AI Engineer with 1+ years in AI Applications, LangChain & PyTorch
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AI Engineering enthusiast with hands-on experience in building production-grade AI applications, research-oriented projects, and automation systems. Contributed to climate science research through physics-informed foundation model fine-tuning for ENSO forecasting and developed advanced chatbot systems using LangGraph and hybrid retrieval. Proven track record in developing AI-powered solutions using LangChain, FastAPI, PyTorch, and multi-agent frameworks. Strong foundation in competitive programming with 800+ problems solved across LeetCode and Codeforces.
Shanto-Mariam University of Creative Technology
B.Sc. · Computer Science & Engineering
N/A – Present
Grayscale Technologies
AI Engineer
May 1, 2026 – Present
India
RIMES (Regional Integrated Multi-Hazard Early Warning System)
AI Research Intern
February 1, 2026 – April 1, 2026
Dhaka, Dhaka Division, Bangladesh
BD Stall
Junior AI Engineer
June 1, 2025 – January 1, 2026
Dhaka, Dhaka Division, Bangladesh
AI ToolBox
January 1, 2025 – December 31, 2025
Developed a comprehensive suite of AI-powered productivity tools with an intuitive Streamlit frontend for everyday use cases. Integrated multiple LLM providers (Gemini, Groq) with intelligent routing and fallback mechanisms for improved reliability and cost optimization. Implemented a modular architecture enabling easy addition of new AI tools and services with minimal code changes.
View ProjectBDStall RAG Chatbot
January 1, 2025 – December 31, 2025
Developed a real-time web crawler for BDStall.com implementing a RAG architecture for intelligent product inquiry and recommendation. Implemented LangChain orchestration with Groq API for efficient LLM-powered responses with context-aware product information retrieval. Designed a vector database indexing strategy for fast semantic search across the product catalog with incremental updates and cache invalidation.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from climate science research to e-commerce chatbots and moderation systems, indicates a broad interest and adaptability. Their involvement in competitive programming and open-source contributions (implied by GitHub links) suggests a collaborative and growth-oriented mindset. The roles held, including AI Engineer and AI Research Intern, align well with an AI Engineer target role, demonstrating a consistent career trajectory in AI.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive approach through personal projects and contributions to research. Their experience with diverse tools and frameworks suggests adaptability and a willingness to learn new technologies. The ability to work in both research and production environments indicates a balanced operational fit.