CV

Professional Summary

AI/ML, security, and iOS software engineer with experience across fintech mobile applications, secure authentication, payment flows, identity verification, LLM-based OCR, RAG systems, CoreML, cloud data security, and blockchain-based access control. Open to selected iOS, AI/ML, LLM, RAG, fintech, OCR, liveness, and mobile security projects.

Education

New Jersey Institute of Technology (NJIT)

Master of Science in Computer Science | Newark, NJ, USA | Jan 2023 - Dec 2025
GPA: 3.92/4.0
Thesis focus: Cloud Data Security, Advanced Machine Learning, and Blockchain
Coursework: Data Structures and Algorithms, Cryptography, Big Data, Machine Learning, Advanced Machine Learning, Trusted Computing and Architecture.

Rajshahi University of Engineering and Technology (RUET)

Bachelor of Science in Computer Science and Engineering | Rajshahi, Bangladesh | Jan 2015 - Aug 2019
GPA: 3.48/4.0
Coursework: Computer Security, Data Structures and Algorithms, Data Mining, Neural Networks, Database Systems, Software Engineering.

Experience

Chakrie.com - Engineering Manager, Consultant

Jan 2026 - Ongoing

Led engineering planning and development for the Chakrie.com platform.
Managed task prioritization, code review, deployment, and issue resolution.
Collaborated with business and product teams to improve reliability and user experience.
Tech stack: AI Agent, LLM, Python web, VPS, AWS, PostgreSQL, iOS, Android.

KONASL - Software Engineer II, AI/ML, Security, iOS

Apr 2026 - Ongoing

Built an iOS NID capture framework with real-time guidance and LLM-based OCR extraction.
Designed secure liveness, compliant data handling, and scalable GPU-backed inference.
Led testing, API integration, production deployment, and documentation.
Developed and maintained iOS features for a large-scale fintech mobile app.
Integrated secure authentication, payment flows, and REST API-based backend services.
Improved app stability, performance, and user experience through debugging and optimization.
Tech stack: LLM, Swift, MVVM/MVVM-C, REST APIs, iOS, AWS.

New Jersey Institute of Technology - Graduate Teaching Assistant

Jan 2023 - Dec 2025

Assisted with course logistics, materials, announcements, grades, and student questions.
Supported students with problem solving, coding, and debugging.
Held office hours and provided timely feedback by grading assignments, projects, quizzes, and exams using clear rubrics.

Optimizely - Software Engineer II, iOS

Sep 2022 - Dec 2022

Delivered a B2B commerce mobile application.
Collaborated with analysts to ensure compliance and secure architecture.
Supported testing, documentation, and user support.
Tech stack: iOS, Xamarin, C#.

UAPY, UCB Fintech Company Ltd. - Software Engineer, iOS

Jul 2021 - Aug 2022

Developed a financial services app with more than 1M active customers.
Integrated strong authentication and secure payment protocols.
Integrated ML-based face detection.
Implemented cryptographic data protection mechanisms for user transactions.

Brain Station 23 - Associate Software Engineer, iOS

Sep 2019 - Jul 2021

Worked on secure banking applications including Citytouch, UNET Enterprise Banking, UCB One, AB Direct Internet Banking, and Modhumoti Digital Banking.
Refactored Citytouch code with enhanced encryption for secure transactions.
Rewrote around 40 percent of an Objective-C codebase to improve stability and scalability.
Implemented secure transaction flows, custom authentication modules, REST API integration, MVVM/MVVM-C architecture, and XIB-based custom UI components.
Tech stack: Swift, Objective-C, MVVM/MVVM-C, REST APIs, WebRTC, WebSocket.

Research Projects

Predicting ED Patient Outcomes (MIMIC-IV ED), NJIT

Jan 2024 - Dec 2024

Built an end-to-end ML pipeline to predict emergency department patient mortality using MIMIC-IV data.
Performed data cleaning, feature engineering, and cohort clustering with PCA and K-Means.
Trained and benchmarked classifiers, selecting Random Forest with approximately 97 percent accuracy.
Addressed class imbalance with SMOTE and used SHAP for model interpretability.

Retrieval-Augmented Generation (RAG) System

Dec 2025

Built a local RAG pipeline using Ollama, Llama 3.1 8B, and FAISS vector search.
Implemented PDF/TXT/MD ingestion, text chunking, and semantic retrieval with nomic-embed-text embeddings.
Developed a FastAPI service for context-aware question answering using retrieved documents.

Blockchain-Based Access Control System, NJIT