Shashikant Chaudhary
Artificial Intelligence · Mathematics · Research · Teaching
mailshashi122@gmail.com · linkedin.com/in/chaudharysk · github.com/chaudharysk
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
- Supported MATH 1022 (Mathematics for Machine Learning), MATH 5109 and MATH 5110 (Mathematics for Data Analytics A and B), and ARTI 6000 (Advanced Topics in AI and Machine Learning).
- Explained technical concepts, supported student problem solving, coordinated with teaching teams, and contributed to assessment.
Mathematics Specialist — Freelance From May 2024
Outlier AI
- Reviewed AI-generated mathematical responses for correctness, logical reasoning, and clarity.
Student Services & University Operations 2024–2026
University of Adelaide / Adelaide University
- Worked across Student Assist, graduation support, health program admissions interviews, Succeed@Adelaide, and the English Language Centre.
- Supported student enquiries, orientation, event coordination, confidential records, and communication with academic and professional teams.
Technical Intern January–April 2020
Hatchnhack Private Limited
- Built firmware, Python hardware-control tools, and a sensor-monitoring interface for an educational electronics platform.
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.