Mackenzie scored a 35 on the ACT and tutors math at every level from elementary through AP, which means she knows exactly which algebra and AB gaps trip students up once BC introduces new integration techniques and series. She walks through problems like setting up improper integrals or applying ratio tests by tracing each step back to the reasoning behind it, so students build intuition they can rely on during the exam.

Applied physics at the undergraduate level means Christina spent years relying on series approximations, parametric motion equations, and integration techniques to solve real problems — the same toolkit that defines the BC curriculum beyond AB. She's particularly sharp at walking through convergence tests as a logical sequence of questions rather than a memorized checklist, which tends to be the piece that finally unlocks the series unit for struggling students. Rated 4.9 by students.

In electrical engineering, you don't just integrate a transfer function — you need to know whether the series representation you're working with actually converges and how tightly your polynomial approximation tracks the real behavior. Tim's EE honors degree means he learned BC staples like improper integrals, convergence criteria, and Taylor expansions as engineering necessities, and he teaches them with that same practical directness. Rated 5.0 by students.

Computational engineering at UT Austin is where calculus stops being a class and starts being the language — Atharva uses series approximations, parametric models, and multivariable techniques in his actual coursework, which gives his BC tutoring a fluency that's hard to fake. He's particularly sharp at walking through the logic of convergence tests, treating each one as a question with a clear decision rather than a memorized checklist. Rated 5.0 by students.

Laila's math degree at UT Austin means she's working through the rigorous proofs and theory behind the techniques BC students encounter — so when a topic like series convergence or integration by parts feels like arbitrary rule-following, she can trace it back to the underlying logic that makes it click. She's especially strong in discrete math and algebraic reasoning, which sharpens how she breaks down the structured, step-by-step thinking BC problems demand.

Chemical engineering at UT Austin's Cockrell School means Ria is actively using series approximations and integration techniques in her thermodynamics and reactor design courses — so when she teaches Taylor polynomial construction or convergence tests, she can ground them in problems she's solving this semester. Her 1480 SAT and 5.0 tutoring rating back up what her engineering training suggests: she knows how to make the AB-to-BC jump feel like a natural step rather than a sudden cliff.

Having earned a perfect 1600 SAT, Sandra brings rigorous problem-solving instincts to the trickiest BC territory — she's especially sharp at walking students through the logic of series convergence, where knowing which test to reach for and why matters more than memorizing a checklist. Her computer science background at the undergraduate level also means she thinks algorithmically about multi-step integration and recursive sequences, giving students a structured way to attack problems that feel overwhelming. Rated 5.0 by students.

Biomedical engineering at UT Austin means Muhammad is solving differential equations and building series approximations in his coursework right now — the same BC topics that trip students up when they feel disconnected from anything real. His experience as Lead Assistant at Kumon, where he specifically tutored advanced calculus, sharpened his ability to trace a shaky convergence test or parametric problem back to the AB-level derivative or integral concept that needs reinforcing.

Electrical engineering at UIUC means Ramsey is actively using series expansions to analyze circuit behavior and integration techniques to model signal responses — so when he teaches convergence tests or constructs a Taylor polynomial in BC, he's drawing on tools he applies in his own coursework daily. His 1500 SAT and National AP Scholar recognition point to someone who learned to move fluidly between AB foundations and the more abstract BC extensions, especially the leap into parametric and polar problems where students often stall.

Every student Siddhant taught in his two-year AP Calculus BC prep class at a New Jersey public library scored a 4 or 5 on the exam. He built that class from scratch — writing mock tests, structuring weekly lessons on series convergence, parametric equations, and integration techniques. As a current math major at UT Austin, he digs into the theory behind BC-specific topics like Taylor polynomials and Euler's method so students understand the reasoning, not just the formulas.

I am a graduate petroleum engineering student at The University of Texas at Austin. My graduate research is focused on modeling friction losses between the drill string and wellbore during drilling operations. I did my undergrad at UT as well and majored in petroleum engineering and Plan II Honors (an interdisciplinary honors liberal arts program).

The jump from AB to BC is where most students lose their footing — suddenly convergence tests, Taylor polynomials, and parametric curves are flying at them with little breathing room. Parth, a computer science student heading to UT Austin, tackles these topics by tying each new technique back to the derivative and integral reasoning students already have, so series and polar coordinates feel like extensions rather than entirely new subjects. His 32 ACT and cross-disciplinary comfort with both math and science keep explanations grounded and precise.