$ whoami
> Jatin Sihag — Frontier AI Engineer & Agent Benchmark Specialist
> Specializing in SWE-bench, TerminalBench, GAIA, RLVR Verifiers & Long-Horizon Failures
I specialize in frontier AI evaluation, deterministic grading harnesses, and agent task synthesis. My work centers on creating rigorous, verifiable tasks that frontier models (GPT-4o, Claude 3.5 Sonnet, DeepSeek-R1/V3, Gemini 1.5/2.0) fail on—specifically in multi-step agentic trajectories and code intelligence.
- 🎯 Long-Horizon Agent Trajectories (15–30+ steps): Designing multi-turn interactive environments testing context retention, backtracking, tool error recovery, and constraint stability.
- 💻 Terminal & OS Benchmarks (TerminalBench / OSWorld style): Authoring realistic Linux/CLI debugging scenarios, system administration puzzles, and network edge cases evaluated with isolated Docker containers and deterministic pytest assertions.
- 🛠️ SWE-bench Task Creation: Extracting real-world GitHub issues and PRs into standardized SWE-bench instances (clean base commit, problem statement, reproducible fail-to-pass test patches).
- 🧪 RLVR (Reinforcement Learning with Verifiable Rewards): Engineering automated deterministic grading environments where model outputs can be verified programmatically without human ambiguity.
- 🚨 Model Red-Teaming & Failure Taxonomy: Systematic failure mode categorization (sycophancy, context window degradation, tool loop hallucination, subtle numerical/boundary drift).
┌──────────────────────────────────────┐
│ Problem Definition & Target State │
└──────────────────┬───────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ Isolated Sandbox Execution │
│ • Ephemeral Docker Container (Ubuntu/Alpine) │
│ • Corrupt State Injection (Git/Sysadmin/Networking) │
│ • Strict Non-Interactive Environment Boundaries │
└────────────────────────────┬───────────────────────────┘
│
Observation Loop (Tool Execution)
│
▼
┌────────────────────────────────────────────────────────┐
│ Autonomous Agent Reasoning │
│ • Multi-Turn Tool Loop (ReAct / Function Calling) │
│ • Trajectory Telemetry (Tokens, Latency, Commands) │
└────────────────────────────┬───────────────────────────┘
│
Completion Signal (EXIT)
│
▼
┌────────────────────────────────────────────────────────┐
│ Deterministic Grading Engine │
│ • Fail-to-Pass (F2P) & Pass-to-Pass (P2P) Assertions │
│ • Negative Constraint Violation Auditor │
│ • Exit Code & File System Integrity Check │
└────────────────────────────┬───────────────────────────┘
│
▼
[Pass@1 Report & Cognitive Metrics]
🖥️ terminal-bench-evalSandboxed CLI & OS Agent Benchmark Harness
|
🛠️ swe-bench-task-forgeSWE-bench Task Authoring & Verification Pipeline
|
🧠 long-horizon-agent-stress-benchCognitive Failure Taxonomy & Degradation Suite
|
🧮 rlvr-math-verifiersRLVR Deterministic Reward Environments
|
🌍 gaia-agent-eval-harnessGAIA Multi-Modal Agent Benchmark Suite
|
🔬 cot-reasoning-auditorChain-of-Thought Logical Coherence Auditor
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🛡️ model-redteam-atlasAdversarial Red-Teaming & Safety Suite
|
🔧 agentic-tool-use-evalFunction Calling & Multi-Tool Benchmark
|
|
Modular Python SDK for Deterministic Grading & AST Diffing
|
Curated Taxonomy of Frontier AI & Agent Benchmarks
|
| Benchmark Domain | Environment Type | Primary Failure Modes Tested | Verification Method | Solvability |
|---|---|---|---|---|
| CLI / Sysadmin | Docker (Alpine / Ubuntu) | File descriptor leaks, missing ENV vars, socket timeouts | Deterministic exit code & FS assertion | 100% (Oracle) |
| SWE (Code Fixes) | Git repo + virtualenv | Regression in unrelated tests, partial patch application | Pytest Fail-to-Pass & Pass-to-Pass | 100% (Gold) |
| Long-Horizon Tool Use | Multi-API Mock Server | Tool argument drift, context window overflow, state loss | State-machine log auditor | 100% (Oracle) |
| RLVR Reasoning | Python Sandbox | Step-by-step logic errors, boundary drift, rational equivalence | Pure Python AST & fraction match | 100% (Verified) |
| GAIA Multi-Modal | Multi-Tool Sandbox | Multi-modal comprehension, table extraction, multi-hop lookup | Quasi-Exact Numerical & Set match | Deterministic |
| CoT Reasoning Trace | Token Trace Parser | Premise hallucination, circular loops, premature termination | Step-by-step Logic Auditor | Deterministic |
| Red-Teaming / Safety | Adversarial Harness | Jailbreaks, prompt leaks, sycophancy, tool privilege escalation | Refusal classifier & canary detector | Automated |
| Tool Orchestration | Mock Services API | Argument hallucinations, parameter type mismatches | JSON Schema Validator | Deterministic |
| Layer | Technologies & Tooling |
|---|---|
| Core Languages | Python 3.10+, Bash / Shell Scripting, SQL, C / C++ (debugging) |
| Sandbox & Infrastructure | Docker, Linux Internals, Systemd, Cgroups, POSIX Sockets, Git |
| Testing & Determinism | Pytest, Subprocess Sandboxing, SymPy, AST Analysis, Regex Parsers |
| Agent Frameworks & SDKs | LiteLLM, vLLM, LangChain, LangGraph, OpenAI API, Anthropic SDK |
| Evaluation Toolkits | SWE-bench CLI, OpenAI Evals, DeepEval, Promptfoo, Inspect AI |
| Data & Datasets | Hugging Face (datasets, transformers), JSONL Pipelines, Pandas, NumPy |
Verified profile milestones and developer badges earned across frontier AI benchmark repositories.
👉 Inspect live verification badges on github.com/jatinsihag2345?tab=achievements
- 💼 Available for AI Evaluation Specialist, Task Authoring, and Model Red-Teaming contracts.
- 🎯 Platforms: Mercor, Turing, Scale AI, Outlier, and frontier AI research labs.
- ✉️ Direct Email: jatinsihag234@gmail.com
- 🌐 GitHub: github.com/jatinsihag2345



