sricharansripad
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Location: Liverpool, UK Remote: Yes (UK/EU time zones) Willing to relocate: Yes, within the UK Technologies: Python, PyTorch, Hugging Face Transformers, LLM evals, fine-tuning, RAG (FAISS/Chroma), FastAPI, Docker, GitHub Actions, AWS/GCP Résumé/CV: https://charansripadi.github.io GitHub: https://github.com/Charansripadi Email: sricharansripadi618@gmail.com
AI/ML engineer (MSc Advanced AI & Data Science, University of Liverpool; BTech AI & DS, 9.4/10). I build evals and small fine-tuned models that ship.
- TinyJudge: fine-tuned ModernBERT judge for AI agent responses (policy, tool choice, grounding). 88.0% on a hand-labelled test set vs 81.2% for a 27B LLM judge; a cascade hits 89.9% while escalating only 35% to the LLM. CI with a quality gate, Docker image, versioned on the HF Hub. - Real-time drowsiness detection: CV web app at 24 FPS, 95% accuracy over 200+ sessions. - Speech emotion recognition: 7 classes, 88% on 10k samples, <300 ms inference, deployed on AWS.
Looking for: ML engineer / AI engineer roles and internships, especially LLM evals, agents or applied ML at early-stage startups. Happy to do a small paid trial task first.