Carbonly
A full-stack carbon footprint estimator with photo-based item recognition. It uses Poore & Nemecek (2018) lifecycle data and UK Government 2026 conversion factors, shows its sources, and adds a carbon sprint game and swap recommendations.
LNRY 530130 422G1
Laxmi Narayan
Full-stack software engineer. I build applications, automate workflows and train models that ship to production.
ROLEFull-stack & ML engineerSTACKPython, JavaScript, Java, C++STATUSOpen to roles, internships, freelanceMAIL1326adarsh@gmail.com
Shipped work
Five systems I've built and shipped, from ML pipelines to real-time apps. Tap a container to open it, then play with what's inside.
WeatherBudLN
An automated pipeline that benchmarks five ML models on real Kaggle weather data, then deploys the top performer through Streamlit with interactive geographic queries. Built during my residential internship at NIT Jamshedpur.
Event Core
A smart stadium platform with a seat finder, food court routing, emergency exit mapping and gate navigation. Fans, VIPs and staff get role-based views, with in-seat food delivery, real-time order tracking and stadium-wide alerts. Semantic HTML5 and CSS3 keep delivery fast.
Razorpay Recon
Built for the Razorpay AI Buildathon, Track 04. A strict Decimal matcher clears exact matches, then an AI agent investigates the rest through a real MCP server. Anything under 90% confidence goes to an honest exception list, and every decision lands in an audit trail.
On Air Guitar
Your webcam becomes a six-string guitar. MediaPipe hand tracking feeds real guitar geometry with correct tuning and fret spacing, and each pluck is synthesized with Karplus-Strong string modeling. It all runs in the browser, so no camera frame leaves your device.
About
Code that ships, from schema to deployment.
Final-year CSE diploma candidate with hands-on experience in automation and applied machine learning. I build applications from database to interface and train models that reach real users.
I integrate Claude, OpenAI and Gemini APIs into real applications and automate document workflows. I do not build toy projects. I build systems that solve problems.
2024 to 2027
Diploma in Computer Science
Government Polytechnic, Bhaga, Sindri. CGPA 4.3 / 5.0, final year. Matriculation from Holy Cross School, Grade A (85%).
Jun to Jul 2025
Python Development Intern
Indian School of Coding. Python fundamentals, scripting and software architecture.
Jun to Jul 2026
Machine Learning Intern
NIT Jamshedpur, residential program. Benchmarked ML models on Kaggle weather data and deployed the best as a Streamlit app with real-time prediction visualization.
Languages
Python, JavaScript, TypeScript, Java, C++, HTML5/CSS3
Backend
Flask, FastAPI, Node.js, REST APIs
ML and AI
scikit-learn, Streamlit, MCP, Claude, OpenAI and Gemini APIs
Workflow
Git, GitHub, Netlify, ReportLab
I do not build for attention. I build for permanence.
Let's talk
Open to full-time roles, internships and freelance projects in full-stack development, ML engineering and workflow automation.
1326adarsh@gmail.com