Software Engineer (AI/ML)
AI Solutions USA, New York, USA [Jun 2025 - Present]
- Designed a multi-agent orchestration framework with CrewAI, Instruct, and Agno to orchestrate AI agents for collaborative task execution.
- Preprocessed the data with Pandas and Numpy, implemented Chunking techniques, Indexing, and vectorizing with embedding models and RAG-Techniques.
- Gained Proficiency in NoSQL (MongoDB) and Vector DBs (Lancedb, Qdrant, Milvus) and Production-Grade FastAPI development.
AI Researcher & Senior Deputy Assistant Director
Walton Hi-Tech Industries PLC, Dhaka, Bangladesh [Apr 2025 - Present]
- Developed a fully local AI-based knowledge-base and chat system using open-source AI models and Langchain and LangGraph with a Corrective-RAG pipeline, trained on internal data.
- Developed a Long-term memory system for any Conversational AI.
- Developed an AI-based Real-time on-device Speech Recognition and Transcription system utilizing whisper.cpp and Open-sourced LLM models.
- Implemented distributed and Parallel GPU training and inference capability of NVIDIA GPU with PyTorch, CUDA programming and llama.cpp.
- Finetuned LORA Adapters, Developed GPT-2-based Small language model with 20M and 30M parameters with function-calling capability.
Data Engineer
Outlier AI, Remote [Oct 2024 - Feb 2025]
- Curated around 22GB of English to Bangla translated and Question Answering text.
- Gained hands-on experience in developing datasets to train transformer-based and AI models.
- Gained extensive knowledge regarding data curation and the importance of quality data for training AI models.
Software Engineer Intern
Riseup Labs [Jun 2023 - Jul 2023, Uttara, Dhaka]
Details: Gained experience on Software development life-cycle. Got proficient with Linux, Bash, Google Cloud Platform, VM and Cloud Run Deployment. Introduction to Big Data analysis using Hadoop and Spark.
AI/ML Engineer Intern
Sheikh Kamal IT Business Incubator, CUET [Jun 2022 - Jul 2022, Chittagong]
Details: Developed Machine Learning algorithms like Regression and Classification, SVM, Neural Networks like CNN, TextCNN, RNN. Implemented Computer Vision concepts like Model Fusion, Image Color Conversion, CNN with sequential API and functional API. Implemented Natural Language Processing models like LSTMs and Pretrained Word Embeddings like Word2Vec, Glove, FastText.