Rajaram
Lavudya.
I design systems that learn, scale, and ship — bridging machine intelligence with real-world products. From CNN architectures to production APIs, every line serves a purpose.
Building with
purpose.
I'm Lavudya Rajaram — an ML engineer and full-stack developer crafting intelligent systems and polished interfaces. Every project ships with clean code, clear thinking, and an obsession with getting things right.
15+
Projects
200+
Commits
11
Certs
19+
Repos
AI / ML
PyTorch · TensorFlow · LLMs · RAG · Computer Vision
Full-Stack
React · Next.js · Node.js · TypeScript · Tailwind
Backend / DB
FastAPI · Flask · PostgreSQL · Redis · Prisma
DevOps
Vscode · Linux · GitHub Actions · n8n · CI/CD
5+
Academic Projects
19+
GitHub Repos
5+
AI Projects
11
Certifications
Academic
Journey.
3
Levels
20+
Courses
91%
Best Score
4
Years
B.Tech Computer Science & Engineering
Central University of Haryana
In Progress
Score
2022
Start
Tech &
Toolbox.
42+
Skills
7
Categories
3+
Years
Expert
Level
Things I've
built.
EvalAI - AI Assisted Semester Exam Evaluation System
AI-powered semester exam evaluation platform with OCR, LLM-based grading, and teacher review workflows.
Next.jsTypeScriptMongoDBPostgreSQL+3Machine Learning Framework Setup
A comprehensive full-stack machine learning platform with preprocessing pipeline, model training, evaluation, and deployment using Next.js and FastAPI.
Next.jsTypeScriptFastAPI
Scikit-learn+1UniBrain - Comprehensive Educational Management System
A full-scale educational management and LMS platform with multi-role access including students, teachers, department admins, and super admins built using Next.js and PostgreSQL.
Next.jsTypeScriptPostgreSQL
NextAuth+1Maternal Health Risk Predictor
A machine learning-powered healthcare web application that predicts maternal pregnancy risk levels using patient vitals and medical history.
PythonMachine LearningStreamlitTensorFlow+2Community Hub - Data Submission & Validation Platform
A full-stack data submission and moderation platform with automated validation workflows, admin dashboards, and secure authentication built using Next.js and PostgreSQL.
Next.jsTypeScriptPostgreSQLNeon+1Dev Blog &
Insights.
Building Scalable React Applications with TypeScript
Advanced patterns and best practices for maintainable React apps using TypeScript — proper component architecture, state management, and performance optimization.
ReactTypeScriptArchitectureThe Art of Clean Code: Principles Every Developer Should Know
Fundamental principles of writing clean, readable code — naming conventions, function design, and code organization that transforms your workflow.
Best PracticesClean CodeSoftware EngineeringModern CSS Techniques: From Grid to Container Queries
Master the latest CSS features — Grid, Flexbox, Container Queries, and building responsive layouts without media queries.
CSSWeb DesignResponsiveMastering Git Workflows for Team Collaboration
Advanced Git techniques and workflows that streamline team collaboration — branching strategies, conflict resolution, and automation tools.
GitDevOpsCollaborationPerformance Optimization in Modern Web Applications
Secrets of building lightning-fast web apps — bundle optimization, lazy loading, and techniques that significantly improve user experience.
PerformanceOptimizationWeb VitalsThe Future of Frontend Development: Trends to Watch
Emerging frontend technologies and methodologies — what the next generation of web development looks like.
FrontendTrendsFuture TechProof of
Learning.
11
Certs
5+
Categories
2
Platforms
2024–25
Period
Frontend Developer (React)
Proficiency in React.js, focusing on component-based architecture, state management, and JSX.
View CertificateLet's build
something great.
Have a project, a role, or just want to talk tech? Pick a channel and reach out — I respond within 24 hours.
codeml862@gmail.com
Preferred channel · Reply within 24h
Phone
+91 70932 21536
Calls & SMS welcome
Chat on WhatsApp
Instant · End-to-end encrypted
Schedule a Call
Book via Calendly
Pick a time that works for you
Have a project
in mind?
Whether it's an ML system, a full-stack product, or a tough engineering problem — I'm ready to dig in. Let's talk through it.