• Developed ETL pipelines for T-MSIS and health-plan data using Airflow, Databricks, and PySpark.
• Built automated data validation pipeline in Databricks using PySpark, SQL, and cross-file checks.
• Ran data quality profiling, error logging, and maintaining 99.5% accuracy on Medicaid datasets.
• Validate datasets for HIPAA, CMS-0057, and CMS-9115 compliance and proper PHI handling.
• Apply HL7 and interoperability rules to standardize data elements and maintain system compatibility.

• Developed and maintained .NET applications using C#, implementing UI/UX features to enhance user experience.
• Assisted in frontend development and created responsive interfaces, following best practices for UI/UX design.
• Participated in code reviews and collaborated with senior developers to ensure code quality and maintainability.

• Prepared course materials, facilitated lab sessions, and guided 60+ students on coursework and projects in 3 sections-Introduction to Programming (C, C++), Systems Programming, & Data Structure.
• Conducted 10+ hours of lab classes/week to deliver complex concepts through hands-on practice and interactions.
• Graded 20+ assignments and exams and provided feedback to support student learning and growth each semester.

• Implemented a comprehensive feature with 8+ frontend views and 5+ reports, including passbook audit for micro-loans reducing audit time by 80%.
• Developed 10+ PL/SQL stored procedures for business validations and report generation.
• Led a team of 4 to automate metadata entry for 50+ screens using UiPath to reduce data migration time by more than 70%.
• Generated 10+ standalone and consolidated reports with Jasper Reports while writing unit tests to ensure more than 95% coverage for module functions.
• Analyzed business requirements, performed requirement gathering, and prepared DSD and RSD, creating use cases and user manuals to enhance documentation quality by 30%.
• Fixed 50+ bugs in both frontend and backend, adhering to CMMI 5 standards within Agile and Waterfall methodologies.
• Utilized accounting knowledge to improve micro-finance processes including loan sanction, disbursement, repayment, and write-off, increasing process efficiency by 40%.

• Provided instructional support in programming courses- C, OOP (C++), Computer Architecture, and Database Systems.
• Assisted in developing and revising course materials, including lecture slides, and lab practice questions.
• Published final grades of 100+ students by maintaining records, tracking student performances, and submissions.
• Conducted review sessions to help students consolidate their knowledge and improve their test-taking strategies.

Master's Project: Repository Blockchain for Collaborative Blockchain Ecosystem

Relevant Coursework: Intro to Computation Theory, Advanced Algorithms, Intro to Data Mining, Machine Learning, NLP, Information Retrieval, Advanced Database, Cloud Computing, Software Engineering, Design Automation, Intro to Quantum Computing

BSc Project: Scientific paper peer-reviewing system with blockchain, IPFS, and smart contract

Relevant Coursework: Data Structures, Algorithms, Operating Systems, Computer Architecture, Compiler Design, Software Engineering, Database Systems, Advanced Database, SQA, Machine Learning, Data Mining, Computer Networks, Microprocessors

Google Scholar Citations: Init...

1. DJournal: A blockchain-based scientific paper review system with a self-adaptive reviewer selection sub-system (2021)
2. Automatic Acute Lymphoblastic Leukemia Detection and Comparative Analysis from Images (2019)
3. Scientific Paper Peer-Reviewing System with Blockchain, IPFS, and Smart Contract (2019)

Implements a repository blockchain to demonstrate the traversal of a fork tree using Node.js, Solidity, and Ethereum including smart contracts and several port configurations to simulate shared governance in blockchain networks.

Designed for diabetic self-education, integrating chatGPT API to generate customized motivational messages based on the user response.

Designed to deliver packages from person to person, implementing message queue and Twitter API.

Contains one-page summaries of 21 impactful papers in Natural Language Processing (NLP).

Developed a machine learning model to predict ventilator pressure using a combination of linear regression, Lasso regression, and decision tree regression techniques.

Implemented the Selective Reject protocol with CRC-16 for flow control in network communication. Designed as part of an undergraduate course project.

• Fast Track Future Leader (FTFL) (ICT Ministry Bangladesh, 2019)
• ICPC Dhaka Regional Contest - Honorable Mention (69th place, 2018)
• Dean's List Scholarship (2019), Medha Lalon Scholarship (2018)
• Winner - Inter-University Idea War (2016), Runner-up - Intra University Programming Camp (2016)