📍 India ↔ Building Globally | 🤖 AI Systems Builder | 🚀 RecSys • GeoAI • Medical AI

Languages & App Development	Databases & Data Engineering
ML & Data Science	Domains & AI Systems

I build practical AI systems — from research and experiments to scalable pipelines, production APIs, and developer-facing applications.

Currently building in stealth_mode Port AI — secure, self-hosted, offline-ready AI across Mobile • Edge • Laptop • Raspberry Pi.

• 🧠 Gemma Recipes - Practical Gemma notebooks and workflows for real-world AI use cases.
• 🎯 Video Point Tracker - Local-first multimodal video point tracking with React, Express, Docker, and support for Ollama, LM Studio, and llama.cpp.
• 👗 StyleSense - Fashion recommendation system covering real e-commerce personalization scenarios.
• 🛰️ Machine Learning for Geospatial - GeoAI learning resources, experiments, and spatial machine learning references.
• 🤗 HuggingFace HandsOn Cookbook - Hands-on Hugging Face examples across text, vision, speech, and multimodal AI.
• ⚡ mlx-flash - Fast, practical MLX workflows for Apple Silicon model training and experimentation.
• 🎧 mlx-sound - Audio AI with MLX for speech, music, embeddings, and on-device workflows.
• 📚 LLM Resources, Papers, Frameworks & Tools - Curated hub of LLM papers, tools, frameworks, and implementation resources.

• Contributing to Hugging Face ecosystem (docs, tooling, model workflows)
• Building reproducible AI demos + practical ML systems for developers

Port AI is my ongoing project to run Secure, self-hosted AI across Mobile • Edge • Laptop • Raspberry Pi:

• 🔒 Secure-by-default: local-first, privacy-first, offline-ready
• 🧠 LLM Apps: chat, RAG, tool-use/agents, eval harness
• ⚡ Optimized: quantized models, streaming, caching, lightweight deployments
• 🧰 Developer-friendly: FastAPI services, Docker profiles, reproducible configs

Repo updates: architecture, demos, benchmarks, and deployment recipes.

• Large Scale Recommendation Systems & NLP
• Computer Vision & Deep Learning
• Edge + Mobile

• Clinical text & imaging workflows
• Decision support, triage signals, outcome prediction

• Retrieval → ranking → evaluation (lift, deciles, offline/online metrics)
• Cold-start, personalization, explainability

• Satellite imagery analytics & spatial ML
• Location intelligence and geospatial pipelines

• Large-scale Recommendation Systems & NLP (ranking, retrieval, personalization)
• Computer Vision & Deep Learning (feature learning, classification, detection)
• Edge + Mobile (Android occasionally, on-device/optimized inference)
• Applied AI domains: Healthcare • Education • E-Commerce • Agriculture • Supply Chain

Core: Python • SQL • Bash
ML: NumPy • scikit-learn • Matplotlib • (Deep Learning: Keras / PyTorch)
Data: PostgreSQL
Cloud: AWS • Azure
Tools: VS Code • Git

• 🩺 Medical AI: clinical text + imaging workflows, decision support, triage signals
• 🎯 RecSys: candidate generation, learning-to-rank, cold-start, evaluation & lift
• 🌍 GeoAI: geospatial ML, satellite imagery analytics, location-based intelligence

• Writes on:
• LinkedIn: https://www.linkedin.com/in/curious-susant/
• 📫 Email: sache.meet@yahoo.com

If you find my work useful, consider starring a repo — it helps a lot ❤️

Support Me, Brew Good Vibes

Help Keep the Ideas Open Source