About
AI/ML Engineer with 3+ years building production-grade intelligent systems and 5+ years of professional Python development. I work at the intersection of cutting-edge research and real-world deployment — from Quantum Machine Learning and Computer Vision to Generative AI and MLOps. I also lecture in Electronics & Computer Engineering, mentoring the next generation of AI practitioners.
AI/ML Engineer & Data Scientist
Building intelligent systems that solve real-world problems — from medical imaging AI to production LLM pipelines and quantum-classical hybrid architectures.
- Email: shivshankarsahbex@gmail.com
- GitHub: github.com/shivs3
- City: Nepal (Remote Worldwide)
- Degree: B.E. Electronics & Computer
- Python Exp: 5+ Years
- AI/ML Exp: 3+ Years
- Kaggle: kaggle.com/shivshankarsah
- Freelance: Available
My north star is building AI that's not just impressive in a demo, but genuinely transformative in production. I've shipped systems spanning Computer Vision, NLP, Generative AI, and Quantum ML — and I bring the same rigour to teaching that I apply to engineering.
Facts
Numbers that reflect years of engineering, research, and education across the AI/ML landscape.
AI/ML Projects delivered end-to-end
Students Mentored through AI/ML projects
Research Papers published & under review
Kaggle Competitions with top-ranking results
Skills
A deep technical stack built over years of production AI engineering, research, and development across the full ML lifecycle.
Resume
3+ years in AI/ML engineering, 5+ years of Python development, active researcher in Quantum Machine Learning, and a lecturer shaping the next generation of engineers.
Summary
Shiv Shankar
Results-driven AI/ML Engineer with deep expertise in building production-grade intelligent systems across Computer Vision, NLP, Generative AI, and Quantum Machine Learning. Passionate researcher, educator, and open-source contributor.
- Nepal — Available for Remote Worldwide
- shivshankarsahbex@gmail.com
- github.com/shivs3
Education
M.Sc. in Computer System and Knowledge Engineering
2022 AD
Specialized in signal processing, embedded systems, and computer science fundamentals. Final-year thesis: Quantum Transfer Learning for Brain Tumor Segmentation.
Research
Quantum Transfer Learning for Brain Tumor Segmentation
2023
Published Research Paper
Novel quantum-classical hybrid architecture for MRI-based brain tumor segmentation achieving state-of-the-art performance.
Biodiversity Monitoring via Acoustic Deep Learning
2023
Under Review
CNN-based spectrogram analysis for passive acoustic wildlife monitoring deployable on edge devices.
Professional Experience
AI/ML Engineer
2021 – Present
Freelance & Consulting
- Built end-to-end AI/ML systems for clients across healthcare, fintech, and sustainability
- Designed and deployed Computer Vision, NLP, and Generative AI production systems
- Architected MLOps pipelines using MLflow, DVC, Docker, and GitHub Actions
- Developed LLM-powered applications using LangChain, HuggingFace, and RAG architectures
Lecturer — Electronics & Computer Engineering
2022 – Present
Academic Institution, Nepal
- Delivered courses in AI fundamentals, ML algorithms, and Python programming
- Mentored 200+ students on AI/ML final-year projects
- Designed curriculum bridging academic theory and industry practice
AI Researcher — Quantum Machine Learning
2022 – Present
Research Lab
- Investigating quantum-classical hybrid approaches for medical image analysis
- Published on quantum transfer learning applied to brain tumor segmentation
- Working with PennyLane and Qiskit for quantum circuit design
Projects
Production-ready AI systems, research implementations, and full-stack applications spanning the complete ML lifecycle.
- All
- ML / DL
- Computer Vision
- NLP / LLM
- Research
Services
End-to-end AI/ML solutions — from initial research and prototyping through to production deployment and maintenance.
AI/ML Engineering
Design and deployment of custom machine learning models — classification, regression, clustering, time-series, and reinforcement learning — optimised for your specific use case.
Computer Vision
Object detection, image segmentation, face recognition, OCR, and real-time video analytics using state-of-the-art architectures like YOLOv8, U-Net, and Vision Transformers.
NLP & LLM Applications
RAG systems, chatbots, document intelligence, text classification, named entity recognition, and custom fine-tuned LLMs using HuggingFace and LangChain.
MLOps & Automation
Full CI/CD pipelines for ML: experiment tracking, model versioning, automated testing, containerisation, and cloud deployment on AWS and GCP.
Data Science & Analytics
End-to-end data analysis, feature engineering, statistical modelling, and interactive dashboards using Pandas, Seaborn, Plotly, and Power BI.
AI Training & Mentoring
Customised AI/ML training programmes, workshops, and one-on-one mentoring for individuals, teams, and institutions — from beginner Python to advanced deep learning.
Testimonials
What students, clients, and research collaborators say about working with me.
Shiv Sir's teaching style is exceptional. He breaks down complex ML concepts into digestible pieces and his hands-on approach helped me land my first AI engineering role.
Arjun Sharma
Final Year Student
Working with Shiv on our AI recommendation engine was transformative. He delivered a production-ready system in record time with exceptional accuracy.
Priya Patel
Startup Founder
Shiv's quantum ML research demonstrates remarkable depth. His ability to bridge theoretical quantum computing with practical applications is truly impressive.
Dr. Meera Joshi
Research Collaborator
The MLOps pipeline Shiv architected for our team became our production standard. His understanding of the full ML lifecycle is unmatched.
Rahul Desai
MLOps Engineer
Shiv built our computer vision pipeline from scratch and it now runs at 60 FPS in production. Genuinely one of the most skilled engineers I've worked with.
Sanjay Kumar
CTO, Tech Startup
Contact
Have a project, research opportunity, or want to connect? I'd love to hear from you. I'm open to AI/ML engineering roles, freelance projects, and research collaborations.
Location:
Nepal — Available for Remote Worldwide
Open to AI/ML roles, freelance projects & research collaborations