Building AI that
ships and scales.
I'm Gautham Manuru Prabhu — I build agentic AI for Cisco's global supply chain and research temporal graph learning at MiCoSys Lab, SJSU.
Promotions in 18 mo
Peer-reviewed papers
CGPA · Top 15%
MTTR reduction
Engineer. Researcher. Builder.
I ship AI systems that move operational metrics — and publish the science behind them.
I went from intern to SE2 in 18 months on Cisco's AI Acceleration team, shipping agentic systems that save ~5,000 engineer-hours a quarter. In parallel, I research efficient temporal graph learning at MiCoSys Lab, SJSU — with six peer-reviewed publications across IEEE, Springer, and IOP.
EDUCATION
B.Tech, Computer Science & Engineering
Manipal Institute of Technology
2020 – 2024 · Minor in Big Data Analytics · Top 15% of cohort
CURRENTLY
SE2, AI Acceleration — Cisco Systems
Agentic AI for global supply chain ops
RESEARCH
MiCoSys Lab, SJSU
Efficient temporal graph neural networks
RECOGNITION
2× promoted in 18 months
Intern → SE1 → SE2 on the same team
BASED IN
Bengaluru, India
Open to global collaboration
Track record.
Intern to SE2 at Cisco in 18 months · research across four institutions.
Software Engineer 2 — AI Acceleration
CurrentCisco Systems Inc.
- Ship agentic AI for case resolution and knowledge retrieval — 20% of cases resolved autonomously, case volume down 35%, MTTR down 40%.
- Systems save ~5,000 engineer-hours per quarter across global supply chain operations.
- Built failure-analysis and predictive-maintenance agents for the Quality Transformation Program.
- Own the LLM research-to-production pipeline end to end: retrieval quality, evaluation, guardrails.
Software Engineer 1 — Supply Chain Ops
Cisco Systems Inc.
- Promoted to SE2 within 12 months.
- Re-architected legacy failure analysis into event-driven microservices on Kubernetes.
- Built ML anomaly detection over manufacturing telemetry, with SLA dashboards and alerting.
- Hardened the ingestion and serving layer the current agentic systems run on.
SE Intern — Supply Chain Organisation
Cisco Systems Inc.
- Converted to full-time SE1 in 6 months.
- Cut deployment time 99.45% (6 hours → 2 minutes) with Jenkins, Docker, and Kubernetes CI/CD.
- 2nd Runner-Up, Cisco Intern Case Study — NLP supplier-name standardisation across 50,000+ records.
Selected work.
Agentic AI, quantum ML, disaster response, and data systems.
SatelTensor
Tensor methods for satellite data
Tucker and CP tensor decomposition over satellite image stacks — dimensionality reduction that preserves spatio-temporal structure.
Tools of the trade.
The stack behind production agents and published research.
AI / ML
Languages
Backend & APIs
Data & Storage
DevOps & Cloud
Peer-reviewed research.
Six publications across IEEE Access, Springer, Procedia CS, and IOP.
Google Scholar profileQuCardio: Application of Quantum Machine Learning for Detection of Cardiovascular Diseases
S. Prabhu, S. Gupta, G. M. Prabhu, A. V. Dhanuka, K. V. Bhat
IEEE Access (Q1) · IEEE Access, vol. 11, pp. 136122–136135, 2023
Addressing Vaccine Misinformation on Social Media by Leveraging Transformers and User Association Dynamics
Rao, C., Prabhu, G.M., Kumar, A.R., Gupta, S., Shetty, N.P.
Procedia Computer Science · Procedia CS, vol. 235, pp. 1803–1813, 2024 (ICMLDE 2023)
VIKAS: A Multimodal Framework to Aid in Effective Disaster Management
Prabhu, G.M., Gupta, T., Srujan, M.V., Soumya, A.R., Palorkar, A., Chowdhury, A.
Springer CCIS · ATIS 2022 — Springer CCIS, vol. 1804, 2023
EyeEncrypt: A Cyber-Secured Framework for Retinal Image Segmentation
Hegde, G., Gupta, S., Prabhu, G.M., Bhandary, S.V.
Springer CCIS · ATIS 2022 — Springer CCIS, vol. 1804, 2023
A Systematic Review of Deep Learning Approaches for Vessel Segmentation in Retinal Fundus Images
Hegde, G., Prabhu, S., Gupta, S., Prabhu, G.M., et al.
IOP J. Physics: Conference Series · IOP J. Physics: Conf. Ser., vol. 2571, pp. 012021, 2023
SatelTensor: Satellite Data Exploration via Tensor Decomposition
Prabhu, G.M., Gupta, S.
TCML Workshop, IISc · Tensor Computation & ML Workshop — IISc Bengaluru, 2023
Recognition & leadership.
National competitions, research honours, and professional milestones.
Awards & Recognition
2nd Runner-Up — Cisco Intern Case Study Competition
NLP-based Supplier Name Standardisation pipeline across 50,000+ records. 100+ entries.
Thayil Lonappan George Memorial Endowment Award
3rd rank in All India Senior School Certificate Examination (AISSCE) 2020.
Mr. G. Chenthamarakshan Endowment Award
Best Project in Computer Science.
NTSE State Scholar
National Talent Search Examination — Rank 21 out of 151,000+ participants.
Hackathons & Competitions
Grand Finalist — Global Quantum Science & Technology Hackathon
Top 16 teams from 1,600+ entries across 25+ countries — quantum ML track.
Grand Finalist — Smart India Hackathon
Led a team of 6 to build VIKAS, a multimodal disaster-response platform. Top team from 1,000+ national entries.
Leadership
Co-founder & Technical Head — Project Kalpana
Secured $13,000 grant; led 8-person team building an affordable radio-astronomy platform for undergraduates.
General Secretary & Treasurer — ACM Student Chapter, Manipal
Organised 12+ workshops and hackathons; grew chapter participation by 35%.
Technical Head — Astronomy Club of Manipal
Led 5+ technical projects; ran outreach sessions reaching 200+ students.
Schools & Programmes
ACM Winter School on Optimization for ML & OR
Selected participant — IIT Goa.
Summer School on Dynamic Resource Allocation
Center for Networked Intelligence — IISc Bengaluru.
Digital Health Symposium
Selected presentation — IIT Kharagpur.
Let's build something
together.
Open to collaborations on agentic AI, graph ML, and applied research. Email is fastest.
Say hello© 2026 Gautham Manuru Prabhu
Bengaluru, India