HARIPRASAADH K.
AI/ML developer
Passionate AI/ML developer with strong foundations in Data Structures and Algorithms and a deep understanding of core machine learning principles. Skilled in designing and deploying intelligent agents, machine learning models, and Generative AI systems. Experienced in building end-to-end, cloud-native AI solutions with practical, scalable implementation across research and product environments.
Work Experience
PRISM Intern
Samsung R&D Institute, Bangalore
Engineered an AI agent orchestration framework using MCP and A2A communication protocols, enabling coordinated multi-agent task execution and reducing manual workflow intervention by 40%. Designed and deployed AI-powered automation features across cloud and mobile platforms, improving system responsiveness and enabling scalable intelligent communication workflows.
Project Intern
Annam.ai
Engineered core AI modules for Agronome by building a RAG chatbot integrating LLMs with structured agricultural data for context-aware farmer recommendations. Developed computer vision models for crop analysis and implemented scalable FastAPI endpoints to serve AI models within the platform backend.
Skills
Projects
DeepRetrieve
Built an agentic multimodal RAG system for semantic search over text, images, and tables in PDFs using CLIP embeddings. Implemented MCP-based tool orchestration with intelligent web fallback and binary-quantized Qdrant vectors, achieving 8 × memory efficiency.
Conversi AI – WhatsApp Agent
Built a multimodal WhatsApp AI agent with real-time webhook integration using Meta Cloud API and orchestrated workflows using LangGraph. Designed hybrid memory (SQLite + Qdrant) with semantic retrieval and integrated LLM reasoning, speech-to-text, vision, and text-to-speech in a unified pipeline.
Education
B.Tech in Computer Science (AI and ML)
Vellore Institute of Technology
CGPA: 9.52
Grade 12
PS Senior Secondary School, Mylapore
Percentage: 94.4%