vishnu@developer:~$ cat Vishnu.py

class Vishnu:
    def __init__(self):
        self.name = "Vishnu Vardhan Uppari"

        self.role = "Aspiring AI Engineer"

        self.currently = (
            "Learning Python, software engineering fundamentals, "
            "and building AI applications one project at a time."
        )

        self.focus = [
            "Python",
            "AI Engineering",
            "LLMs",
            "Backend Development",
            "Problem Solving"
        ]

        self.learning = [
            "FastAPI",
            "SQL",
            "Docker",
            "RAG",
            "LangChain",
            "AI Agents"
        ]

        self.roadmap = [
            "Python",
            "FastAPI",
            "SQL",
            "Git",
            "Docker",
            "LLMs",
            "RAG",
            "AI Agents",
            "Production AI"
        ]

        self.goal = (
            "Build production-ready AI applications and contribute "
            "to products that solve real-world problems."
        )

        self.belief = (
            "Consistency compounds. Learn deeply, build often, and "
            "understand every line of code."
        )

    def say_hi(self):
        print("Welcome to my GitHub! Follow my journey from beginner to AI Engineer 🚀")

me = Vishnu()
me.say_hi()

• 🐍 Engineering robust backend APIs and microservices using Python and FastAPI.
• 🤖 Integrating Large Language Models (LLMs) and orchestrating autonomous AI Agents.
• 🧠 Designing Retrieval-Augmented Generation (RAG) workflows and optimizing SQL databases.

• Python (OOP, Design Patterns, Scripting)
• [/] FastAPI (Async APIs, Web Frameworks)
• [/] SQL (PostgreSQL, Database Design)
• [/] Git (Version Control, Collaborative Flows)
• Docker (Containerization, Deployments)
• LLMs (Prompting, Fine-tuning, Integrations)
• RAG (Vector DBs, Semantic Search)
• AI Agents (LangChain, CrewAI, AutoGen)
• Production AI (Deploying, Scaling, Monitoring)

Languages

Backend & APIs

AI & Orchestration

Frontend & Databases

Tools & DevOps

[01] Apex Excel AI — High-performance pharmaceutical data integration & irregularity detection platform automating schema unification and anomaly detection.

• Stack: FastAPI | Google Gemini API | MongoDB | Pandas | GridFS
• Source: github.com/Vishnu3568/elevance-skills-genai-internship

[02] ForgeFlow AI — Compiler-driven application generator transforming natural language into validated, executable software blueprints with automated schema repair and sandbox validation.

• Stack: FastAPI | LLM Agents | TypeScript | SQLite Sandbox | Pydantic
• Source: github.com/Vishnu3568/Compiler-Driven-Application-Generator

[03] CV Enhancer AI — Full-stack AI-powered resume parsing and content enhancement platform with template generation.

• Stack: FastAPI | React | OpenAI API | python-docx | PyPDF2
• Source: github.com/Vishnu3568/CV-Enhancer-ai

[04] PrimeTrade Sentiment Analysis — Quantitative data science pipeline analyzing Bitcoin trader performance vs. Fear & Greed sentiment regimes.

• Stack: Python | Scikit-Learn | Pandas | Seaborn | Statsmodels
• Source: github.com/Vishnu3568/primetrade-sentiment-analysis

I'm always open to collaborating on backend systems, open source contributions, or just a good tech conversation.

_{Designed with 💜 by Vishnu • Last updated 2026 • Open to opportunities}