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ysocrius/README.md

Hi there πŸ‘‹, I'm Yeshwanth!

I build production-grade AI systems that solve real-world problems, specializing in Intelligent Document Processing and AI Compliance Systems.

πŸ“Š Quick Stats

  • 🎯 30+ Public Repositories with live deployments
  • πŸš€ 5+ Production AI Systems serving real users
  • πŸ’» Tech Stack: Python, TypeScript, React, Next.js, FastAPI
  • 🌟 Specialization: AI/ML Engineering, Full-Stack Development
  • ☁️ Azure Certified (AZ-900)
  • πŸ“ˆ 95%+ Accuracy on ML evaluation frameworks

πŸ”§ Technologies & Tools

Frontend & Mobile

React Next.js TypeScript Tailwind Flutter React Native

Backend & Database

Python FastAPI Django Flask Node.js PostgreSQL MongoDB

AI & ML

OpenAI LangChain PyTorch HuggingFace Pydantic

Cloud & DevOps

Azure Docker Git

πŸ”­ Currently Working On

  • πŸ›οΈ Inventory Allocation System - High-concurrency Node.js & Flutter App
  • 🩻 X-Ray Semantic Search - Medical AI with CLIP & Vector Search
  • πŸ€– AI Search Chat with PDF Citations - RAG + Streaming responses

πŸ’‘ What I Do Best

  • 🎯 AI/ML Systems: Building evaluation frameworks, NLI models, RAG architectures
  • πŸ“„ Document Intelligence: PDF to structured data with 95%+ extraction accuracy
  • πŸ”’ AI Compliance: Hallucination prevention, drift detection, audit systems
  • 🌐 Full Stack Development: Next.js + FastAPI production deployments
  • πŸ’° Fintech/Offline-First: PWAs with sync engines, payment integration

πŸš€ Featured Projects

AI compliance system for corporate sustainability reports

  • Tech: Python, GPT-4o, Pydantic V2, NLI Cross-Encoders, RAG
  • Impact: 92% agreement with human auditors, automated 40+ hour audits
  • Highlights: Drift detection (0-3 scale), Sankey visualizations, zero hallucinations

LLM evaluation framework with multi-metric scoring

  • Tech: Python, Sentence-Transformers, PyTorch, HuggingFace
  • Impact: 95% test coverage, 34% drift detection across test datasets
  • Highlights: Relevance, groundedness, toxicity metrics with caching optimization

AI document processor converting PDFs to structured Excel

  • Tech: React, FastAPI, MongoDB, OpenAI, WebSockets
  • Impact: 95%+ extraction accuracy, processed 1000+ documents
  • Highlights: Real-time streaming, self-improving AI system

Offline-first financial PWA with bi-directional sync

  • Tech: Next.js 15, FastAPI, PostgreSQL, IndexedDB
  • Impact: Zero-latency UX in low-connectivity areas
  • Highlights: Custom sync engine, conflict resolution, 95+ Lighthouse score

Perplexity-style RAG chat with precise citations

  • Tech: Next.js 14, FastAPI, PostgreSQL, LangChain, FAISS, SSE
  • Features: Real-time streaming, vector search, queue-based architecture
  • Highlights: Page-level citations, animated generative UI

Enterprise backend with async task processing

  • Tech: Django 4.2, PostgreSQL, Celery, Redis, Docker
  • Features: Async task queues, Excel data ingestion, Swagger docs
  • Highlights: Containerized deployment, comprehensive testing

Production platform with payment gateway

  • Tech: Flask, MongoDB, Razorpay, OAuth, JWT
  • Features: Payment processing, PDF receipts, role-based auth
  • Highlights: Live production system serving real users

Agentic meeting analyzer with autonomous workflows

  • Tech: Flask, OpenAI, Multi-Agent Systems
  • Features: Action item extraction, meeting summarization, tool routing
  • Highlights: Modular architecture, robust retry/logging mechanisms

Model Context Protocol integration for design-to-code

  • Tech: TypeScript, MCP, Figma API
  • Features: AI-powered design token extraction
  • Highlights: Cutting-edge MCP adoption

πŸŽ“ StudySync AI | Live

AI-powered educational platform

  • Tech: React, Vite, Tailwind, OpenAI
  • Features: Document processing, AI summaries, interactive Q&A

οΏ½ Open To

  • Data Science Internships/Roles
  • AI/ML Engineering Positions
  • Full-Stack Development (AI-focused)
  • Research Collaborations in NLP/Document Intelligence

πŸ“ˆ GitHub Activity

30+ Public Repositories β€’ Active Daily β€’ Production AI Systems

πŸ”₯ Specializing in Document Intelligence, AI Compliance, and LLM Evaluation

πŸ’¬ Let's Connect!

LinkedIn GitHub Email

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    It is project that utilizes the DeepFace framework or technology for recognizing and analyzing emotions in human faces. DeepFace is a deep learning framework developed by Facebook that specializes …

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