# Vijay Srinivas P — novaihq

> Vijay Srinivas P is an AI researcher and research engineer building the Operational Intelligence Engine at novaihq. First-author across **three peer-reviewed venues** (IEEE APSCON 2026 — Best Paper Nominee · CVPR MMFM-BIOMED 2026 · ACL Student Research Forum 2026), AI Research Intern at Carnegie Mellon University SCS, and ex-R&D GenAI Intern at Schneider Electric where he shipped a production GPU-accelerated RAG system on NVIDIA H100 handling 1,000+ daily queries at 95% accuracy with a 90% latency reduction.

## About

- **Name:** Vijay Srinivas P
- **Site:** https://novaihq.tech
- **Role:** AI Research Intern at Carnegie Mellon University SCS · Founder of novaihq · ex-R&D GenAI Intern at Schneider Electric
- **Education:** B.Tech CSE (AI), Amrita Vishwa Vidyapeetham, Coimbatore — Class of 2027
- **Email:** vijay.srinvas06@gmail.com
- **GitHub:** https://github.com/N0VA06
- **LinkedIn:** https://www.linkedin.com/in/vijay-srinivas-9571942ab
- **Hugging Face:** https://huggingface.co/spaces/IINOVAII/mimic-discharge-env-v2

## Headline numbers

- **3** first-author peer-reviewed papers (IEEE APSCON, CVPR, ACL)
- **Best Paper Nominee** at IEEE APSCON 2026
- **Top 100 of 31,000** teams at the Meta PyTorch OpenEnv Hackathon
- **70 % parameter reduction** on transformer positional embeddings (RotaryHybrid)
- **90 % latency reduction** on production RAG at Schneider Electric (H100, 100+ concurrent users)
- **31.6 % improvement** in limited-data NLP (Cohen's d = 8.43, p < 0.001)
- **CKA ≥ 0.993** documenting representational collapse across 12 frozen biomedical foundation models
- **30–40 % annotation-cost reduction** target for active-learning research at Carnegie Mellon SCS

## Detailed sources

- [/about](/about) — full static HTML profile (no JavaScript required, includes JSON-LD Person schema)
- [/journey](/journey) — chronological journey of all milestones
- [/system](/system) — current build at novaihq (Operational Intelligence Engine)
- [/contact](/contact) — direct contact channels

## Open to

Research collaborations and engineering roles in: neuroimaging machine learning, transformer architecture research, GenAI / agentic systems, and applied AI infrastructure.