AI Engineer with less than a year in AI/ML & Full-Stack Development
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Assessing your cultural and operational fit
Computer Science undergraduate with a background in AI/ML and full-stack development. Interested in Generative AI. Focused on applying AI and research to build practical systems.
Dhaka Residential Model College
Higher Secondary Certificate (HSC)
N/A – May 31, 2020
Chittagong University of Engineering & Technology (CUET)
B.Sc. · Computer Science & Engineering
N/A – June 30, 2026
RILO IT & Software Ltd.
Intern
November 1, 2025 – November 15, 2025
India
ML Backend Architecture
June 5, 2026 – Present
Designed a high-speed REST API with FastAPI and PostgreSQL featuring JWT Auth and SQLAlchemy. Implemented strict data validation via Pydantic and secure session management for ML predictions.
View ProjectExplainable AI (XAI) Nuclear Incident Text Summarizer
June 5, 2026 – Present
Built an Explainable AI prototype using DistilBART and Streamlit for nuclear industry reporting. Developed an influence-tracking layer using ROUGE scores to provide auditable summary transparency.
View ProjectVehicle Insurance MLOps Pipeline
June 5, 2026 – Present
Engineered an end-to-end pipeline with MongoDB Atlas, Docker, and AWS (EC2/S3) for model deployment. Automated the lifecycle with GitHub Actions CI/CD, ensuring robust versioning and scalable orchestration.
View ProjectRetail Inventory & Sales Forecasting
June 5, 2026 – Present
Created a forecasting system using XGBoost/LightGBM and time-series feature engineering. Integrated automated supply chain metrics (EOQ/ROP) to optimize reorder points and stock levels.
View ProjectDetecting Hate Speech Related to Caste and Migration with Transformer Models.
ACL Anthology (LT-EDI 2025)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from MLOps pipelines to XAI and forecasting systems, indicates adaptability and a broad interest in various AI applications. Their involvement in competitive events and research publication suggests a drive for continuous learning and innovation, which aligns well with a dynamic tech culture. The academic background and achievements further support a strong work ethic and intellectual curiosity. The target role of AI Engineer aligns well with their demonstrated skills and interests.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive approach through participation in hackathons, competitive programming, and publishing research. Their project descriptions suggest an ability to work on complex problems independently and as part of a team. The focus on practical system building and applying AI to real-world problems indicates a results-oriented mindset. However, the limited professional experience (2-week internship) means operational fit in a long-term, structured environment is yet to be fully proven.