Ojas
About Me
Hi, I’m Ojas Srivastava, a Mathematics and Computer Science student at McGill University, where I’m diving into advanced topics like Algorithms and Data Structures (in Java), Real Analysis proofs, Compiler Design, and Operating Systems on C/Linux—challenges that sharpen my problem-solving daily. I achieved A*s in Maths, Further Maths, and Physics at A-Level (Cambridge), alongside stellar IGCSE results across sciences and maths, which ignited my passion for breaking down complex concepts into clear, relatable steps. With four years of part-time A-Level tutoring in these subjects, I’ve helped dozens of students boost grades from C’s to A’s by tailoring sessions to their style—whether visual diagrams for vectors or step-by-step proofs for calculus—plus I volunteered regularly at a local orphanage, teaching basic maths and physics to kids, building patience and adaptability for diverse learners. This mirrors my tech wins: McHacks victory with SymLang (AI gesture-coding tool, 90% accuracy via TensorFlow.js), UoFT Hacks win with CodeView (OCR code scanner with Big O analysis), and co-founding Nuclear AI notetaking app (100 users, 40% monthly growth). Internships at Nakisa (40% query speed-ups for Fortune 500) and CodeDay (leading global hackathons) honed my collaborative edge.
My teaching style
My teaching style is student-centered and interactive, blending clear explanations with hands-on problem-solving to make complex topics like Further Maths and Physics feel intuitive and exciting. Drawing from my four years of A-Level tutoring and volunteering with kids at a local orphanage, I start by assessing each student’s unique needs, whether they’re visual learners who thrive on diagrams or those who grasp concepts best through real-world examples like coding algorithms to model calculus problems. I break down abstract ideas, such as proofs in Real Analysis or Big O notation from my McGill Algorithms course, into bite-sized steps with analogies (e.g., recursion as stacking pancakes), then reinforce them via practice problems, quick quizzes, and tech tools like Python simulations or GeoGebra for dynamic visuals. This adaptive approach, honed through hackathon wins like SymLang (gesture-based coding AI) and internships where I optimized queries by 40%, ensures steady progress, I celebrate small wins, encourage questions without judgment, and adjust pace on the fly, turning frustration into confidence. Students leave sessions not just understanding the material, but loving the “aha!” moments that stick long-term, much like how I leveled up my own A*s in Maths and Physics.
My past experience
Yes, I have substantial hands-on tutoring experience that directly prepares me for Study Mind. For four years, I’ve tutored A-Level students part-time in Maths, Further Maths, and Physics, helping them master challenging topics like integration techniques, vector calculus, and mechanics, many achieving A/A* grades through targeted practice and conceptual clarity.
My Proudest Achievements
Co-founding Nuclear, an AI notetaking startup hitting 100 users and 40% monthly growth with semantic search (95% accuracy), plus securing three educational partnerships, turned ideas into scalable reality.
I teach
- SAT
- Further Maths
- Maths
- Statistics
- Mechanics
- Pure Maths
- Algebra
- Calculus
- Geometry
- Trigonometry
- Chemistry
- Physics
- Guitar
- C++
- C Sharp
- CSS
- Coding
- Computer Graphics
- Computer Science
- Game Development
- HTML
- Java
- Linux
- MATLAB
- Mathematica
- Microsoft Office
- Objective-C
- MySQL
- Python
- R Programming
- Ruby On Rails
- Unix
- Typescript
- Visual Basic
- Web Design
- Wordpress
My Results and Achievements
- A*AAAA at A-Level
- A*A*A*A*A*A*AA at GCSE
- 1400 in SAT
- Mathematics and Comp Sci at McGill University
- Gotten into UCL-Manchester-Warwick-Nottingham