AI Engineer building production-ready ML systems | YOLOv8 Expert | RAG Architect | Open Source Contributor
📍 Delhi, India | 🎓 B.Tech CSE (AI & DS) @ SRM University | 📧 sanjeevnidhir05@gmail.com
name: Sanjeevni Dhir
role: AI Engineer & Full Stack Developer
location: Delhi, India
education: B.Tech CSE with Data Science and AI
university: SRM University NCR Campus (2023-2027)
career_objective: |
Passionate AI and Data Science undergraduate specializing in
Machine Learning, Deep Learning, and Large Language Models (LLMs).
Building end-to-end AI solutions including Generative AI systems,
RAG pipelines, and scalable data-driven applications.
focus_areas:
- Machine Learning & Deep Learning
- Large Language Models & RAG Pipelines
- Computer Vision & Image Processing
- Generative AI & Prompt Engineering
achievements:
- SmartIndia Hackathon 2025 Grand Finalist (Top 0.1%)
- IBM PBEL Virtual Internship (AI)
- Open Source Contributor (200+ contributions)
- 5+ Production ML Projects
current_stats:
- projects_shipped: 5
- model_accuracy: "95%+"
- github_contributions: "200+"
- certifications: 4
motto: "Turning complex AI research into real-world solutions"
| Skill Category | Technologies | Proficiency | Projects |
|---|---|---|---|
| Machine Learning | scikit-learn, XGBoost, Ensemble Methods | ⭐⭐⭐⭐⭐ | LoanAI, Spam Detection |
| Deep Learning | TensorFlow, Keras, PyTorch, CNNs | ⭐⭐⭐⭐⭐ | VAJRAA, Image Classifier |
| Computer Vision | YOLOv8, OpenCV, Image Processing | ⭐⭐⭐⭐⭐ | VAJRAA Drone System |
| LLM & RAG | GPT, Llama 3, Embeddings, Vector DBs | ⭐⭐⭐⭐⭐ | Research Paper Analyzer |
| NLP | TF-IDF, BERT, Text Classification | ⭐⭐⭐⭐ | DocClassify, Spam Detection |
| Full Stack | React, FastAPI, REST APIs | ⭐⭐⭐⭐ | All Projects |
| Cloud & DevOps | IBM Cloud, Google Cloud, Git | ⭐⭐⭐⭐ | Production Deployments |
| Data Engineering | MongoDB, MySQL, Vector DBs | ⭐⭐⭐⭐ | Data Pipelines |
|
Building intelligent agents that:
Stack: LangChain, Vector DBs, Custom Agents |
Creating next-gen retrieval systems:
Stack: Embeddings, ChromaDB, Pinecone |
Python |
TensorFlow |
Keras |
Scikit-Learn |
YOLOv8 |
🔥 Core ML Capabilities
NumPy |
Pandas |
Matplotlib |
Seaborn |
OpenCV |
FastAPI |
MongoDB |
Node.js |
MySQL |
Postman |
React |
JavaScript |
HTML5 |
CSS3 |
Tailwind CSS |
Bootstrap |
GitHub |
Git |
VS Code |
Jupyter |
Google Cloud |
IBM Cloud |
ChatGPT |
Google Gemini |
Claude |
Llama 3 |
LangChain |
Hardware Edition | Ministry of Education, Government of India
Demonstrated strong problem-solving and analytical thinking while contributing to real-time obstacle detection for autonomous systems
📍 Gunupur, Odisha | December 2025
|
Artificial Intelligence (via FSP) | IBM Key Contributions:
|
| Certification | Issuer | Date |
|---|---|---|
| 🎓 Introduction to Generative AI | Google Cloud | Feb 2025 |
| 🐍 Python 101 for Data Science | SRM (Skills Network) | Jan 2025 |
| 📊 Data Analytics & Visualization Job Simulation | Accenture | Aug 2024 |
| 🐍 Python Certification | GUVI (HCL) | Jul 2024 |
|
April 2025 – September 2025
|
|
|
|
|
|
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95%+ Accuracy in ML models |
Mastered YOLOv8 in 2 weeks |
5+ Production projects |
gantt
title My AI/ML Journey
dateFormat YYYY-MM
section Education
Started B.Tech CSE (AI & DS) :2023-08, 2027-05
section Internships
IBM PBEL AI Internship :2025-07, 2025-08
section Hackathons
SmartIndia Hackathon Grand Finalist :2025-12, 2025-12
section Projects
LoanAI Development :2024-09, 2025-01
VAJRAA Drone System :2025-10, 2025-12
Research Paper Analyzer :2024-12, 2025-02
section Certifications
Google Cloud Gen AI :2025-02, 2025-02
Python for Data Science :2025-01, 2025-01
| Quarter | Focus Area | Target |
|---|---|---|
| Q1 | Advanced LLM Architectures | Build custom LLM agent framework |
| Q2 | MLOps & Model Deployment | Deploy 3+ models to production |
| Q3 | Deep Learning Research | Publish research paper |
| Q4 | System Design & Scale | Build distributed ML system |
 Strong foundation in DSA |
 Scalable architecture design |
 End-to-end ML pipelines |
| 🔬 Learning | 🛠️ Building | 🤝 Collaborating |
|---|---|---|
| Advanced LLM Architectures | Agentic AI Frameworks | RAG Pipeline Optimization |
| Vector Database Optimization | Multi-Agent Systems | Open Source AI Projects |
| Neural Network Innovations | Tool-Using AI Agents | Research Implementations |
| Prompt Engineering Mastery | Computer Vision Apps | ML Community Projects |
I believe in learning in public and giving back to the community
 • Comprehensive project documentation |
 • Active contributor to ML projects |
I'm actively seeking collaborators for:
🤖 AI/ML Projects → Innovative machine learning solutions & research
🔗 RAG Systems → Novel retrieval strategies & vector optimization
🌐 Open Source AI → Contributing to the community
🔬 Research Implementations → Turning papers into production code
|
• Mastered YOLOv8 in 2 weeks |
• 95%+ ML model accuracy |
• Open source contributor |
I'm actively seeking internships and full-time opportunities in:
Available for: Internships (Summer 2026) | Full-time (Post Graduation 2027) | Part-time Projects
Expected Graduation: May 2027 | Notice Period: Negotiable
"The best AI systems don't replace human thinking—
they amplify it, one intelligent agent at a time."
Currently: Building intelligent systems at IBM PBEL | Learning in public | Documenting everything
💌 Email: sanjeevnidhir05@gmail.com
📱 Phone: +91 9310169588
📍 Location: Delhi, India
🌐 Portfolio: github.com/sanju234-san
Response Time: Within 24 hours ⚡