AI & Full-Stack Developer | Machine Learning • Computer Vision • NLP

I build AI-powered applications end-to-end—combining Machine Learning / Deep Learning with modern full-stack development.

• 🔭 Current focus: Applied ML, Deep Learning, Computer Vision, NLP, and full-stack AI products
• 🧠 What I enjoy building: RAG-style Q&A, recommender systems, dashboards for data workflows (scraping/search/export), and explainable AI prototypes
• 🤝 Open to: AI/ML engineering, LLM application development, or full-stack software engineering roles and open-source contributions.
• 💼 Seeking: AI/ML Engineer, Data Science, or Full‑Stack Developer opportunities
• ⚽ Beyond code: Football & chess

• Machine Learning Systems
• Computer Vision (ResNet, Image Classification)
• Natural Language Processing (TF-IDF, Semantic Search)
• Retrieval-Augmented Generation (RAG)
• Web Scraping & Data Pipelines
• Full-Stack AI Applications

Next.js | FastAPI | LangGraph | Supabase | Groq

• 🤖 Agentic AI workflow utilizing LangGraph to autonomously classify user intent
• ⚡ Lightning-fast LLM inference for sub-second token generation using Groq's LPU
• 🔍 Semantic product search and advanced RAG powered by Supabase pgvector
• Repo: https://github.com/juni2003/NexusAI-Fashion-Assistant
• Live: https://nexus-ai-fashion-assistant.vercel.app/

Flask | Next.js | Random Forest | ResNet50 | FAISS

• ✅ Crop recommendation using Random Forest (99.39% accuracy)
• 🌿 Plant disease detection using ResNet50 transfer learning (98.97% accuracy)
• 💬 RAG-based farming Q&A using FAISS semantic search + intent routing
• Repo: https://github.com/juni2003/Smart-Farming-Agentic-AI
• Demo: https://youtu.be/2n2FjiEn05s

FastAPI | Next.js | PostgreSQL

• 🧩 Full-stack platform to extract, search, and export data from real-world websites
• 🔎 Fuzzy search over stored scraped data with PostgreSQL
• 📊 Modern interactive dashboard for managing scraping workflows
• Repo: https://github.com/juni2003/CrawlX-Data-Scrapping-Project
• Demo: https://www.youtube.com/watch?v=a0GlXZvMmtY

TypeScript | Python | Next.js | FastAPI | MongoDB | Gemini AI

• 📩 AI-powered job application tracking system that connects to Gmail and auto-detects updates like application receipts, assessments, and interview invites
• 🧠 Uses Gemini AI to extract structured details (Company, Role, Application Status) from noisy recruiter emails and keep your pipeline updated
• 📊 Interactive dashboard for stage-wise tracking (assessment/interview/offer/rejection) with conversion insights and career progress visibility
• 🤖 Built-in AI assistant for personalized career support including cover letter generation, interview prep, and application data summarization
• Repo: https://github.com/juni2003/CareerNode
• Demo: https://www.youtube.com/watch?v=NrvRsbfFK8E

PyTorch | BioBERT | Medical VQA | Explainable AI

• 🧠 Medical Visual Question Answering system focused on explainability
• 👁️ ROI-aware visual understanding + clinical text reasoning
• 🧾 Goal: answers with visual evidence and medically meaningful explanations
• Repo: https://github.com/juni2003/VisiHealthAI-Medical-Visual-Question-Answering
• Demo: https://www.youtube.com/watch?v=cehaqcAL1dw