{
  "name": "Saksham Arora",
  "title": "Systems & Quant Engineer",
  "tagline": "Low-latency C++, HFT, derivatives pricing, ML/AI pipelines.",
  "location": "India",
  "canonical": "https://portfolio-silk-theta-96.vercel.app",
  "email": "saksham10arora@gmail.com",
  "socials": {
    "github": "https://github.com/saksham10arora-dotcom",
    "linkedin": "https://linkedin.com/in/saksham-arora10",
    "twitter": "https://x.com/saksham10arora"
  },
  "education": [
    {
      "institution": "IIT Madras",
      "program": "Online BS, Programming and Data Science",
      "period": "2024 - 2028"
    },
    {
      "institution": "GGSIPU",
      "program": "B.Tech, Computer Science and Engineering",
      "period": "2024 - 2028"
    }
  ],
  "bio": "Systems and quant engineer from India. I build low-latency C++ systems, algorithmic trading engines, and quantitative models. My HFT matching engine hits 2.7M ops/sec at p99 900ns. I placed top ~0.8% globally at IMC Prosperity 4 out of 18,800+ teams. I care about performance numbers, market microstructure, and tools that do one job extremely well.",
  "experience": [
    {
      "role": "Data Science Intern",
      "org": "Airtel",
      "period": "Jun 2026 - Jul 2026",
      "summary": "Data pipelines, analysis, and ML workflows on large-scale telecom datasets."
    },
    {
      "role": "Data Engineering Intern",
      "org": "Cimplifie",
      "period": "Oct 2024 - Present",
      "summary": "Built ETL pipelines and automation that cut manual data scraping by 70%."
    },
    {
      "role": "Quantitative Trader",
      "org": "IMC Prosperity 4",
      "period": "2025",
      "summary": "Overall rank 154 of 18,800+ teams (top ~0.8%). Market-making, arbitrage, and statistical arbitrage strategies. Best rounds: R1 #90, R3 #84."
    }
  ],
  "projects": [
    {
      "name": "HFT Matching Engine",
      "category": "Systems / C++",
      "stack": ["C++20", "Lock-Free", "SPSC Ring Buffer", "Order Book", "CMake"],
      "url": "https://github.com/saksham10arora-dotcom/Simple-HFT-Engine",
      "summary": "Limit order book engine at 2.7M ops/sec, p99 900ns, a 3.31x improvement over a mutex baseline. Price-time priority matching, lock-free SPSC ring buffer, 21 correctness tests."
    },
    {
      "name": "IMC Prosperity 4",
      "category": "Quant / Trading",
      "stack": ["Python", "Algorithmic Trading", "Market Making", "Arbitrage"],
      "url": "https://github.com/saksham10arora-dotcom/imc-prosperity-4",
      "summary": "Top ~0.8% globally (overall rank 154) of 18,800+ teams. Market-making, arbitrage, and statistical arbitrage strategies under live competition conditions."
    },
    {
      "name": "gitrade",
      "category": "Systems / Web",
      "stack": ["TypeScript", "GitHub Actions", "SVG", "WebSockets", "GitHub Pages"],
      "url": "https://github.com/saksham10arora-dotcom/gitrade",
      "summary": "A live 3-ticker exchange engine that runs entirely inside a GitHub README, with a real limit order book, live SVG charts, and a leaderboard."
    },
    {
      "name": "qrscholes",
      "category": "Quant / Tools",
      "stack": ["Python", "Black-Scholes", "QR Code", "Options Pricing"],
      "url": "https://github.com/saksham10arora-dotcom/qrscholes",
      "summary": "A complete Black-Scholes options pricer (pricing, Greeks, implied vol) compressed into 731 bytes and encoded in a single scannable QR code."
    },
    {
      "name": "llm-bench",
      "category": "Tools / AI",
      "stack": ["Python", "CLI", "Groq", "Anthropic", "OpenAI", "Streaming"],
      "url": "https://github.com/saksham10arora-dotcom/llm-bench",
      "summary": "Multi-provider LLM inference benchmarker measuring TTFT, inter-token latency (p50/p95/p99), and throughput across Groq, Anthropic, and OpenAI. 28/28 tests passing."
    },
    {
      "name": "IICPC Benchmarking Platform",
      "category": "Systems / DevOps",
      "stack": ["Python", "Docker", "Terraform", "Redis", "PostgreSQL", "GCP"],
      "url": "https://github.com/saksham10arora-dotcom/iicpc-benchmarking-platform",
      "summary": "Sandboxed multi-engine HFT benchmarking platform with multiplicative scoring (correctness x completeness x speed) and 9 anti-cheat validators. Diagnosed a TCP_NODELAY omission yielding 27x peak throughput gain. 25/25 tests."
    },
    {
      "name": "OrbitOps",
      "category": "Full-Stack / ML",
      "stack": ["React", "TypeScript", "FastAPI", "scikit-learn", "Supabase", "Open-Meteo", "Leaflet"],
      "url": "https://github.com/saksham10arora-dotcom/orbit-ops",
      "live": "https://orbit-ops-mu.vercel.app",
      "summary": "Rebuilt a broken hackathon demo into a production air quality tracker. Real-time AQI/PM2.5/NO2/O3 via Open-Meteo for any city, serverless FastAPI on Vercel, per-request Random Forest forecasting with confidence intervals, Supabase auth."
    }
  ],
  "skills": {
    "systems": ["C++20", "Lock-Free", "SPSC/MPMC", "Order Books", "CMake", "Atomics", "Memory Layout", "Benchmarking", "Linux", "Git"],
    "quant": ["Python", "NumPy", "Pandas", "Scikit-learn", "Black-Scholes", "Market Making", "Backtesting", "Statistics", "TypeScript", "React"],
    "ai_ml": ["Python", "Scikit-learn", "PyTorch", "Pandas", "LLMs", "Prompt Engineering", "MCP", "Agentic Workflows", "Feature Engineering", "Backtesting"]
  }
}