Final-year Ph.D. candidate and AI/ML engineer with 6+ years across data, analytics, and machine learning, including 4+ years focused on applied ML and data science. I build end-to-end systems spanning data acquisition, feature engineering, model development, controlled evaluation, deployment, and monitoring, with specialization in intelligent learning systems, multimodal AI, robotics, and automated evaluation.
Selected impact: 6 peer-reviewed papers with 160+ citations, an NSF-funded robotics learning platform supporting 100+ students, open-source ML tooling, and production analytics across 8M+ property images and 4M+ property records.
Current Research & Development
Ph.D. research + Robotics Learning Platform
Behavioral telemetry connects student attempts, test outcomes, help-seeking, and revisions to the study of accuracy, efficiency, recovery, robustness, and learner experience.
Publish peer-reviewed evidence
Engineer intelligent learning and ML systems
Run controlled studies and automated evaluation
Operate analytics at million-record scale
Featured projects
Research platform
Built an NSF-funded learning platform that joins browser-based programming, automated evaluation, behavioral telemetry, robotics simulation, and guardrailed AI tutoring in one workflow.
Generative engineering
Turns natural-language ESP32 sensor-board requirements into a reviewable engineering handoff with validated components, pin maps, netlists, power budgets, and deterministic fallbacks.
Multimodal AI
Routes image evidence, OCR text, and associated language through specialized models before producing an auditable fused risk assessment for forensic review.
Open-source ML tooling
Packages repeatable DataFrame quality checks and reference-versus-current comparisons across schema, completeness, distributions, dates, and categories.
More public repositories
Evidence-backed capabilities & Skills
Design integrated learning environments with automated assessment, behavioral telemetry, robotics simulation, personalized feedback, and guardrailed AI tutoring.
Build classification, regression, time-series, optimization, and feature-engineering pipelines with statistical analysis, controlled experiments, evaluation, and monitoring.
Combine images, OCR, contextual text, vision-language models, transformers, evidence routing, classification, and score fusion into auditable AI pipelines.
Transform natural-language requirements into structured, validated, and reviewable outputs using RAG, prompt engineering, guardrails, and deterministic fallbacks.
Develop acquisition, ETL, data-quality, warehousing, spatial analytics, deployment, and monitoring workflows for multimillion-record production systems.
Ship production Python services, REST APIs, tested CLI tools, reusable packages, CI workflows, regression safeguards, and technical documentation.
Experience
University of Nevada, Reno
Developing an NSF-funded AI/ML learning and assessment platform with automated evaluation, behavioral telemetry, robotics simulation, and guardrailed LLM feedback.
University of Nevada, Reno
Teaching Python for data science, including analysis, visualization, statistical reasoning, and machine learning fundamentals.
Tahoe Forest Health System
Built healthcare dashboards, SQL datasets, data models, and repeatable ETL and data-quality workflows supporting Microsoft Fabric integration. Analyzed 426,759 referral records and resolved 119,749 of 121,719 missing specialty values (98.38%) for production analytics.
ConSynSys Technologies
Developed biomedical time-series forecasting, pump-control optimization, real-time monitoring, and cloud AI workflows for deployment reliability. Applied genetic optimization to pump-calibration control, reducing manual intervention by 50%.
Softwrd Ltd
Led the development of an end-to-end multimodal property-valuation system combining machine learning, computer vision, geospatial intelligence, PostgreSQL/PostGIS, and AWS cloud pipelines. Processed 8M+ images and 4M property records across 100+ risk zones, helping secure $20K in government funding.
Truck Lagbe
Used Python, MySQL, Tableau, regression, and supply-demand analysis to support operations and contribute to a 15% improvement in customer retention.
Creatino
Analyzed user and product data and built Power BI reporting that informed campaigns, product decisions, and growth planning.
BRAC University
Conducted classes, contributed to curriculum development, prepared assessments, and provided academic guidance to computer science students.
Education
University of Nevada, Reno · GPA 3.87
University of Nevada, Reno · GPA 3.87
BRAC University · GPA 3.60
Research & publications
Co-author · Accessible robotics education · Simulation
First author · Automated assessment · Robotics education · TDD
Co-author · Personalization · Engineering education
First author · Personalized learning · Robotics education
Co-author · Optimization · Cloud scheduling
Co-author · Multimodal ML · NLP · Computer vision
Beyond the work