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SahilAi1/README.md

Hi, I am Sahil

Typing SVG

GitHub Snake Animation

portfolio Β Β  LinkedIn


whoami
class Sahil:
    def __init__(self):
        self.role      = "Software / AI Engineer"
        self.based_in  = "India"
        self.degree    = "B.Tech, Artificial Intelligence"
        self.diploma   = "Information Technology"
        self.stack     = ["Python", "SQL", "Git", "Github", "Docker", "Mongodb", "Fastapi", "nodejs", "JavaScript", ...]
        self.focus     = ["RAG & LLM apps", "Backend APIs", "Data Analysis"]
        self.mindset   = "Build it end-to-end, deploy it, improve it"

    def currently(self):
        return ["Shipping a RAG knowledge assistant",
                "building stuff", "Going deeper on Ai"]

I like systems that run reliably in production, not notebooks that die on a laptop. Everything below is built, containerized, and deployed by me.


Featured Projects

πŸ”— Make Me Short

Β Production Full-Stack URL Shortener & Analytics

Visit GitHub repo Β  Live Demo

  • Architected and deployed a resilient URL shortener with custom vanity slugs, real-time click analytics, and dynamic QR code generation.
  • Hardened REST APIs with security best practices: bcrypt password hashing, JWT auth, express-rate-limit, Helmet HTTP headers, and SSRF protection.
  • Automated testing with Node test runner & Supertest; containerized via Docker and deployed live on Render with an embedded SQLite database.

Make Me Short Stack

πŸ“§ Spam Mail Detection

Β High-Precision NLP Classification Pipeline

Visit GitHub repo Β  Live App

  • Built an end-to-end NLP classification system in Python achieving 98% accuracy in filtering spam messages.
  • Engineered custom text-cleaning, tokenization, stopword removal, and TF-IDF / Count vectorization pipelines.
  • Trained a Naive Bayes classifier, verified with automated pytest test suites, and deployed live on Streamlit Community Cloud.

Spam Mail Detection Stack

🩺 Skin Disease Detection

Β Deep Learning Medical Image Classifier

Visit GitHub repo

  • Engineered an end-to-end computer vision diagnostic assistant using EfficientNet deep convolutional neural network architecture.
  • Leveraged transfer learning, extensive data augmentation, and fine-tuning to maximize generalization across dermatological conditions.
  • Implemented interactive image uploads, preprocessing transforms, and diagnostic probability distributions in Streamlit.

Skin Disease Detection Stack Β  Streamlit

🌀️ howistoday

Β Full-Stack React & Python Flask Forecast App

Visit GitHub repo

  • Engineered a modern weather forecasting application featuring a dynamic React frontend and a lightweight Python Flask proxy server.
  • Protected private WeatherAPI credentials server-side, preventing client-side key exposure with strict environment variable isolation.
  • Packaged for production using uv for fast lockfile resolution, containerized with Docker, and configured for seamless deployment on Render.

Weather App Stack


Experience

βš™οΈ Operations Manager

  • Directed end-to-end client communication, translating complex business requirements into actionable, milestone-driven technical project plans.
  • Coordinated cross-functional teams and streamlined client onboarding, maintaining concurrent workstreams aligned, on schedule, and issue-free.
  • Tracked and delivered deadlines across concurrent projects, ensuring rigorous accountability and quality from kickoff through delivery.

πŸ’» Web Development Intern

  • Designed and deployed 5+ complete client websites, including custom theme engineering, styling, and production troubleshooting.
  • Translated client goals into efficient technical implementations, ensuring optimal responsiveness, SEO fundamentals, and business alignment.

Education

πŸŽ“ B.Tech in Artificial Intelligence

  • Relevant Coursework: Python, Data Structures & Algorithms, Data Preprocessing, Machine Learning, Deep Learning, Database Management Systems.

πŸ“œ Diploma in Information Technology

  • Core Foundations: Object-Oriented Programming, Operating Systems, Web Technologies, Software Engineering, Relational Databases (RDBMS).

πŸ›  Tech Stack

Tech Stack
●  ●  ●   sahil@system: ~ (zsh)
sahil@harde:~$ ./status-check.sh
[βœ“] Core Systems   : Operational
[βœ“] Mindset        : Build it end-to-end, deploy it, improve it
[βœ“] Availability   : Open to Software & AI Engineering Roles
[βœ“] Current Focus  : Shipping RAG assistants & Agentic AI workflows
Β  Β 

Β Β  Β Β 


If you like something or if you find something interesting, give it a star. ⭐

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