Experience

My work spans university data operations, computer science teaching, applied AI research, and secure software development. Across these roles, I build auditable data workflows, privacy-aware systems, and practical learning environments. The record below focuses on responsibilities, methods, and outcomes.

Current Research Appointments

Principal Investigator — ACCESS CIS260616 Apr 2026 – Present

NSF-supported ACCESS program · John Jay College of Criminal Justice

Lead a competitive computational allocation supporting dataset development and parameter-efficient fine-tuning for low-resource Bengali programming assistance. Manage Jetstream2 GPU and large-memory resources and establish reproducible, multi-stage training and evaluation workflows for equitable AI access.

View allocation and research infrastructure →

Researcher & Allocation Manager — ACCESS CIS260131 Jan 2026 – Present

NSF-supported ACCESS program · John Jay College of Criminal Justice

Manage research computing resources and conduct adversarial machine-learning experiments for master's thesis research on perceptual image hashing. Use Jetstream2 GPU and large-memory infrastructure to evaluate evasion, collision, and near-collision attacks under the supervision of Principal Investigator Dr. Shweta Jain.

NLP Research Contributor — Propasafe-Hybrid Aug 2025 – Present

NAIRR Pilot research collaboration · John Jay College of Criminal Justice

Designed an automated article-extraction and preprocessing pipeline that removes advertisements and dynamic page elements, normalizes web content, and produces structured datasets for downstream transformer and LLM-based propaganda analysis. The collaboration produced a peer-reviewed paper accepted at FLAIRS-39.

View the published paper (doi.org) →

Employment History

Adjunct Assistant Professor (Beginning Sep 2026)

St. John's University Queens, NY

Beginning in Fall 2026, I will teach graduate digital forensics in the Collins College of Professional Studies, connecting forensic methodology, malware behavior, and defensible investigative practice through laboratory-based technical work.

  • Teach DFR 711, Cyber-Forensic and Malware Analysis, covering advanced digital forensics, malicious software, and the forensic characteristics of Windows, macOS, and Linux platforms.
  • Guide hands-on laboratory work with open-source and commercial forensic tools for evidence examination and malware investigation.
  • Develop students' ability to apply static and dynamic reverse-engineering techniques while maintaining appropriate legal controls, procedural documentation, and evidentiary rigor.

Substitute Lecturer (Aug 2026 – Present)

John Jay College of Criminal Justice, CUNY New York, NY

I teach undergraduate computer science in the Department of Mathematics and Computer Science, with Fall 2026 responsibility for object-oriented programming, databases and data mining, and computer algorithms.

  • Teach CSCI 272 through advanced algorithmic problem solving, object-oriented design, abstract data types, inheritance, polymorphism, recursion, and rigorous software-development practice.
  • Teach CSCI 362 through relational database design, entity-relationship modeling, SQL, MySQL laboratory exercises, and data-mining projects that extract useful patterns from application data.
  • Teach CSCI 377 through algorithm design and complexity analysis, including divide-and-conquer, dynamic programming, greedy optimization, randomized methods, graph problems, and selected machine-learning and string-matching algorithms.

Data Analyst (Jul 2024 – Present)

The City University of New York (CUNY)

I analyze multi-campus student enrollment and immigration-related records to ensure data accuracy and regulatory compliance across the CUNY system. My work focuses on building reconciliation workflows, automating validation pipelines, and generating dashboards that support data-driven decision-making.

  • Analyze 10,000+ student records each term (with 60+ data attributes per record) using SQL and Python to support SEVIS reporting, enrollment planning, and regulatory compliance.
  • Build automated reconciliation and anomaly-detection workflows that reduce manual data correction efforts and improve cross-campus data reliability.
  • Develop Tableau and Excel dashboards that visualize enrollment movement and compliance indicators across 26 campuses, enabling faster administrative decision-making.
  • Document standardized data governance procedures to ensure repeatable audit readiness and consistent reporting across distributed administrative units.

Adjunct Lecturer (Aug 2025 – Aug 2026)

John Jay College of Criminal Justice, CUNY New York, NY

Taught CSCI 271, Introduction to Computing and Programming, and CSCI 272, Object-Oriented Programming, at John Jay College, building students' foundations in computational thinking, C++, debugging, and software design.

  • Designed and delivered C++ coursework covering algorithms, control structures, functions, arrays, class design, encapsulation, inheritance, polymorphism, file handling, and multi-file program structure.
  • Organized and led an Object-Oriented Programming Hackathon & CTF focused on debugging, object-oriented reasoning, collaborative problem solving, and applied programming challenges.
  • Integrated Git, GitHub, and Visual Studio Code into course workflows, teaching branching, merge resolution, commit structure, code documentation, and collaborative development practices.

AI Research Assistant (Jun 2025 – Aug 2025)

The Research Foundation of the City University of New York (RFCUNY)

As an AI Research Assistant at the Research Foundation of CUNY, I contributed to the development of a writing proficiency assessment system aligned with ACTFL standards. My work focused on preparing structured text corpora, fine-tuning transformer models, and evaluating model performance to ensure linguistic accuracy and interpretability.

  • Prepared labeled text corpora and evaluation datasets for ACTFL-aligned writing proficiency assessment.
  • Fine-tuned transformer-based models and evaluated performance through confusion matrices, threshold sweeps, and linguistic error clustering.
  • Built an interactive Gradio-based interface to enable explainable model inspection for instructors and researchers.
  • Authored reproducible training and evaluation pipelines to ensure traceable and repeatable research experimentation.

Research Mentor — Software Development & Applied Computing (Jun 2025 – Aug 2025)

CUNY John Jay College of Criminal Justice New York, NY

As a Research Mentor in the Department of Mathematics & Computer Science, I guided undergraduate researchers in designing secure, production-aligned web systems. I led students through full-stack workflows, emphasizing authentication, session integrity, and software reliability.

  • Designed a concurrency-safe session enforcement architecture using Django middleware and PostgreSQL-backed session state tracking.
  • Guided students through schema design, token invalidation logic, and device-aware session lifecycle management.
  • Conducted code reviews emphasizing deterministic control flow, separation of concerns, and idempotent design.
  • Structured the final implementation as a reproducible research artifact with deployment documentation and test coverage.

Graduate Research Assistant (Jan 2025 – May 2025)

CUNY John Jay College of Criminal Justice New York, NY (Hybrid)

As a Graduate Research Assistant, part of my capstone work, I inherited an existing, nonfunctional .NET 5 and React intelligence platform and completed an end-to-end legacy system modernization. I migrated the backend to .NET 9, rebuilt broken components, restored investigative workflows, strengthened safeguards for sensitive PII, and deployed the enhanced system to Microsoft Azure.

  • Migrated the inherited API backend from .NET 5 to .NET 9, updated obsolete dependencies and integrations, and rebuilt failing application components.
  • Restored and enhanced real-time mapping with Google Maps API, SignalR, and Hangfire for live geospatial updates, asynchronous case processing, and event notifications.
  • Strengthened security controls including OAuth2 authentication through Azure AD, TLS in transit, field-level encryption at rest, RBAC, and auditable access patterns.
  • Expanded audit logging, anomaly detection, and data-integrity routines to identify suspicious access, tampering attempts, and unusual behavioral trends.
  • Modernized Razor/Bootstrap dashboard workflows for filtering, drill-down analysis, and export of investigative data.
  • Deployed the recovered and enhanced application to Microsoft Azure.

University Student Records Coordinator (Jun 2023 – May 2024)

The City University of New York (CUNY)

I oversaw the management, validation, and reconciliation of university-wide student records, implementing processes that improved data reliability across multiple campus systems. I developed automated comparison tools, reduced manual verification, and ensured alignment with institutional and regulatory requirements.

  • Built a C#/.NET application to automate cross-file student record comparison, reducing manual verification time by ~30%.
  • Implemented unique-identifier matching and discrepancy indexing for reliable data alignment across systems.
  • Automated reporting with Excel/VBA macros to generate audit-ready exception summaries.
  • Collaborated with Registrar and ISSS teams to translate regulatory rules into deterministic validation constraints.

IT Specialist & Data Analyst (Oct 2019 – Jun 2023)

The City University of New York (CUNY)

I managed data workflows across multiple student information systems, performed large-scale data cleansing, and developed query and visualization tooling to support enrollment analysis. My work improved reporting consistency, reduced manual processing, and informed administrative planning across academic units.

  • Wrote SQL queries and stored procedures to reconcile and analyze 10,000+ student records across RDBMS platforms.
  • Performed predictive enrollment and retention analysis using cohort-level trend indexing.
  • Developed standardized Tableau and Excel reporting templates, increasing reporting efficiency by ~80% across offices.
  • Implemented structured data quality checks enabling faster resolution of discrepancies.

Earlier Technical Leadership & Teaching

Lecturer in Computer Science Jul 2018 – Jul 2019

United College of Aviation Science and Management · Dhaka, Bangladesh

Delivered computer science instruction with an emphasis on foundational programming, applied problem solving, and clear connections between technical concepts and practical computing work.

Chief Technology Officer Apr 2018 – Jul 2019

Carpet Culture · Remote from Bangladesh

Performed this remote role from Bangladesh, leading technology strategy and digital transformation for retail and e-commerce operations. Directed the development of internal analytics and sales-management tools, managed a small development team, and aligned platform and infrastructure improvements with inventory, forecasting, marketing, and long-term business goals.

Senior Web Engineer & Sales Executive Mar 2017 – Mar 2018

Carpet Culture · New York metropolitan area

Developed an e-commerce platform integrating product catalogs, payment workflows, customer management, and sales analytics. SEO and digital-commerce improvements increased web traffic by more than 40% and supported approximately 37% growth in online sales.