cv

Education, research, engineering, teaching, and service.

Download CV (PDF · November 2026)

research interests

AI in Education · AI in Healthcare · Human–AI Interaction · Safety & Security · Agentic AI · LLM Evaluation · Contextual Integrity & Privacy

education

2025–2027 (expected)

M.Sc. in Computer Science

ETH Zürich · Switzerland

Selected coursework: Probabilistic Artificial Intelligence, Large Language Models, Advanced Formal Language Theory, Artificial Intelligence in Education, Mixed Reality, Big Data, Information Security Lab, Computational Intelligence Lab, and Computational Statistics.
Current coursework (Autumn 2026): Data Management Systems and Topics in Medical Machine Learning.

2020–2024

B.E. in Computer Science

BITS Pilani · India

CGPA: 9.83/10. Director’s Gold Medal; full tuition waiver through the Institute Merit Scholarship for consistently ranking in the top 1%.
Selected coursework: Artificial Intelligence, Human Computer Interaction, Computer Graphics, Database Systems, Linear Algebra, and Probability and Statistics.
Interdisciplinary teaching: Introduction to Psychology and Techniques in Social Research (Teaching Assistant).

publications

  1. AIED

    Reliability as a Teammate: Budgeted Verifier-in-the-Loop (BVIL) Policies for Reliable LLM Tutoring Actions

    Partha Sarathi Purkayastha

    Artificial Intelligence in Education (AIED 2026), Springer LNAI 16583

    Paper
    Summary

    Policies for deciding when to invoke verification under a budget, with the goal of making LLM tutoring actions more reliable.

  2. IJCV

    Context Aware Grounded Teacher for Source Free Object Detection

    Tajamul Ashraf, Rajes Manna*, Partha Sarathi Purkayastha*, Tavaheed Tariq, and Janibul Bashir

    International Journal of Computer Vision, 134, Article 306 (2026)

    * Equal Contribution

    Paper
    Summary

    A context-aware teacher framework for source-free object detection that addresses class imbalance and unstable pseudo-labels.

  3. REALM

    DySAS: Dynamic State-Aware Student Simulation Beyond Static Personas

    Partha Sarathi Purkayastha and Heejin Do

    Research on Agent Language Models (REALM) Workshop at EMNLP 2026 · Accepted

    Workshop
    Summary

    Psychologically grounded student simulation with evolving states, designed to evaluate adaptive LLM tutors across multi-turn interactions.

  4. FAGEN

    When Thinking Before Retrieval Hurts: TraceBound Diagnostics for Adaptive Knowledge-Graph Retrieval

    Partha Sarathi Purkayastha

    Failure Modes in Agentic AI (FAGEN) Workshop at ICML 2026 · Accepted

    arXivPDF
    Summary

    A diagnostic study of adaptive knowledge-graph retrieval, examining how extra reasoning and trace conditioning can worsen retrieval through ineffective action selection.

experience

May 2026–present

Research Assistant

ETH SCAI Lab · Zürich / Nottwil, Switzerland

Analyzing multimodal wearable and clinical data for decongestion monitoring in cardiac recovery.

Supervision: Dr. Diego Paez-Granados.

Sep 2025–Sep 2026

Research Intern

ETH LRE Lab · Zürich, Switzerland

Developed a psychologically grounded, dynamic state-aware framework for simulating diverse and evolving student behaviours beyond static personas, enabling evaluation of adaptive LLM tutors across multi-turn interactions. This work led to DySAS, accepted at REALM @ EMNLP 2026.

Supervision: Prof. Mrinmaya Sachan and Dr. Heejin Do.

Jul 2024–Jun 2025

Research Fellow

Microsoft Research India · Bangalore, India

Developed a privacy taxonomy and curated a dataset for context-dependent, privacy-preserving summarization. Evaluated LLMs using automatic metrics and human judgments, improving privacy adherence over GPT-4o while maintaining summary consistency, relevance, and coherence.

Supervision: Dr. Akshay Nambi.

Jan–Jul 2024

Software Engineering Intern

Sprinklr · Gurgaon, India

Resolved memory leaks with memlab, reducing memory consumption by over 10%. Implemented server-side rendering with Next.js and GraphQL and end-to-end tests, improving load times by over 20%. Identified render blockers and improved application performance and resilience.

Aug 2023–Jan 2024

Research Intern

BITS Pilani · Pilani, India

Built a fundus-image annotation tool covering soft and hard exudates, microaneurysms, hemorrhages, and neovascularization. Collaborated with a hospital to curate a 3,000-image dataset. Applied image processing and custom deep-learning models to automate lesion annotation, achieving over 80% accuracy and specificity.

Supervision: Prof. Sundaresan Raman.

May–Aug 2023

Software Engineering Intern

Uber · Hyderabad, India

Built an end-to-end application using React.js, GraphQL, and Go to manage credit types for over 2,000 employees. Migrated financial data to a centralized MySQL database and automated integration and end-to-end tests, reducing onboarding time by two months.

Jan–May 2023

Research Intern

Mercedes-Benz · Bangalore, India

Trained customized variational autoencoders for parameter-controlled vehicle-component design generation on a proprietary dataset of over 25,000 data points. Developed comparison heuristics and a web application for researchers to generate custom designs.

Supervision: Prof. Poonam Goyal.

May–Jul 2022

Summer Research Intern

Jio Platforms · Mumbai, India

Built keyword-based image collection and annotation workflows and an automated bounding-box dataset pipeline. Trained a customized YOLOv7 model on public and proprietary datasets to distinguish people from objects and barriers; successful detections achieved over 90% model confidence.

teaching

Sep 2025–Jun 2026

AI and Digital Technology

Teaching Assistant · ETH Zürich

Developed AI analytics initiatives for executive education, including privacy-preserving machine learning and synthetic-data projects.

Supervision: Clara Meister.

Jan–Dec 2023

Techniques in Social Research

Teaching Assistant · BITS Pilani

Introduced foundational research methodologies and supported the analysis of social research projects.

Supervision: Tanu Shukla.

Jan–Dec 2023

Introduction to Psychology

Teaching Assistant · BITS Pilani

Guided students through core psychological theories and research methods in weekly classes and doubt-clearing sessions, clarifying concepts and helping them build a strong foundation in introductory psychology.

Supervision: Dr. Tanu Shukla.

Jan–May 2022

Microprocessors and Interfacing

Teaching Assistant · BITS Pilani

Conducted laboratory sessions on MASM-based assembly programming and guided hands-on interfacing exercises.

Supervision: Vinay Chamola.

academic service

Program Committee Member, 2026: AI4GOOD @ ICML, FAGEN @ ICML, and REALM @ EMNLP.

awards & recognition

Jan–Apr 2026

ASIA 2026 Data Challenge · Track 2 Winner

American Spinal Injury Association

Won the longitudinal ISNCSCI imputation track, reconstructing full neurological sensory examinations from expedited assessments and baseline examinations. Built a leakage-safe pipeline with target-wise TabPFNv2.5 bagging, copy-through, symmetry, modality, and anchor post-processing.

Supervision: Diego Paez-Granados.

2024

Director’s Gold Medal

BITS Pilani

Graduated with a CGPA of 9.83/10.

2020–2024

Institute Merit Scholarship

BITS Pilani

Full tuition waiver for consistently ranking in the top 1% of the institute.

Jun–Jul 2022

Machine Learning Summer School

Amazon

Selected for and completed an integrated machine-learning training programme with Amazon experts.

projects

Sep 2025–Jan 2026

NeuroReach VR

Mixed-reality rehabilitation for stroke recovery

Built a pass-through mixed-reality system on Meta Quest 3S with Logitech MX Ink for gross- and fine-motor training. Added clinician-readable event-level CSV logging. A 10-user pilot achieved a System Usability Scale score of 79.7/100.

Supervision: Marwen Mokni and Christoph Bauer.

Oct–Dec 2023

Systemic Diabetic Retinopathy Analysis

Machine learning for healthcare

Developed a portal for studying systemic factors in diabetic retinopathy. Compared TabNet and DeepForests on tabular data across hospitals in India and Hong Kong, achieving over 80% model-testing accuracy.

Supervision: Sundaresan Raman.

Jan–May 2023

Dynamic Third-Person Shooter

Game development

Built a 3D open-world game in C# with missions, day–night cycles, and an inventory system. Integrated Blender assets, Unity animations, and Cinemachine camera controls.

Oct–Dec 2021

Text-Based Fake News Classification

Natural language processing

Compared LSTM, Bi-LSTM, and ensemble classifiers for online misinformation detection, achieving over 90% across the reported evaluation metrics. This work was included in the proceedings of Innovations in Bio-Inspired Computing and Applications (IBICA 2022).

community activities

Oct–Nov 2024

Volunteer · Vision Empowerment

Microsoft Research India · Bangalore

Designed Braille-based learning aids to help children with visual impairments learn basic mathematics through haptic feedback.

Jan–Dec 2022

Publicity Coordinator · Arunodoi

BITS Pilani

Led photo- and video-editing teams to promote Northeast India’s cultural awareness and community engagement.

Nov 2021–Jan 2022

Volunteer · Indian Red Cross Society

BITS Pilani

Helped organize a two-day blood donation camp with over 3,000 attendees and over 800 donations.

skills

Programming
Python, Java, TypeScript / JavaScript, C / C++, Go, SQL
Machine learning & data
PyTorch, Transformers, NumPy, Pandas, Plotly, OpenCV, Keras
Web development
Node.js / Express, React / Next.js, GraphQL, Tailwind CSS
Tools
LaTeX, GitHub, Docker, Postman, MongoDB

Contact: ppurkayastha@ethz.ch · personal email