Senior AI Engineer · Recommendation Systems · Applied Deep Learning Senior Software Engineer @ Foodi Express Limited Former Senior Software Engineer @ BJIT Limited B.Sc. in CSE @ CUET · MSc in Data Science @ UIU (Ongoing)
Bio
I am Md Aminul Haque Palash, a Senior AI Engineer based in Dhaka, Bangladesh. I build production machine learning systems across recommendation, forecasting, conversational AI, edge inference, and multi-agent applications.
I currently work at Foodi Express Limited, where I develop personalized food and branch recommendations, delivery-time estimation, demand forecasting, and scalable data infrastructure for a large food delivery platform.
Previously, I spent more than six years at BJIT Limited building AI products for travel, food, mobile, and conversational experiences. My work included a LangGraph-based travel assistant, an on-device recommendation system, and an AI travel diary for iOS.
Building personalized food and branch recommendations, DeepETA delivery estimation, demand forecasting, scalable data pipelines, and low-latency APIs for a large food delivery platform.
RecommendationsForecastingData Infrastructure
Oct 2019 Jan 2026
BJIT Limited
Senior Software Engineer
Dhaka, Bangladesh
Designed and shipped AI products across travel, food, mobile, and conversational experiences, including a multi-agent travel assistant, personalized suggestions, edge recommendation systems, and a Rasa chatbot.
Contributed to applied AI research and supported the development of machine learning solutions as a volunteer research lead. This work included Bangla NLP, clinical AI, speech AI, computer vision, and research publications across image captioning, text-to-image generation, graph neural networks, plant disease detection, and brain tumor segmentation.
AI Research5 Publications140+ CitationsVolunteer
Teaching and Mentoring
Dec 2024 Jan 2026
BJIT Academy
AI Engineer Trainer
Dhaka, Bangladesh
Mentored engineers in deep learning, RNNs, LSTMs, GRUs, Transformers, NLP, generative AI, and responsible AI practice.
Deep LearningTransformersMentoring
Highlights
01Foodi / Platform Scale
Building intelligence for everyday Bangladesh
Foodi is a US-Bangla Airlines concern and an online food delivery platform operating across Bangladesh, connecting customers with more than 5,000 restaurants and 2,000 riders.
As a Senior Software Engineer, I work with millions of users and millions of daily interaction data points across food delivery and Foodimart grocery experiences, turning that scale into better discovery, forecasting, and delivery decisions.
RecommendationsDeepETADemand forecastingFoodimart
02Research / Impact
140+
Research that travels beyond the lab
Five peer-reviewed publications across Bangla NLP, computer vision, medical AI, and generative models, with 140+ Google Scholar citations, an h-index of 5, and an i10-index of 5.
03Engineering / Mentoring
7+
Years turning ideas into systems
From multi-agent travel assistants and edge AI to production APIs and scalable pipelines, I also mentor engineers in deep learning, Transformers, NLP, generative AI, and responsible AI.
Personal Interests
Beyond the model
I enjoy understanding how technical systems meet real people and real constraints. That curiosity leads me toward product thinking, system design, research reading, and mentoring engineers.
Outside day-to-day engineering, I make time for:
Exploring new ideas in artificial intelligence and data science
Reading research papers and following emerging AI methods
Teaching, mentoring, and helping others build strong foundations
Thinking about the social impact and responsible use of technology
The best work, for me, sits where deep technical craft meets useful human outcomes.
Projects
Personalized Food Recommendation
Built recommendation systems for menu items and branch suggestions using millions of order and user interaction records, improving relevance and discovery across the platform.
PythonRecommender SystemsRankingBig Data
DeepETA and Demand Forecasting
Developing food preparation and delivery-time estimation models using historical order trends, restaurant workload, and peak-hour traffic. Also designing demand forecasting for inventory and rider planning.
Time-SeriesForecastingPythonDeep Learning
Multi-Agent Travel Assistant
Designed a modular LangGraph and LangChain system for personalized travel planning, integrating search, routing, and weather APIs for dynamic recommendations.
LangGraphLangChainPythonAPIs
Edge AI Food Recommendation
Engineered an offline Android and iOS recommendation system with ONNX Runtime and RNN-based sequential models. Achieved 88% food-type prediction accuracy and an 81% Top-5 recommendation hit rate.
ONNX RuntimeAndroidiOSRNN
AI Travel Diary
Built an iOS application that generates personalized travel diaries from activity data, handling more than 10,000 daily background events and reducing manual input by around 90% in internal testing.
iOSSwiftBackground ProcessingNLP
Conversational AI Chatbot
Worked on a Rasa-based assistant with intent classification, entity extraction, dialogue management, REST APIs, and context-aware responses.
RasaNLUDialogue ManagementREST APIs
Publications
5
Publications
140+
Citations
5
h-index
5
i10-index
2023
Incongruity Detection between Bangla News Headline and Body Content through Graph Neural Network
Springer Nature SingaporeProceedings of IC4IR
2022
Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network
Springer Nature SingaporeInternational Conference on IC4IR
Device-Friendly Guava Fruit and Leaf Disease Detection using Deep Learning
Springer Nature SwitzerlandInternational Conference on MIET
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis
ICCIT25th International Conference on Computer and Information Technology
2021
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network
