Karan Singh

I am a CS engineer working in Machine Learning and High-Performance Systems, with a background in in research software and working on tools for communities including HEP Software Foudnation, Scikit-HEP. Experimenting/Exploring domains such as low-latency infrastructure, distributed systems, and empirical AI evaluation.

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⚡Scientific & High-Performance Computing

Project	Problem $\rightarrow$ Solution	Core Tech
RNTuple-Arrow-Gateway	Converting physics data between formats wastes memory $\rightarrow$ A C++ gateway enabling zero-copy data flow to Apache Arrow.	C++17 Apache Arrow ROOT
AXON-HLT	Real-time AI decisions choke single machines $\rightarrow$ Offloads compute to NVIDIA Triton via dynamic batching under a 7ms budget.	C++ NVIDIA Triton
E-QUEST	Accuracy metrics ignore energy costs $\rightarrow$ A framework measuring physical power and memory for classical vs. quantum ML.	Quantum ML PyTorch
WebROOT_X	Server-side physics analysis doesn't scale sustainably $\rightarrow$ Runs C++ physics kernels directly in the browser via WebAssembly.	C++17 WebAssembly

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🧠 Machine Learning & AI Evaluation

Project	Problem $\rightarrow$ Solution	Core Tech
StaleBench	RAG pipelines silently return outdated answers when facts change $\rightarrow$ A deterministic benchmark measuring answer freshness.	Python
Valence-Lens	Asking models how they feel is unreliable $\rightarrow$ Uses residual-stream activation probes to read internal states directly.	PyTorch Interpretability
Loyalty-Lens	Models can hide covert allegiances that black-box chats miss $\rightarrow$ Uses white-box probes to detect weight-installed loyalties.	PyTorch
DisElect-Africa	Safety filters are rarely tested on non-Western contexts $\rightarrow$ Audits election disinformation and safety-prompting trade-offs.	Red-Teaming Evals

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🌐 Distributed Systems & Data Infrastructure

Project	Problem $\rightarrow$ Solution	Core Tech
Graviton Scheduler	Standard Kubernetes schedules compute blindly across networks $\rightarrow$ A Go Operator that places jobs where the data physically lives.	Go Kubernetes
Insight-TSDB	Telemetry requires fast storage and live health checks $\rightarrow$ A custom C++17 TSDB paired with a real-time Spark anomaly pipeline.	C++17 Kafka Spark
Distributed-Ops-Hub	Databases crash when nodes fail $\rightarrow$ A leaderless key-value store with consistent hashing and automated chaos-test resilience.	Python gRPC Chaos Testing
Arkhe Archive	Research archives are too heavy to run locally $\rightarrow$ A lightweight, single-command data archive adhering to the FAIR standard.	FastAPI PostgreSQL

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🛠️ Technical Skills

• Core Languages: C++, Python, Go, Bash
• Machine Learning & Evals: PyTorch, NVIDIA Triton/CUDA, Mechanistic Interpretability, Benchmarking
• Systems & Cloud: Kubernetes, Apache Kafka, Apache Spark, gRPC, Docker, PostgreSQL
• Reliability & Rigor: Valgrind (Memory Profiling), GoogleTest, CMake, CI/CD, Chaos Engineering