Sojib Mustafiz

Assistant Manager - Artificial Intelligence & Data Science

Nitol Niloy Group • Vollzeit

Feb 2022 - Present • 4 yrs 5 mos

• Architected and deployed production AI systems including NLP pipelines for text classification, summarization, and information extraction • Designed and implemented RAG architecture for intelligent document QA systems with custom chunking strategies and semantic retrieval optimization • Integrated and fine-tuned LLMs (OpenAI GPT, Gemini) using LangChain and prompt engineering for Bangla and English language AI chatbots with voice assistant capabilities • Engineered multi-source data pipelines ingesting from APIs, databases, and document files (PDF, DOCX, Excel) with data quality assurance and versioning • Developed and optimized vector database solutions (PostgreSQL) for semantic search and similarity matching in production environments • Built scalable REST APIs exposing AI capabilities to web frontend applications; achieved sub-200ms response times • Implemented deep learning computer vision solutions for CCTV-based suspicious activity detection using TensorFlow and OpenCV • Led face recognition attendance system using transfer learning and convolutional neural networks deployed across enterprise infrastructure • Conducted R&D on advanced AI applications: HR recruitment automation, sales forecasting dashboards, and recommendation engines

Senior Software Engineer - AI Team

LEADS Corporations Limited • Vollzeit

Feb 2019 - Jan 2022 • 2 yrs 11 mos

• Developed full-stack Python applications (Django, Flask) for IoT and retail solutions with REST API backends • Conducted research on data science applications: sales forecasting using time-series analysis (ARIMA, Prophet) with 85%+ accuracy • Implemented deep learning models for image processing and face recognition using TensorFlow and OpenCV • Engineered multi-source data pipelines: integrated REST APIs, databases, and IoT devices; processed and transformed data for analytics • Developed smart retail tracking and asset management systems with real-time RFID reader integration