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Farseen Shaikh

@GrimLock

Farseen Shaikh

@GrimLock

Mumbai, India

Farseen Shaikh | AI/ML Engineer

👋 Introduction

I'm a Data Science student and AI researcher passionate about building the next generation of autonomous AI systems. Currently focused on developing agentic AI applications, multi-agent systems, and domain-specific AI solutions that bridge the gap between cutting-edge research and real-world impact.

I specialize in the intersection of traditional ML/DL foundations and modern GenAI architectures, with particular expertise in medical AI, blockchain integration, and production-ready RAG systems. My mission is to create AI that doesn't just automate tasks, but genuinely augments human capabilities while maintaining ethical standards.

🏆 Recent Achievements

  • 🥇 1st Prize Winner - GOAT Solana MCP Hackathon (2025) | Built cutting-edge Model Context Protocol server
  • 🏅 Regional Finalist - Google AMD Hackathon powered by GeeksforGeeks (2023) | Deep learning neural network for comment classification
  • 🥇 Winner - Agno Hackathon | Multi-agent AI systems and autonomous workflows

🔬 AI/ML Expertise

ML/DL Foundations

  • Deep Learning: PyTorch, TensorFlow, 3D U-Net, CNNs, Transformers
  • Medical AI: fMRI analysis, neuroimaging, brain segmentation, diffusion models
  • Neural Networks: Classification, regression, computer vision, time series analysis
  • Specialized: Medical imaging pipelines, custom architectures, model optimization

GenAI & Agentic AI

  • Agent Frameworks: LangChain, LangGraph, Agno, CrewAI, AutoGen
  • LLM Integration: OpenAI API, Anthropic Claude, Gemini 2.5 Pro, Sarvam AI
  • RAG Systems: ChromaDB, vector databases, advanced retrieval architectures
  • Model Context Protocol (MCP): Custom server development, AI-to-AI communication
  • Fine-tuning: Custom training pipelines,GRPO, PPO & RLHF, bias detection systems

🛠️ Technical Stack

Backend: FastAPI, Node.js, TypeScript, Python
Cloud: AWS, Google Cloud, Docker, Kubernetes
Databases: Vector DBs, Knowledge Graphs, PostgreSQL, MongoDB
Blockchain: Solana, Base, Web3 APIs, DeFi protocols
DevOps: CI/CD, containerization, API development

🌟 Notable Projects

  • GOATsolana-MCP: Model Context Protocol server enabling Claude to analyze Solana blockchain data through natural language
  • AshaChatbot: Production RAG system with LangChain, Gemini 2.5 Pro, and bias detection for JobsForHer Foundation
  • Deep Learning Portfolio: Specialized medical AI models for neuroimaging, fMRI analysis, and brain segmentation
  • StablePay: Enterprise-grade stablecoin payment processor with AI-powered risk assessment

🎯 Current Focus

Exploring the convergence of autonomous AI agents, multi-modal reasoning, and domain-specific applications in healthcare and finance. Passionate about building agentic AI systems that solve real-world problems while maintaining ethical standards and human oversight.

🧠 Research Interests

  • Agentic AI: Multi-agent systems, autonomous reasoning, tool usage
  • Medical AI: Neuroimaging, clinical decision support, healthcare automation
  • AI Ethics: Bias detection, responsible AI deployment, human-AI collaboration
  • Blockchain + AI: Decentralized AI, on-chain inference, crypto-native applications

Building the future of autonomous AI, one breakthrough at a time.