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║  "Building robust AI systems that work in production,          ║
║   not just in notebooks"                                       ║
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class GauthamPrabhu:
    def __init__(self):
        self.role = "Software Engineer 2 @ Cisco Systems"
        self.team = "AI Acceleration Team"
        self.location = "Bengaluru, India 🇮🇳"
        self.education = {
            "degree": "B.Tech in Computer Science & Engineering",
            "institution": "Manipal Institute of Technology",
            "cgpa": "8.91/10",
            "specialization": "Big Data Analytics (Minor)",
            "graduation_year": "2024"
        }
        self.research = {
            "collaborations": ["IIT Kharagpur", "IISc Bangalore"],
            "publications": 6,
            "citations": "40+",
            "domains": ["Healthcare AI", "Quantum ML", "Computer Vision", "NLP"]
        }
        
    def current_focus(self):
        return [
            "🤖 Building AI agents for supply chain automation",
            "🔍 RAG-based knowledge systems (35% incident resolution)",
            "👁️ Computer vision for manufacturing quality control",
            "📊 Observability & monitoring with Splunk & Grafana",
            "⚡ Low-latency microservices on Kubernetes"
        ]
    
    def achievements(self):
        return {
            "cisco_competition": "2nd Runner-Up in Intern Case Study Competition",
            "hackathons": ["Smart India Hackathon 2022 Grand Finalist",
                          "QETCI Global Quantum Hackathon Finalist (Top 16/1600+)"],
            "scholarships": ["NTSE State Scholar (Rank 21/151,000)",
                           "$10,200 MeitY Research Grant",
                           "$13,000 Project Kalpana Grant"],
            "leadership": ["Co-founder & Technical Head - Project Kalpana",
                          "General Secretary & Treasurer - ACM Manipal",
                          "Technical Head - Astronomy Club of Manipal"]
        }
    
    def philosophy(self):
        return "Code that ships > Code that impresses"

AI Acceleration Team • Oct 2025 – Present • Bengaluru, Karnataka

• 🤖 Developed agent-based AI workflow to automate service requests and resolve at least 35% production incidents autonomously through automated remediation strategies, reducing MTTR metrics
• 👁️ Developed and deployed a computer vision system for edge gap detection in Paladin connectors at the factory to minimize manual errors
• 📊 Integrated SplunkAI observability platform and modernized metrics and trace collection
• 🔗 Built RAG-based knowledge systems to reduce mean time to resolution for production incidents
• Tech Stack: Python, FastAPI, Kubernetes, Docker, Splunk, OpenCV, LangChain, LangGraph, LangSmith

Supply Chain Transformation • Aug 2024 – Sep 2025 • Bengaluru, Karnataka

• 🏗️ Core contributor to Cisco's Quality Transformation Program, designing data pipelines and metrics calculation engines that streamlined quality assessment workflows
• ⚡ Migrated legacy monolithic services to low-latency microservices architecture using FastAPI for improved scalability and maintainability
• 🤖 Integrated agentic AI into workflow for failure analysis and predictive maintenance
• 📈 Set up monitoring infrastructure using Prometheus and Grafana with SLA tracking dashboards
• Tech Stack: FastAPI, Cassandra, Redis, Kubernetes, Prometheus, Grafana, Python

Supply Chain Organisation • Jan 2024 – Jun 2024 • Bengaluru, Karnataka

• 🛡️ Designed and implemented production-grade backend microservices used by test engineers within Cisco
• 🚀 Reduced deployment time by 99.45% (from 6 hours to under 2 minutes) by developing Jenkins pipelines and containerizing code on Docker
• 📝 Developed automated release note generation system using Jira API, improving cross-team collaboration
• 🏆 Secured 2nd Runner-Up in Cisco's Intern Case Study Competition for developing NLP-based supplier name standardization system
• Tech Stack: Python, Flask, Jenkins, Docker, Kubernetes, REST APIs, OpenAPI

Summer Research Intern, Medical Informatics Lab • Jun 2023 – Aug 2023
Mentor: Dr. Subhamoy Mandal

• 🏥 Developed cross-attention vision transformers fusing thermal OCT signatures with OCT structural maps for identifying age-related macular degeneration
• 🔄 Worked on understanding correlations between different color spaces (RGB, HSV, Thermal) on macular images
• 🧬 Designed a dual-encoder pipeline processing thermal–OCT pairs and frequency-enhanced inputs separately before attention fusion
• 📊 Evaluated model on public OCT datasets for retinal-layer disruption and lesion boundary differentiation

Research Intern, Cybersecurity and Quantum Computing Group • Feb 2022 – Nov 2023
Mentor: Dr. Vivekananda Bhat K

• 🔬 Implemented and benchmarked quantum architectures: QSVC, Pegasos QSVC, and hybrid quantum neural networks (QNNs) for ECG-based cardiovascular disease detection
• 📈 Conducted comprehensive ablation studies on quantum feature maps, circuit depth, and entanglement patterns
• 🏆 Published in IEEE Access (Q1) with 30+ citations
• 💰 Supported by $10,200 MeitY grant from Ministry of Electronics and IT (MeITY-AWS QCAL program)
• 🥈 Selected as finalist in QETCI Global Quantum Hackathon 2022 (Top 16/1600+ teams from 25+ countries)

Undergraduate Researcher, Biometrics and Software Engineering Group • Jul 2022 – Oct 2023
Mentor: Dr. Srikanth Prabhu

• 🔍 Developed attention-enhanced and residual U-Net architectures for retinal vessel segmentation with CLAHE preprocessing
• 🔐 Integrated end-to-end encryption (Diffie-Hellman + AES-256) forming a privacy-preserving framework for secure medical image analysis
• 🏥 Presented software to Department of Ophthalmology at Kasturba Medical College, Manipal
• 📚 Published in Springer LNCS and contributed to systematic review in IOP Journal of Physics

Undergraduate Researcher • Sep 2022 – Jul 2023
Mentor: Dr. Nisha P. Shetty

• 🤖 Fine-tuned BERT and XLNet transformers on COVID-19 ANTi-Vax dataset for vaccine misinformation classification, achieving 94.84% accuracy
• 🕸️ Constructed Reddit user association graph and applied community detection algorithms to identify high-leverage misinformation nodes
• 📄 Published in Procedia Computer Science and presented at ICMLDE 2023

1. QuCardio: 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), vol. 11, pp. 136122–136135, 2023
   Citations: 30+ | DOI: 10.1109/ACCESS.2023.3338145

2. Addressing Vaccine Misinformation on Social Media by leveraging Transformers and User Association Dynamics
   C. Rao, G. M. Prabhu, A. R. Kumar, S. Gupta, N. P. Shetty
   Procedia Computer Science (ICMLDE 2023), vol. 235, pp. 1803–1813, 2024
   DOI: 10.1016/j.procs.2024.04.171

3. VIKAS: A Multimodal Framework to Aid in Effective Disaster Management
   G. M. Prabhu, T. Gupta, M. V. Srujan, A. R. Soumya, A. Palorkar, A. Chowdhury
   ATIS 2022 — Springer CCIS, vol. 1804, 2023
   DOI: 10.1007/978-981-99-2264-2_22

4. EyeEncrypt: A Cyber-Secured Framework for Retinal Image Segmentation
   G. Hegde, S. Gupta, G. M. Prabhu, S. V. Bhandary
   ATIS 2022 — Springer CCIS, vol. 1804, 2023
   DOI: 10.1007/978-981-99-2264-2_9

5. A Systematic Review of Deep Learning Approaches for Vessel Segmentation in Retinal Fundus Images
   G. Hegde, S. Prabhu, S. Gupta, G. M. Prabhu, A. Palorkar, M. V. Srujan, S. V. Bhandary
   IOP Journal of Physics: Conference Series, vol. 2571, pp. 012021, 2023
   DOI: 10.1088/1742-6596/2571/1/012021

6. Exploring Design Optimisation Techniques of a Radio Telescope using Fixed Costing Constraints
   A. A. Iyer, G. M. Prabhu, T. Gupta, S. Deshmukh, R. Rivankar
   IOP Journal of Physics: Conference Series, vol. 2571, pp. 012031, 2023
   DOI: 10.1088/1742-6596/2571/1/012031

• SatelTensor: Satellite Data Exploration via Tensor Decomposition
  TCML Workshop, Indian Institute of Science (IISc), Bengaluru, 2023
  Co-presented with Shourya Gupta

• Enhanced Analytics and Procedural Decision-Making for Ocular Diagnostics using Multi-Modal Data
  Digital Health Symposium, IIT Kharagpur, 2024
  Co-presented with Shourya Gupta, Suryaansh Rathinam

Smart India Hackathon 2022 Grand Finalist | Live Demo

• 🌊 Built real-time disaster response platform analyzing social media posts with BERT-based text classification and YOLOv5 disaster image analysis
• 🗺️ Created live severity-mapping dashboard with geolocation tracking and priority-based alerts
• 🏅 Presented to National Disaster Response Force at Smart India Hackathon finals
• 📄 Published: Springer CCIS / ATIS 2022
• Tech Stack: Python, Flask, PostgreSQL, YOLOv5, BERT, OpenCV, Twitter API

Full-Stack E-commerce for Rural Handicrafts

• 🎨 Comprehensive Flask-based application designed to facilitate sale of handicrafts for rural women empowerment
• 🔐 Role-based access control, JWT authentication, and admin console
• 💳 Integrated payments gateway within RESTful architecture
• Tech Stack: Flask, SQLAlchemy ORM, PostgreSQL, JWT, HTML/CSS/Bootstrap

Real-Time Computer Vision Pipeline

• 🛣️ Enhanced computer vision pipeline combining Canny edge detection, Hough transforms, and polynomial regression
• 📡 Integrated LiDAR point cloud processing with Point Cloud Library (PCL) for low-visibility conditions
• ⚡ Real-time lane boundary identification adapting to different roads and weather
• Tech Stack: Python, OpenCV, NumPy, PCL, LiDAR Processing

Deep Learning for Satellite Image Analysis

• 🌍 Trained CNN and Vision Transformer models on Sentinel-2 satellite imagery for 10-class land-use classification
• 🔄 Compared transfer learning approaches: ResNet50, EfficientNetB3, and Vision Transformer with multispectral band fusion
• Tech Stack: PyTorch, TensorFlow, ResNet50, EfficientNetB3, ViT

• 🥉 2nd Runner-Up - Cisco's Intern Case Study Competition for NLP-based supplier name standardization system
• 🏅 Team Lead & Grand Finalist - Smart India Hackathon 2022 (VIKAS disaster response system, presented to NDRF)
• ⚛️ Grand Finalist - Global Quantum Science and Technology Hackathon 2022 (Top 16/1600+ teams from 25+ countries)

• 🌟 NTSE State Scholar - Rank 21 out of 151,000 participants (National Talent Search Examination)
• 💰 $10,200 Research Grant - MeitY (Govt. of India) and AWS for quantum ML research
• 💰 $13,000 Institutional Grant - Project Kalpana for radio astronomy platform
• 🏆 Thayil Lonappan George Memorial Award - 3rd rank in cohort AISSCE 2020
• 🏆 G Chenthamarakshan Endowment Award - Best Project in Computer Science
• 🥉 3rd Place - Regional Rural IT Quiz (Tata Consultancy Services)

• 📖 ACM Winter School on Optimization for ML and Operations Research at IIT Goa (2023)
• 🌞 Summer School on Dynamic Resource Allocation at IISc Bengaluru (2023)
• 🏥 Presented AI-driven retinal vessel segmentation research at Digital Health Symposium, IIT Kharagpur
• 🇮🇳 Represented Karnataka at national-level PCRA Saksham Quiz (Dept. of Oil and Natural Gas, Govt. of India)

Building Accessible Radio Astronomy • Mar 2023 – Oct 2023

• 🔭 Co-founded student initiative in radio astronomy and worked on designing and assembling early prototype radio telescope
• ⚙️ Led hardware and software development, including signal acquisition and processing using GNU Radio and SDR modules
• 💰 Secured a $13,000 institutional grant for equipment procurement, research, and outreach
• 📄 Published research on radio telescope design optimization in IOP Journal of Physics

Leading 200+ Computing Enthusiasts • Aug 2022 – Aug 2023

• 👥 Oversaw chapter operations, budgeting, and recruitments for 200+ active members
• 🎓 Planning workshops and events on machine learning, cloud computing, and competitive programming
• 💼 Managed annual funding, sponsorships, and operational logistics for the student technical community

Democratizing Astronomy Education • Aug 2022 – Oct 2023

• 🤖 Led technical sessions on telescope operation, website development, and deep space astrophotography
• 📸 Conducted workshops on image stacking, calibration, and star tracking API automation
• 🌟 Mentored students and coordinated observation setups for celestial events and campus astronomy outreach

Bachelor of Technology in Computer Science and Engineering
Aug 2020 – May 2024 | CGPA: 8.91/10

• 📊 Minor Specialization: Big Data Analytics
• 🔬 Research Areas: Quantum ML, Healthcare AI, Computer Vision, NLP
• 🏆 Awards: Best Project in Computer Science, Multiple Academic Excellence Awards

High School (AISSCE)
2008 – 2020 | Percentage: 95.60%

• 🎓 Optimization for Machine Learning and Operations Research — ACM Winter School, IIT Goa (Dec 2022)
• 🌞 Summer School on Dynamic Resource Allocation Problem — Center for Networked Intelligence, IISc Bengaluru (Jul 2023)
• 📊 Big Data Specialization — University of California, San Diego (Coursera)
• 🧠 Deep Learning Specialization — DeepLearning.AI (Coursera)

Every coffee fuels late-night coding sessions and breakthrough research! 🚀

If my work inspires you, a coffee goes a long way in keeping the momentum alive!

Built with ☕, curiosity, and countless iterations

"From quantum circuits to production systems, from research papers to real-world impact"