Alaap Dhall

About Alaap Dhall

As a Senior AI Engineer with 5+ years of experience, I design and deploy cutting-edge computer vision (CV) and LLM-based AI solutions, driving automation and efficiency in warehouse and logistics operations.I lead end-to-end development of AI models, fine-tuning architectures like YOLO, Vision Transformers, and Deformable DETR, and optimize real-time edge deployments using techniques like QAT on Jetson devices. My expertise spans multi-camera tracking systems, retrieval-augmented generation (RAG) models, and generative augmentation techniques with SAM2.Proficient in frameworks like PyTorch, TensorRT, and TensorFlow, I develop multi-label classifiers, depth-based solutions with OAK-D cameras, and scalable AI pipelines. Beyond work, I’ve founded an ML community reaching thousands and created a repository of 100+ open-source AI projects. I’m currently exploring RAG systems and LangChain to bridge AI and large-scale data analysis.Skills: Computer Vision (OCR, tracking systems, object detection) Deep Learning (Vision Transformers, YOLO, LSTMs) NLP (BERT, GPT-3/4, LangChain) Edge AI Optimization (TensorRT, ONNX) AI Pipeline Automation & Collaboration

Experience

1. Senior Ai Engineer

   KoiReader Technologies

   Jan 2024 — Present

   Developing multi-agentic RAG applications using open-source Vision LLMs such as CogVLM2, Llama 3.2, Qwen 2.5 to analyze and query SQL databases and provide Executive level summaries. Leveraging techniques such as Re Ranking, Semantic chunking, and Parseq OCR, achieving over 90% accuracy in PDF document analysis.

Education

• Amity University

  Bachelor of Technology (BTech)

  2015 — 2019

Skills

• Javascript
• Android Studio
• Java
• Visual Studio
• Leadership
• Copywriting
• Web Design
• Android Development
• Public Speaking
• Unity3d
• Ruby on Rails
• Web Development