Probability spaces, distributions, limit theorems, and statistical inference. [Course page]
Teaching
IIT Jodhpur — Instructor
Descriptive statistics, statistical inference, hypothesis testing, and regression. [Course page]
Analysis of variance (ANOVA), combinatorial designs, and response-surface methodology. [Course page]
Detailed evaluation (means on a 1–5 scale; medians were 4 throughout)
- Evaluation criteria explained at the start: 3.88
- Encouraged students to express ideas: 3.81
- Timely feedback on assessments: 3.79
- Real-world relevance and context: 3.79
- Course objectives clearly explained: 3.77
- Enthusiasm and engagement: 3.75
- Contribution to knowledge: 3.75
- Appropriateness of exam questions: 3.73
Selected student feedback
“Brahadeesh sir was really passionate and committed in delivering this course and made sure he presented quality content. He really encouraged students to ask doubts and clarified it then and there.”
“…the biggest benefit of the course was the project… examples given in class were also related to real life. The biggest plus which I felt was the notes provided…”
“Well-organized course with good balance of theory and practice. Instructor was always available for doubts.”
IIT Hyderabad — Teaching Assistant
| MA5020 | Functional Analysis | Autumn 2025–26 |
IIT Bombay — Teaching Assistant
| SI 419 | Combinatorics | Autumn 2024–25 |
| SI 416 | Optimization | Spring 2021–22 (hybrid) |
| SI 419 | Combinatorics | Autumn 2021–22 (online) |
| MA 205 | Complex Analysis | Autumn 2021–22 (online) |
| MA 108 | Differential Equations | Summer 2020–21 (online) |
| MA 106 | Linear Algebra | Spring 2020–21 (online) |
| MA 111 | Calculus II | Spring 2020–21 (online) |
| MA 207 | Differential Equations II | Autumn 2020–21 (online) |
| MA 205 | Complex Analysis | Autumn 2020–21 (online) |
| MA 108 | Differential Equations | Spring 2019–20 (online) |
| MA 106 | Linear Algebra | Spring 2019–20 |
| MA 207 | Differential Equations II | Autumn 2019–20 |
| MA 205 | Complex Analysis | Autumn 2019–20 |
Student feedback from two of these semesters:
“TA encouraged us to think [about the] subtleties of various steps in proofs which otherwise seemed trivial to us. He always cleared our doubts very quickly and in a very efficient and detailed manner.”
“Tutorials were well organized and contained [a] variety of problems.”
Other teaching and mentoring
Masterminds Program (Ministry of Education, UAE), 2023–24 and 2024–25. Mathematics trainer (combinatorics, number theory) for the UAE IMO selection camp. [UAE results at the IMO]
Mathematics Training and Talent Search Programme (MTTS), 2023. Mentor for the Online Foundation Course in Mathematics and the Online Short Course in Linear Algebra: Application View. Contributed to the MTTS Self Assessment Team's question bank for foundational topics (Fall 2023).
Study-Help Room, IIT Bombay, 2023. Co-organized a weekly Friday drop-in math help session for BS and MSc students, run by PhD volunteers to address learning gaps from the COVID-19 pandemic.
TA Skill Enhancement & Training (TASET), IIT Bombay, Autumn 2022–23. Master TA for TA 101 — TASET, conducted by PPCCLT.
NPTEL Online Certification, 2020. TA for MA 39 — A basic course in number theory.
Project Supervision
Executive M.Tech.
- Oct 2025– Rayipalli Prakash (School of Artificial Intelligence and Data Science) — GNN-Based Automatic Calorie Identification from Food Images.
- Oct 2025– Md. Parvez Rahaman (School of Artificial Intelligence and Data Science) — AI-Based Text Summarization and Tone Rewriting System Using BART and T5.