Building AI systems that work in production — not just notebooks.
Gaganjot Singh is the lead AI Developer at Grow2Grab, Jalandhar. With an MTech in Artificial Intelligence and IEEE Standard published research to his name, he brings both academic depth and real-world engineering experience to every project and training session.
Over 4+ years, he has designed and shipped ML models, Generative AI applications, multi-agent systems, and computer vision pipelines for clients across India, the UK, and the USA. His work spans churn prediction models, LLM-powered assistants, RAG document systems, YOLO-based detection, and full-stack AI-integrated web applications.
At Grow2Grab, he trains the next generation of AI developers — teaching the same techniques and tools he uses every day on live client projects.
What Gaganjot builds & teaches.
Machine Learning & Deep Learning
- Supervised & Unsupervised ML
- Neural Networks
- Model Training & Evaluation
- MLOps & Deployment
Generative AI & LLMs
- LLM Fine-Tuning
- RAG Pipeline Development
- Prompt Engineering
- AI Chatbots & Assistants
AI Agents & Automation
- Multi-Agent Frameworks
- LangChain & LangGraph
- n8n Workflow Automation
- Tool-Calling & Memory Systems
Computer Vision
- YOLO Object Detection
- OpenCV
- Image Classification
- Real-Time CV Systems
AI Application Development
- Next.js + AI Integration
- OpenAI & Gemini APIs
- Vector Databases (Pinecone, Weaviate)
- Full-Stack AI Products
Want to learn AI from someone who builds it?
Join Grow2Grab's AI training programs in Jalandhar — live sessions, real projects, direct mentorship from Gaganjot and the team.