Motivated and detail-oriented Computer Science student with a passion for innovation and problem-solving. Actively engaged in academic and extracurricular activities that foster critical thinking, teamwork, and leadership. Eager to apply technical knowledge in real-world scenarios and contribute to meaningful projects. Continuously striving to learn, grow, and make a positive impact through technology-driven solutions.
- π Currently working as AI & Software Engineering Intern @ Novafuze LLP (September 2025 - Present)
- π± Building RAG applications, AI chatbots, and School ERP Systems with production-grade architecture
- π Hackathon Winner - KGeN Hackathon (Decode Select) & Multiple Hackathon Participations
- π― Specializing in Cloud Infrastructure, AI/ML, Full Stack Development, and System Design
- π‘ Working with Docker, Kubernetes, MCP Servers, RAG, and Vector Databases
- π« Reach me at: vivekkashyap0712@gmail.com
- π Location: Whitefield, Bengaluru-560048
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Project: AI Gaming - Fantasy Cricket Chatbot Assistant
- Problem: Help cricket fans make smarter Fantasy Cricket decisions through an intelligent, conversational assistant
- Role: AI & Full Stack Developer - Built backend using Python Flask and frontend with React
- Tech Stack: Python, Flask, React, Google Gemini API, Google Custom Search JSON API, RAG, Scikit
- Impact: Created a chat-based interface for natural language queries, suggestions, and player analysis
Project: Smart Peak Hour Demand Balancer for Auto Services (Namma Yatri)
- Problem: Solving ride denials and peak hour demand imbalance
- Role: Full Stack Developer - Built backend using Python Flask and frontend with React
- Tech Stack: Python, Flask, React, Google Gemini API, Google Maps API, TensorFlow
- Highlights:
- β¨ Integrated real-time location and demand heatmaps
- β¨ Implemented ride priority scoring based on availability and proximity
- β¨ Designed intelligent routing suggestions to reduce customer wait times
π₯ 2nd Year College Project Presentation Winner (2025)
- Project: Intelligent timetable generator using exhaustive search and backtracking
- Impact: Reduced manual effort in timetable generation by automating over 90% of the scheduling process
- Tech Stack: Python Flask, MySQL, ReactJS
- πΎ Colossus Hackathon - AI-driven Crop disease prediction and management system
- πͺ GCEM Hackathon - AI chatbot health coach and nutrition calculator
- π¦οΈ Jain University (Inceptrix Hackathon) - Hyperlocal Weather Intelligence + AI Agents For Smart Farming (Full React Native Application with backend)
- π¨ HackHazard - Built complete project
- π€ Vibeathon Γ Replit - AgentHive aka VibeML, a multi-agent AutoML platform that automatically trains and evaluates ML models from natural language inputs
- π NEXATHON'25 - Carbon Nexus, an AI-driven platform for real-time supply-chain carbon tracking using ML-based COβ prediction, hotspot detection, Gemini-powered insights, and an interactive React dashboard
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Repository: kubeflow/pipelines Contribution Highlights:
Technologies: Kubeflow Pipelines, Google Cloud Platform, Vertex AI, Cloud Logging, MLOps |
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π‘ Passionate about contributing to open source projects that make ML infrastructure more accessible and developer-friendly!
Duration: September 2025 - Present
Key Responsibilities & Achievements:
- ποΈ Gaining hands-on experience in system design and scalable architecture
- π€ Designed and developed RAG applications and AI chatbots with vector databases
- π Worked with MCP servers for secure database and tool access for AI agents
- π³ Built and deployed applications using Docker and Docker Compose
- π« Contributing to a School ERP System with AI-powered RAG chatbot
- π Implemented core ERP features: student & staff management, payments, SMS, WhatsApp, Gmail notifications
- π Developed backend workflows for database fetching and automation via MCP servers
- π€ Collaborating in an agile environment with clean code practices
Tech Stack: Python, Flask, Docker, Docker Compose, RAG, Vector Databases, MCP, MySQL, REST APIs, AI Chatbots
π‘ Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.




