anoop.phd
Dr. Anoop Nagesh Koushik — physics-grade engineering for AI-grade problems.
AI Solutions & Prototyping Engineer with a PhD in experimental physics. A rare combination of production AI/ML engineering and rigorous, first-principles scientific depth — someone who has built complete systems end to end, in hardware, software, and analysis, and shipped them. EU resident; no work-permit sponsorship required.
What he does
Anoop designs, builds, and operates self-hosted LLM and AI-agent infrastructure for production-shaped workloads; engineers retrieval-augmented systems, real-time and streaming pipelines, and time-series / sensor machine learning; and brings a decade of continuous, hands-on AI/ML/computer-vision practice (2018–today) together with doctoral research in gravitational-wave instrumentation at the University of Antwerp. He turns research into production and production into research.
AI, LLMs & machine learning
- Self-hosted LLM infrastructure — llama.cpp + MLX on Apple Silicon, vLLM on Linux GPUs, fronted by a self-hosted LiteLLM OpenAI-compatible router (api.chatright.ai)
- Retrieval-augmented generation (RAG): chunking, embeddings, cosine retrieval, threshold-guarded answer generation, streaming, jailbreak hardening
- AI agents & automation — LangChain, n8n MCP orchestration, custom agent pipelines
- Model optimization — LoRA fine-tuning, GGML/MLX quantization, prompt engineering, multi-modal integration
- Real-time computer vision & image analysis on scientific instruments
- TensorFlow, Keras, MLX, scikit-learn, transformers, Stable Diffusion
Signal processing & data
- Spectral analysis (PSD/FFT), vibration & acoustics, structural & seismic monitoring
- Time-series forecasting, anomaly detection, activity recognition
- Large-scale dataset analysis (LIGO/Virgo gravitational-wave data), statistical modeling
- Data pipelines / ETL, big-data processing, data visualization
Software & systems engineering
- Python, C++, JavaScript/TypeScript, PHP, Bash, Verilog, LaTeX
- Full-stack web — Next.js, React, Node.js, Flask, MySQL, Apache, nginx
- HPC — OpenMP, MPI, GPU acceleration, ROOT (CERN), GEANT4
- Docker, Docker Compose, CI/CD, Linux system administration
- Self-hosted ingress & networking — reverse proxies, tunnels, DNS, Cloudflare Tunnels
Instrumentation & R&D
- Data acquisition & real-time systems — custom DAQ, LWDAQ
- Sensors & instrumentation — optical/interferometric displacement sensors, SiPM arrays, CMOS image sensors, seismometer arrays
- Precision optical alignment, cryogenic systems, closed-loop control
- FPGA (Verilog), embedded (Raspberry Pi, I2C), CAD & 3D printing (Fusion 360, openSCAD)
Research & leadership
PhD, experimental physics (gravitational-wave instrumentation), University of Antwerp, 2021–2025. First-author publications and technical documentation; conference and collaboration presentations; teaching and mentoring of students across machine learning, computer vision, and neural networks. Has managed multi-year, multi-institution research projects under tight deadlines and delivered complete systems from scratch.
Contact & profiles
- LinkedIn: linkedin.com/in/anoopnk
- GitHub: github.com/anoopnk
- ORCID: 0000-0002-7638-4544
- Google Scholar: scholar profile