Alaap Dhall

AI Researcher

Gurugram, Haryana, India6 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in computer vision and AI model deployment.
Founded an ML community with thousands of members.
Developed over 100 open-source AI projects.

Stackforce AI infers this person is a Senior AI Engineer specializing in Computer Vision and AI solutions for logistics and automation.

Contact

alaapdhall79@gmail.com LinkedIn

Skills

Core Skills

Retrieval-augmented Generation (rag)Computer VisionDeep LearningData SciencePython

Other Skills

Android StudioApache SparkApplied Machine LearningArtificial Intelligence (AI)Artificial Neural NetworksC (Programming Language)Convolutional Neural Networks (CNN)Data AnalysisData AnalyticsData VisualizationDecision TreesDesktop GUI developmentEdge devicesExtract, Transform, Load (ETL)Fast AI

About

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

6 yrs 5 mos

Total Experience

3 yrs 2 mos

Average Tenure

5 yrs 7 mos

Current Experience

Koireader technologies, inc.

3 roles

Senior AI Engineer

Jan 2024 – Present · 2 yrs 5 mos · Remote

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.

Retrieval-Augmented Generation (RAG)Vision LLMsSQLPDF document analysisRe RankingSemantic chunking+2

AI Engineer

Promoted

Jan 2023 – Present · 3 yrs 5 mos · Remote

Enabling Warehouse and Logistics Automation through Advanced AI Engineering Techniques:
Facilitating the optimization of deep learning-based object detection and tracking algorithms tailored to specific use cases. Directing a team towards the successful training of complex computer vision and natural language processing models.
Developing customized segmentation/detection heads to enable faster inference on edge devices.
Employing pruning, quantization, and compilation techniques to enhance the efficiency of deep learning models for edge devices.
Emphasizing the utilization of edge device-friendly libraries and models, such as NvidiaTAO, TensorRT, Torchscript, etc.
Integrating transformer-based architectures into convolutional neural network modules to incorporate temporal information and enable optical character recognition (OCR) capabilities.

Deep learningObject detectionTracking algorithmsSegmentation headsEdge devicesNvidiaTAO+6

Computer Vision Engineer

Nov 2020 – Jan 2023 · 2 yrs 2 mos · Remote

Ai unquote

Data Science Content creator

Jul 2020 – Aug 2021 · 1 yr 1 mo

Working on building 100 projects in Data Science, Machine Learning, and Deep Learning! All the projects are Freely Available on the website for anyone who wants to learn and grow! https://www.aiunquote.in

Vidooly

Data Scientist

Sep 2019 – Jul 2020 · 10 mos · Noida Area, India

Worked on advanced computer vision and data Science techniques to solve real world data science problems like:
Oriented Object Detection from camera footage.
Classification of videos and Images with task related complexities, forcing to find a unique solutions to the Data science problem by preprocessing data.
Use DeepStream, TensorRT, and other DL libraries for Edge Devices Machine Learning models (Jetson Nano, Raspberry Pi) ML models
Used statistics, predictive modelling, and other techniques to do analysis on Youtube videos and make Machine Learning models.

Computer VisionData ScienceDeep LearningPredictive modelingStatistics