-NIELIT%20Ropar%20%7C%20Deemed%20University-00D9FF?style=for-the-badge&logo=ai&logoColor=black&labelColor=0A0A0A){kind=icon}
class LovnishVerma:
def __init__(self):
self.role = "Project Engineer (AI/ML)"
self.organization = "NIELIT Ropar (Deemed to be University), Punjab, India"
self.domain = ["AI/ML Engineering", "Research Engineering", "e-Governance AI"]
self.specialization = [
"Generative AI & LLMs",
"Computer Vision & Deep Learning",
"Full-Stack AI Deployment",
"Edge AI & IoT",
"Blockchain Systems"
]
self.tech_stack = {
"ml_frameworks": ["PyTorch", "TensorFlow", "Keras", "Scikit-learn", "XGBoost"],
"llm_stack": ["LangChain", "HuggingFace", "Transformers", "RAG", "LoRA/QLoRA"],
"cv_tools": ["YOLOv8", "OpenCV", "Dlib", "Face Recognition"],
"backend": ["Flask", "Django", "FastAPI", "Node.js"],
"frontend": ["React", "Next.js", "Streamlit", "Gradio"],
"databases": ["MongoDB", "PostgreSQL", "MySQL", "SQLite", "Redis", "ChromaDB"],
"cloud_edge": ["AWS", "GCP", "Docker", "NVIDIA Jetson", "ESP8266"],
"blockchain": ["Ethereum", "Solidity", "Web3.js"]
}
self.impact = {
"students_trained": 800,
"govt_officials_trained": 400,
"publications": 5,
"hackathon_rank": "2nd Runner Up (1,552 teams)"
}
self.contact = "princelv84@gmail.com"
def current_focus(self):
return [
"Production RAG pipelines for institutional knowledge systems",
"LLM fine-tuning and quantization for edge deployment",
"MLOps pipelines with model monitoring and A/B testing",
"Multimodal AI (vision + language) for e-Governance",
"Agentic AI workflows for autonomous decision systems"
]
def collaborate_on(self):
return [
"AI/ML Research (papers, experiments, benchmarks)",
"Open-source ML tools and frameworks",
"e-Governance AI solutions at scale",
"Edge AI and embedded intelligence",
"Blockchain + AI hybrid systems"
]
|
Comprehensive Python, Data Science & Deep Learning Learning Repository
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Professional AI, Data Science & Deep Learning Teaching Resources
|
|
Production CNN-based MRI Analysis System — 95%+ Accuracy
|
Domain-Specific Fine-tuned SLM on Llama-3.2-1B
|
|
Ethereum-based Anti-Forgery Certificate System
|
YOLOv8 Dynamic Signal Optimization + Emergency Detection
|
|
Real-time Face Recognition + Emotion Detection Pipeline
|
NLP Sentence Transformers on Large-Scale Goodreads Dataset
|
|
Ensemble ML for Early Diabetes Risk Assessment
|
Enterprise Nomination & Document Management Platform for NIELIT Chandigarh
|
|
Production ESP8266 Home Automation with OTA Updates
|
Modern WooCommerce Custom Themed E-Commerce Platform
|
|
CUDA-Accelerated Real-time Attendance on NVIDIA Jetson
|
Flask + Gemini AI Resume Scoring with Auto-Shortlisting
|
┌─────────────────────────────────────────────────────────────────┐
│ AI/ML PRODUCTION STACK │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │
│ │ Data │───▶│ Model │───▶│ Deployment │ │
│ │ Layer │ │ Layer │ │ Layer │ │
│ └─────────────┘ └─────────────┘ └─────────────────────┘ │
│ │ │ │ │
│ ┌──────▼──────┐ ┌──────▼──────┐ ┌─────────▼──────────┐ │
│ │ • Pandas │ │ • PyTorch │ │ • Hugging Face │ │
│ │ • NumPy │ │ • TensorFlow│ │ Spaces │ │
│ │ • OpenCV │ │ • Scikit- │ │ • Streamlit Cloud │ │
│ │ • Spark │ │ Learn │ │ • Docker │ │
│ │ • SQL/NoSQL │ │ • YOLOv8 │ │ • AWS/GCP │ │
│ │ • ETL Pipes │ │ • Transformers │ • NVIDIA Jetson │ │
│ └─────────────┘ └─────────────┘ └─────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐│
│ │ LLM & GENERATIVE AI STACK ││
│ ├─────────────────────────────────────────────────────────────┤│
│ │ • RAG Pipelines (ChromaDB/Pinecone + LangChain) ││
│ │ • Fine-tuning (LoRA/QLoRA on Llama/Gemma/Mistral) ││
│ │ • Quantization (GGUF/ONNX for edge) ││
│ │ • Prompt Engineering & Chain-of-Thought ││
│ │ • Multi-modal (Vision + Language) ││
│ └─────────────────────────────────────────────────────────────┘│
│ │
│ ┌─────────────────────────────────────────────────────────────┐│
│ │ BLOCKCHAIN & WEB3 STACK ││
│ ├─────────────────────────────────────────────────────────────┤│
│ │ • Smart Contract Development (Solidity) ││
│ │ • DApp Integration (Web3.js/Ethers.js) ││
│ │ • Certificate Verification (Ethereum) ││
│ │ • MetaMask Authentication Flow ││
│ └─────────────────────────────────────────────────────────────┘│
└─────────────────────────────────────────────────────────────────┘
| # | Research Title | Venue | Year | Status |
|---|---|---|---|---|
| 1 | Design and Evaluation of a DID-Based Accountability Framework for Resource-Constrained IoT Devices | Springer LNNS | 2026 | Accepted |
| 2 | Explainable AI for Web and Text Mining | IJDT | Jan 2025 | Published |
| 3 | Pioneering Advances in AI, Machine Learning, and Big Data Analytics | Springer Book Chapter | 2025 | Published |
| 4 | Blockchain-Based Certificate Verification System: A Decentralized Approach | Springer LNNS | Jul 2024 | Published |
| 5 | IoT-Based Remote Control and Monitoring of Electrical Appliances | IJDT | 2024 | Published |
Research Profiles: ORCID | ResearchGate | Google Scholar
| Metric | Scale | Description |
|---|---|---|
| Students Trained | 800+ | University-level AI/ML under MeitY FutureSkills Prime |
| Govt. Officials Trained | 400+ | e-Governance capacity building under Digital India |
| Live AI Systems | 12+ | Production deployments on Hugging Face, Streamlit, PythonAnywhere |
| Research Papers | 5 | Peer-reviewed publications (Springer + IJDT) |
| GitHub Projects | 150+ | Open-source AI/ML tools and applications |
| Hackathon Performance | Top 3 / 1,552 | Paranox 2.0 National Hackathon — 2nd Runner Up |
| Institutions Served | 19+ | Govt. Polytechnic Colleges under DTE Punjab |
NIELIT Ropar (Deemed to be University) | Dec 2024 — Present
- Architect and deploy AI-powered systems for national e-Governance initiatives
- Design production ML pipelines: data ingestion → training → deployment → monitoring
- Build and maintain REST APIs for model serving at institutional scale
- Research collaboration with senior scientists on cutting-edge AI applications
- Full lifecycle ownership of AI projects from conception to production deployment
Smiling Walls, Chandigarh | Nov 2023 — Aug 2024
- Engineered automated Python data pipelines improving operational efficiency by 40%
- Developed and tested edge AI solutions on NVIDIA Jetson Nano and Orin platforms
- Built analytics dashboards with real-time visualization and reporting
- End-to-end feature development from requirements to deployment
NIELIT Ropar, Punjab | Apr 2023 — Oct 2023
- Developed NLP, computer vision, and predictive analytics models
- Integrated ML models into production web interfaces (Flask, Django, Streamlit, Gradio)
- Contributed to AI capacity-building workshops aligned with Digital India goals
| Degree | Institution | University | Year |
|---|---|---|---|
| B.Tech, Computer Science & Engineering | Green Hills Engineering College | HPTU | 2020 — 2023 |
| Diploma, Computer Engineering | Govt. Polytechnic Sundernagar | HPTECH | 2017 — 2020 |
| Certification | Issuer | Date |
|---|---|---|
| Smart India Hackathon 2025 — Evaluator | Govt. of India & AICTE | Dec 2025 |
| Paranox 2.0 National Hackathon — 2nd Runner Up (1,552 teams) | TechXNinjas | Nov 2025 |
| Certificate of Competency: AI on Jetson Nano | NVIDIA | Nov 2025 |
| Python Developer (~300 Hours) | freeCodeCamp | Feb 2026 |
| Python Essentials 1 | Cisco & OpenEDG | Jan 2026 |
| CyberShikshaa Fundamentals | Microsoft & DSCI | 2025 |
| Platform | Handle | Focus |
|---|---|---|
| 🎥 YouTube | @lovnishverma | AI Engineering deep-dives & tech content |
| ✍️ Medium | @lovnishverma | AI/ML engineering blogs & tutorials |
| lovnishverma | Engineering updates & professional network | |
| 🤗 Hugging Face | lovnishverma | Model demos & ML Spaces |
| 📊 Kaggle | lovnishverma | Data science notebooks |
| 🌐 Portfolio | lovnishverma.in | Projects, blog & research |
| ⚔️ LeetCode | lovnishverma | Algorithmic problem solving |
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🔗 Professional
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💻 Development
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📱 Content
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📧 Email: princelv84@gmail.com | 📞 Phone: +91-8894869371 | 📍 Chandigarh / Ropar, Punjab, India 🇮🇳
🔭 Currently Engineering: Production RAG systems • Edge LLM deployment • Agentic AI workflows
💡 Philosophy: Building frugal, high-impact AI systems that solve real problems at scale.
⭐ Star my repositories if you find them useful — it fuels the build!
