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Shashikant Chaudhary

Artificial Intelligence · Mathematics · Research · Teaching

Profile

AI and machine learning graduate with postgraduate qualifications in mathematics and computing. Experience in published research, educational AI, reproducible data analysis, university teaching support, and evaluation of AI-generated mathematical reasoning. Combines a strong quantitative foundation with clear communication and practical experience supporting students and university operations.

Education

Master of Artificial Intelligence & Machine Learning December 2025

University of Adelaide

CGPA: 6.923/7 · Dean’s Recognition of Academic Excellence.
Relevant areas: statistical machine learning, deep learning, computer vision, and mathematics for data science.

Master of Mathematics & Computing August 2023

Thapar Institute of Engineering and Technology

Optimisation, numerical analysis, statistics, and mathematical modelling.

B.Tech in Computer Science & Engineering July 2020

BML Munjal University

Selected research & projects

Conversational risk analysis — published research 2025 · CSCT 2024 proceedings

Co-authored “Conversational Risk Analysis: Identifying and Classifying Potential Threats in Interpersonal Communication.” Compared machine learning and deep learning approaches across text and audio. Springer · DOI: 10.1007/978-981-96-6254-8_53

edTuned — agentic AI for personalised education

Capstone and startup exploration of LLM-based learning agents, personalised learning pathways, workflow design, and responsible AI. Engaged with the ThincLab startup ecosystem.

Student success analysis — OULAD

Integrated seven related tables covering 32,593 student records and more than 10 million interaction logs. Built staged Python pipelines with data cleaning, validation, feature engineering, and predictive modelling. Manuscript in preparation.

GovNav — GovHack 2025

Contributed to Team SPYDER’s exploration of AI-assisted government service navigation, community agents, and plain-language regulatory guidance.

ARBD1 hardware-control library & monitoring dashboard

Developed firmware, a Python library, and a monitoring GUI for an Arduino-based educational board, including work on MQTT device-to-dashboard data flow.

Experience

Casual Academic / Teaching Support 2025–2026

University of Adelaide / Adelaide University · School of Computer and Mathematical Sciences

Mathematics Specialist — Freelance From May 2024

Outlier AI

Student Services & University Operations 2024–2026

University of Adelaide / Adelaide University

Technical Intern January–April 2020

Hatchnhack Private Limited

Technical skills

Programming & data: Python, SQL, NumPy, pandas, SciPy, Jupyter, Git.
AI & machine learning: scikit-learn, XGBoost, PyTorch, TensorFlow, neural networks, LLM-based systems.
Mathematics: linear algebra, calculus, probability, statistics, optimisation.
Communication: teaching support, technical writing, stakeholder communication, cross-cultural student support.

Community & leadership

Joint Secretary, Thapar Mathematical Society (2022–2023) · Microsoft Learn Student Ambassador (2019–2020) · University student orientation and international student support.