Available for opportunities
Hello, I'm Aavash Lamichhane
Machine Learning Engineer & Full-Stack Developer
Get in Touch
About Me
Who I Am
I'm a Computer Engineering graduate and NEC-certified engineer specializing in machine learning, full-stack development, backend architecture, and database design.
My work spans freight workflow software at Navio and machine learning systems at Dr. Fish, bringing together product development and AI.
What I Bring to the Table
- End-to-end ML model development and deployment
- Scalable backend architectures and APIs
- Efficient database design and optimization
Quick Info
- Location
- Kathmandu, Nepal
- Current Role
- Open to Work
- Education
- BE in Computer EngineeringKathmandu University, Dhulikhel. Graduated May 2026.
- Certification
- NEC-certified engineer
Expertise Areas
Machine Learning & AI
Computer Vision, NLP, Model Deployment
Backend Development
Node.js, Python, RESTful APIs, Microservices
Database & Analytics
PostgreSQL, MongoDB, Data Modeling
DevOps & MLOps
Docker, CI/CD, Model Deployment, Monitoring
Featured Works
A showcase of my most impactful projects
More projects (6)
Technical Stack
Tools & technologies that power my creations
Frontend & Languages
- TypeScript
- JavaScript
- Python
- Next.js
- React
- Tailwind CSS
- Framer Motion
- Shadcn UI
Backend & APIs
- Node.js
- Express
- FastAPI
- Django
- BullMQ
- GraphQL
- JWT Auth
Databases & Storage
- PostgreSQL
- MySQL
- SQLite
- Redis / Valkey
- Prisma
- TypeORM
- Supabase
AI & Data Science
- TensorFlow
- PyTorch
- Hugging Face
- OpenCV
- Pandas
- NumPy
- Scikit-learn
- Jupyter
Infrastructure & Tools
- Docker
- AWS
- Azure
- Nginx
- Postman
- Git
- Linux
- Vercel
- GitHub Actions
Work Experience
Software Engineer
Designed end-to-end automation pipelines for freight workflows at a South Korean startup, alongside the Pontus intelligence platform and internal AI tools.
Designed a freight automation application connecting incoming communications with vessel and cargo matching
Developed maritime intelligence and reporting workflows for Pontus
Built AI-powered document and meeting tools
AI and Backend Engineer
Developed and deployed machine learning models for computer vision and predictive analytics. The company is currently on hold.
Reduced model inference time from 200ms to 120ms
Trained a fish disease detection model to 95% accuracy
Successfully deployed 3 ML models to production
Event Lead
Managed the entire event portfolio for IT MEET 2024, leading a team of 30+ event managers in the design, planning, and execution of over 20 nationwide competitions and workshops.
Successfully organized 20+ events with 1,000+ participants
Supervised a team of 30+ event managers and volunteers
Increased event participation by 25% compared to previous year
Education
Kathmandu University
BE in Computer Engineering
CGPA: 3.88
NEC-certified engineerExam passed October 2026