Eesha Tariq

Massachusetts Institute of Technology (MIT) | Harvard-Affiliated Collaboration

Undergraduate Student Researcher at MIT Critical Data (2026-01 – 2026-07)

Massachusetts Institute of Technology (MIT) | Harvard-Affiliated Collaboration

• Engineered LSTM, Transformer, and Causal Inference pipelines on MIMIC-IV longitudinal EHR data for 30-day ICU readmission prediction, achieving 82% AUC-ROC.
• Engineered 40+ clinical variables and applied SHAP-based interpretability framework for clinician-ready diagnostic explanations.
• Mitigated class imbalance and missing EHR data via SMOTE and Bayesian tuning, boosting overall F1-score by 18%.
• Co-authored 2 research manuscripts in preparation, examining dataset shifts and demographic representation in clinical evidence for multiple sclerosis.

Undergraduate Researcher at California Polytechnic State University (Cal Poly) (2025-01 – Present)

Reconfigurable Systems and Computing Laboratory (RSCL) (Advised by Dr. Mohamed El-Hadedy)

• Investigating trust-aware and explainable Edge AI frameworks for anomaly triage in resource-constrained UAV telemetry networks.
• Benchmarking lightweight autoencoders and Graph Neural Networks (GNNs) on public datasets (ALFA, TON IoT) to evaluate inference latency and SHAP explainability trade-offs.
• Formulated a pre-verification ML layer to reduce full cryptographic checking overhead; co-authoring a manuscript in preparation.

Lead Researcher at National Student Research Institution (NSRI) (2026-02 – 2026-06)

Multi-Domain Artificial Intelligence Division

• Directed an international team of 7+ researchers across 5 countries, coordinating multi-domain AI projects targeting NeurIPS and ICLR workshop submissions.
• Designed end-to-end experimental pipelines, model architectures, and manuscript writing across computer vision and NLP domains.

Full Stack Developer at Vialogic (2024-10 – 2025-01)

• Built interactive React dashboards that improved user conversion by 30% and reduced site page load times by 40%.

Frontend Developer at Wallafan (2024-07 – 2024-10)

• Developed modular React and Vue.js features for a community application, exceeding departmental targets by 30%.

Web Development Intern at Gutech International LLC (2024-01 – 2024-07)

• Promoted to Team Lead within 7 months; directed 4 engineers delivering dynamic components, cutting bug rework by 35%.

Global Coding Instructor at Codingal (YC W21) (2025-05 – 2026-06)

Y Combinator Backed EdTech Platform

• Delivered 1,500+ live instructional hours in Python, Data Science, and AI algorithms to 450+ international students across 20+ countries (4.8+/5 rating).

Volunteer Algorithms Instructor at iCodeGuru (2025-01 – 2025-12)

Silicon Valley Non-Profit Initiative

• Taught a 16-week Python and DSA course (Graphs, DP, Binary Search) to 100+ underserved students, resulting in an 85%+ completion rate.

Code in Place Section Leader (Re-selected) at Stanford University (2025-01 – Present)

Stanford University CS Department

• Selected from 2,000+ global applicants to mentor CS106A Python cohorts; achieved a 95% course completion rate across assigned sections.
• Re-selected for the 2026 cohort based on top-decile student feedback and high instructional performance.

Bachelor of Software Engineering in Software Engineering – The Islamia University of Bahawalpur (2023-01 – 2027-01)