B.Tech CSE | BS Data Science @ IIT Madras Exploring DSA ⚙️ AI 🤖 Automation 💡 Learning in public & building @Cimplifie | Data Science Intern @ Airtel Digital
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
llm-bench
June 12, 2026 – Present
LLM API latency benchmarker: TTFT p50/p95/p99, tokens/sec, cost per call. Percentiles, not averages.
View Projectcode-reviewer
June 12, 2026 – Present
uses gemini to scan code for bugs performance and security
View Projectiicpc-benchmarking-platform
June 11, 2026 – Present
iicpc-benchmarking-platform — GitHub repository
View Projectgitrade
May 25, 2026 – Present
A futures market inside a GitHub repo. Trade $STAR, $COMMIT, $FORK. Submit a bot via PR.
View Projectqrscholes
May 20, 2026 – Present
Black-Scholes options pricer inside a QR code -- 731 bytes of HTML
View Projectsaksham10arora-dotcom.github.io
May 19, 2026 – Present
Personal notes, wiki and blog — powered by Quartz
View Projectimc-prosperity-4
May 8, 2026 – Present
This respository contains our writeup and code for the IMC Prosperity 4 trading competition, where we ranked in the top 1% (154th out of 18000+ teams) after 5 algorithmic and manual rounds.
View ProjectSimple-HFT-Engine
January 31, 2026 – Present
Lock-free C++20 order-matching engine. 2.7M ops/sec, p99 900ns latency, 21 tests.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards personal, technically challenging projects, indicating a strong drive for self-directed learning and innovation. However, the lack of team-based projects or contributions to open source (beyond personal repos) makes it difficult to assess collaboration and broader cultural fit. The target role is an intern position, which often values eagerness to learn and foundational technical skills, aligning with the candidate's demonstrated project work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approach, or communication style.