahto Laxman-Mahto

B.Tech CSE · AIML · Full-Stack Developer · Applied AI/ML

Building real-world software where engineering meets AI and everyday problems.

I can serve both hot meals and hot fixes!

👋 About Me

I'm Laxman Mahto, a third-year B.Tech CSE student specializing in AI & Machine Learning at UEM Jaipur. I enjoy building real-world, portfolio-worthy software across full-stack development and applied AI/ML.

Alongside engineering, I manage a night canteen inside my university, handling day-to-day operations, staff, inventory and procurement while serving 1,500+ students and faculty.

I like turning problems I actually see around me into practical software — combining engineering, AI, problem solving and real-world execution.

⚡ Current Focus

🛠️ Building Full-stack web applications Applied AI/ML products Real-world automation Practical software systems	🧠 Learning Java Data Structures & Algorithms Applied AI RAG systems
🔬 Exploring Computer Vision Explainable AI AI-powered applications Research-oriented engineering	🎯 Open To Software Engineering Internships Full-Stack Development AI/ML Opportunities Research & Open Source

🧰 Tech Stack

🚀 Featured Projects

🛡️ ClassGuard

Exam monitoring web application that detects:

Tab switching
App switching
Split-screen activity
Suspicious activity

Teachers receive live alerts and can take action during tests.

Stack:
React · Vite · Tailwind CSS · shadcn/ui · Framer Motion · Supabase · Vercel

📊 InternPulse

Full-stack internship management platform for colleges.

Built around dual-role workflows for institutions and corporate HR teams to track and verify student internships.

Stack:
Next.js · TypeScript · Prisma · PostgreSQL · JWT · Tailwind CSS · shadcn/ui · Vercel

🦴 Knee Osteoarthritis Severity Classifier

Five-class knee osteoarthritis severity classification using a custom multi-scale CNN with CBAM + residual learning, alongside a ResNet50-CBAM branch.

Includes:

Ensemble inference
Test-time augmentation
Ordinal evaluation
LIME explainability

Results:
67.03% Accuracy · 69.17% Macro-F1 · 0.8432 QWK · 0.3641 MAE

🤖 Canteen Assistant Bot

RAG-based chatbot being developed around real canteen data.

Designed to answer student questions about:

Menu
Prices
Timings
Canteen information

Status: In Progress

🌐 Personal Portfolio

Personal developer portfolio showcasing projects, technical skills, research and experience.

Stack:
React · TypeScript · Vite · Tailwind CSS

💡 Building With Purpose

I prefer projects that solve an actual problem, have realistic workflows, and can grow beyond a simple college demo.

Observe → Build → Test → Improve → Ship

🔬 Research Spotlight

Knee Osteoarthritis Severity Classification

67.03%
Accuracy

69.17%
Macro-F1

0.8432
QWK

0.3641
MAE

97.22%
Exact / ±1 Grade

Multi-scale CNN · CBAM · Residual Learning · Ensemble Inference · TTA · LIME

IEEE conference paper in preparation.

💼 Experience & Responsibility

🍽️ Owner-Operator Night Canteen · UEM Jaipur	Manage day-to-day operations, staff coordination, inventory, procurement and finances while serving 1,500+ students and faculty.
💻 Machine Learning Intern InAmigos Foundation · Remote	Worked on data preprocessing and model-evaluation pipelines for applied machine-learning problem sets with a remote team.

🏆 Achievements & Activities

🏅
21st
_{Among 1,000+ Participants}

🏸
Finalist
_{UEMJ Sports Fest 2025}

💻
ACM Tech Core
_{UEM Jaipur}

⚙️
Pradyog
_{Technical Community}

💻 Coding & Contributions

Learning through DSA, projects, research and consistent building.

🌱 Currently Learning

🤝 Let's Connect

Have an idea, project, research opportunity or something worth building?

_{Building with curiosity · solving with code · learning every day.}

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