Jaya Sabarish Reddy Remala
Software Engineer · Qualcomm Edge AI Hackathon Winner · Agentic AI & Distributed Infra at Scale
Prev @ NYU IT High-Speed Research Network, Shell, Wipro
I build AI systems that work under real production pressure. At NYU, I cut RAG query latency by 78% on a Multi-Agent research engine serving 3K+ RPS, and pushed LLM inference to 15ms on Snapdragon NPUs via QLoRA + AWQ quantization. Before that, I kept Shell's maritime telemetry alive 115GB/day, 200+ offshore stations, zero data loss.
PreviouslyEnergy·Bioinformatics·Scientific Research
Excited inHealth Care·Finance·Consumer Space (Entertainment and Retail)·& more
Currently, I'm obsessed with recommendation systems and the search technology at scale, where it powers the way humans think and behave with intention and responsibility.
Featured Projects
All projects →SnapLog – Edge AI Security Engine
🏆 WinnerAchieved 15ms token latency on Snapdragon NPUs — a 10× improvement over cloud inference — by fine-tuning Llama 3.2 3B on security logs with QLoRA and deploying via 4-bit AWQ quantization through ONNX Runtime on-device. Guaranteed zero data loss during network partitions via an offline-first SQLite buffer with background sync workers.
Multi-Agent Research Discovery Engine
Production LangGraph + Llama 3.1 70B system that semantically maps global researcher collaboration networks by indexing millions of papers from Elsevier's Science Direct/Scopus. Cut P99 RAG latency by 78% with Write-Through Redis caching; sustained 99.9% uptime at 3,000+ RPS on AWS ECS.
CodeCollab – Real-Time Collaborative Code Editor
Conflict-free simultaneous multi-user editing using Yjs (CRDTs) and WebSockets, scaled horizontally via Nginx load balancing across containerized instances. Increased AI auto-complete context quality by 65% with a Context-Aware Coding Agent using AST-based chunking and Voyage-Code-2 embeddings.
Skills & Tools
Languages
AI & Agents
Systems & Cloud
Frameworks & Databases
Certifications
Testimonials
1 / 5Sabarish is an intuitive and intelligent person, who has offered me solutions in the most difficult times and helped me at multiple occasions. He is prompt, hardworking with a knack for technology, and an absolute delight to work with!
Dec 2022
Get in Touch
Open to software engineering roles in AI/ML infrastructure, distributed systems, and full-stack. Healthcare, frontier research, and energy tech are my focus — but excited by any hard problem.