vinayak-k24 (Vinayak Sudhakar Kone) · GitHub
Skip to content
View vinayak-k24's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Block or report vinayak-k24

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
vinayak-k24/README.md

👋 Hi, I'm Vinayak Kone

☁️ Cloud & AI Engineer | 🤖 Agentic AI Architect | 🏆 Microsoft Certified Professional

LinkedIn Portfolio Google Scholar Email


🎯 Professional Summary

System Engineer at Tata Consultancy Services (TCS) | B.E. Computer Science (2024) | CGPA: 9.26/10 (Top 5%)

Specializing in cloud-native AI applications, agentic automation systems, and enterprise-grade multi-agent architectures across Microsoft Azure and Google Cloud Platform. Expert in building intelligent solutions using Semantic Kernel, AutoGen, MCP Protocol, and Google ADK. Proven track record in optimizing enterprise workflows, reducing latency by up to 800%, and leading teams to victory in national hackathons.


💼 Professional Experience

Tata Consultancy Services Ltd. | System Engineer

May 2025 – Present | Bengaluru, Karnataka

🔹 Procurement Advisor Platform — High-Volume Document Intelligence

Tech: Azure AI Foundry, Azure AI Search, Azure Functions, Cosmos DB, Python, FastAPI

  • Increased throughput by 800% (7→70 queries/request) by enhancing Azure AI Search with custom semantic ranking.
  • Reduced false positive extraction rate by 35% through evaluation-framework-driven quality validation.
  • Enabled reliable downstream decision support without human verification loops.

🔹 Plant Operators AI Advisor — Real-Time Anomaly Detection & RUL Prediction

Tech: Azure ML Studio, Azure Event Hubs, Azure DevOps, Docker, Terraform, SonarQube

  • Achieved 93% anomaly detection and 88% RUL prediction accuracy for real-time operational support.
  • Reduced alert latency from minutes to <500ms by streaming sensor data via Azure Event Hubs.
  • Decreased debugging time from months to hours by integrating AI-assisted SAST/DAST into CI/CD pipelines.
  • Established observability using Azure Monitor and Application Insights, significantly reducing MTTR.

🔹 FTE Matching Automation — Multi-Agent Document Generation

Tech: Azure OpenAI, Semantic Kernel, Azure AI Foundry, Azure Functions

  • Reduced process time from weeks to minutes with zero manual intervention.
  • Achieved 100% document accuracy on first generation using validation agents against enterprise compliance rules.

🔹 Supply Chain Management Platform — Enterprise Data Orchestration

Tech: Microsoft Fabric, Python, Azure SQL, PySpark, Azure Data Factory

  • Engineered backend orchestration for fragmented supply chain data, enabling real-time consistency.
  • Reduced end-to-end data pipeline latency by 45% through optimized PySpark transformations.

🔹 Cross-Cloud AI Experimentation — GCP Vertex AI & Agentic Workflows

Tech: GCP Vertex AI, BigQuery, Google ADK, Cloud Run, Terraform

  • Built serverless agentic AI prototypes on GCP Cloud Run, validating multi-step reasoning patterns.
  • Reduced infrastructure provisioning time by 60% via Terraform IaC.
  • Designed cloud-agnostic MCP integration patterns, reducing future multi-cloud migration effort by 40%.

🏆 Major Achievements

Achievement Details
🥇 1st Place TCS IBM Quantum Hackathon: Led team to architect hybrid quantum-classical arbitrage system (100+ teams).
🥈 Runner-Up Flipkart GRiD Hackathon 2024: Designed scalable supply chain intelligence solution.
📚 Research Published in IEEE, Springer, ScienceDirect, and ITM Web of Conferences.
👨‍🏫 Mentorship Mentored 15+ colleagues on Google Cloud certification paths and career development.

🧠 Technical Expertise

Category Technologies
Languages Python TypeScript JavaScript SQL
Backend FastAPI Node.js Express
Cloud Azure GCP Azure AI
AI & Agents Semantic Kernel AutoGen LangChain MCP
DevOps Docker Kubernetes Terraform
Data Cosmos DB BigQuery Fabric

📜 Certifications

Microsoft Certified Professional

  • Agentic AI Business Solutions Architect (AB-100)
  • Azure AI Engineer Associate (AI-102)
  • Fabric Analytics Engineer Associate (DP-600)
  • AI Transformation Leader (AB-731) • AI Business Professional (AB-730)
  • Azure Fundamentals (AZ-900) • AI Fundamentals (AI-900) • Data Fundamentals (DP-900)

Google Cloud Certified

  • Professional Cloud Developer
  • Generative AI Leader
  • Intelligent Search Technical Expert

Other Certifications

  • NVIDIA Accelerated Data Science Associate
  • Anthropic Claude Certified Developer
  • GitHub Copilot (GH-300) • GitHub Foundations (GH-900)
  • IBM DevOps Essentials

🛠️ Featured Projects

🚀 Multi-Agent Supply Chain & Fraud Intelligence Platform

A unified agentic system merging quick commerce, e-commerce, and traditional supply chains.

  • Tech: Python, PydanticAI, MCP Protocol, cuGraph, vLLM, Qwen3-4B
  • Impact:
    • Built 5 specialized agents with runtime tool discovery.
    • Achieved 91% token reduction through hybrid GPU/LLM reasoning.
    • Accelerated fraud graph traversal by 56× on 100K-node datasets.
    • Enabled real-time 1.4ms inventory scans with CPU fallback.

⚛️ Quantum Currency Arbitrage Optimization

Hybrid quantum-classical system for detecting optimal multi-hop currency arbitrage cycles.

  • Tech: Python, Qiskit, IBM Quantum Runtime, IBM Eagle r3 backend
  • Impact:
    • 71% qubit efficiency improvement (70→20 qubits) via binary node encoding.
    • Reduced computation time from ~30,000+ years to ~3 minutes.
    • Validated globally optimal cycle delivering 0.175% profit.

🎓 KCET KEA College Predictor & Admission Helper

Full-stack AI-powered admission simulation platform processing historical cutoff ranks.

  • Tech: React 18, TypeScript, Node.js, OpenAI API, Google Generative AI
  • Impact:
    • Processed 18,716 historical cutoff ranks across 224 colleges.
    • Implemented RAG-inspired pipeline for Kannada document extraction.
    • Automated generation of Study and Kannada Medium Certificates.

📚 Research Publications

Title Citations Year Venue
Voice-based Gender and Age Recognition System 20 2023 IEEE Xplore
ShardedScale: Empowering Blockchain Transaction Scalability 13 2024 Procedia Computer Science
BLOCK-FEMF: Forensic Evidence Management Framework 5 2023 SpringerLink
Emoji Prediction Using Bi-Directional LSTM 5 2023 ITM Web of Conferences
Sharding-Powered Proof of Stake (SPPS) 1 2024 SpringerLink

View all publications on Google Scholar


📊 GitHub Stats

Vinayak's GitHub stats

Top Langs


📫 Let's Connect

LinkedIn Portfolio GitHub Email


"Driven by curiosity, powered by code, focused on impact."

Popular repositories Loading

  1. IndiaBix_Webscrap IndiaBix_Webscrap Public

    Websrapping to extract Questions and Answers from IndiaBix

    Jupyter Notebook 2 1

  2. Geth-Setup-Tutorial Geth-Setup-Tutorial Public

    Blockchain Private Network - Geth Singlenode Installation Tutorial

    1 1

  3. Hyperledger-Fabric-Installation Hyperledger-Fabric-Installation Public

    Forked from falconcode16/Hyperledger-Fabric-Installation

    The only Hyperledger fabric installation that you need. Without any errors :)

    1

  4. KLE_Tech_Results KLE_Tech_Results Public

    Web Scrapping for KLE Tech. Results

    Jupyter Notebook 1

  5. Hadoop_Installation_Windows Hadoop_Installation_Windows Public

    Tutorial to Install and Use Hadoop on Windows

    1

  6. BDA_CP BDA_CP Public

    BDA Course Project

    1