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AI Research Engineer with 4+ years in AI evaluation, technical support & product operations.
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AI product specialist with 4+ years of experience spanning AI evaluation, technical support, and product operations. I bridge the gap between AI capabilities and real-world usability helping users get value from AI tools while identifying patterns that improve product quality. Through this, I've built practical experience in data handling, trend analysis, and reporting using tools like SQL and Python, with a strong focus on accuracy and actionable insights rather than surface-level reporting.
Northern University of Business and Technology, Khulna
B.Sc. Computer Science & Engineering · Computer Science & Engineering
August 1, 2022 – June 30, 2026
RWS Group
AI Data Annotator & LLM Evaluator
September 1, 2025 – Present
India
ASAP Tickets (ITA)
Operations Specialist
April 1, 2024 – August 1, 2024
Delaware, USA
bdapps / Robi
Android Developer & She Squad Leader
May 1, 2023 – Present
Dhaka, Dhaka Division, Bangladesh
Vision Cables
Technical Support Lead & Infrastructure Manager
May 1, 2020 – October 1, 2023
NY, USA
Raccoon Mode - AI Companion App
June 1, 2026 – Present
Production iOS & Android app - habit tracking, journaling, mood system, AI-generated recommendations, push notifications. Integrated Claude API with prompt-engineered system instructions that analyse user behaviour and personalise suggestions. Architecture: Riverpod state management, Firestore real-time sync, Firebase Auth, FCM, Hive local storage, GoRouter.
BloodBank - Real-Time Donor Matching
June 1, 2026 – Present
Two-sided app shipped in 2 days real-time SOS blood matching, donor tracking, medical history, eligibility calculations, donors profile matching via cross data analysis and real time update on sending and approving requests for donation.
Personal AI Ops Dashboard
June 1, 2026 – Present
Analytics tool tracking annotation quality metrics and personal productivity built for my own workflow. Used pandas for data aggregation, SQL for querying, python for analyzing and visualization.
SecureVision -Face Recognition
June 1, 2026 – Present
97% authentication accuracy via threshold tuning and anomaly detection on real-world image datasets.
Lazy Daisy - Lifestyle & Habit App
December 1, 2025 – Present
Designed and built solo over 6 months - full commercial app heading to the Play Store, targeting students and young professionals. Habit tracking with XP, streaks, difficulty levels, mood journal with habit-mood correlation engine, expense tracker, AI Habit Coach powered by Gemini API, cycle tracker, birthday calendar. End-to-end product ownership: system architecture, UI/UX, Gemini API integration, Firebase backend, Play Store submission entirely solo.
IBM Data Science Foundations Level 1
IBM
June 1, 2026 – Present
EDGE by (ICT Division)
ICT Division
June 1, 2026 – Present
Appstick - Flutter Internship
Appstick
June 1, 2026 – Present
Microsoft AI Series
Microsoft
May 1, 2026 – Present
The candidate scored 88% on the 'Data Scientist — Artificial Intelligence' test, indicating a strong grasp of the subject matter and related skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for an innovative and collaborative environment, particularly through their leadership in developer communities and mentorship activities. Their diverse project portfolio, including several AI-focused applications, demonstrates initiative, a passion for technology, and a continuous learning mindset. The emphasis on 'bridging the gap between AI capabilities and real-world usability' aligns well with a product-oriented AI research role. Their experience in remote roles also suggests adaptability and self-management.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills through their 'She Squad Leader' role, fostering community and guiding aspiring developers. Their experience as a Technical Support Lead highlights problem-solving, documentation, and user-centric thinking. The 'AI Data Annotator & LLM Evaluator' role emphasizes attention to detail, quality assurance, and the ability to translate findings into actionable recommendations, all critical for operational excellence in an AI research environment. The psychometric test score is moderate, suggesting potential areas for development in logical reasoning or stress handling, but the project work indicates a proactive and self-driven attitude.