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@gdsc-gcect @GCECTTC @ByteMonk-GCECT @GCECT-SAIL-PROJECT

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A-jha383/README.md

Header



๐Ÿ‘จโ€๐Ÿ’ป About Me

class AyushJha:
    def __init__(self):
        self.role = "AI/ML Engineer & Advanced GenAI Solution Developer"
        self.study = "M.Sc. Computer Science @ Universitรคt Paderborn, Germany"
        self.current_job = "Working Student โ€“ Technical Consultant @ RealThingks GmbH"
        self.previously = "Senior System Analyst (L5) @ InterraIT"
        self.location = "Paderborn, Germany"
        self.experience = "3+ years"
        self.focus_areas = [
            "Data Analytics Pipelines (Automotive)",
            "Generative AI Solutions",
            "LLM-based Applications",
            "Multi-Agent Systems",
            "RAG Pipelines",
            "Cloud & Data Architecture"
        ]

    def current_work(self):
        return {
            "๐Ÿ”ญ Building": "Data analytics pipelines & AI solutions for global automotive manufacturers",
            "๐ŸŒฑ Learning": "Advanced LangGraph & CrewAI",
            "๐Ÿ’ก Exploring": "Agentic AI & Vector Databases",
            "๐Ÿ“ Writing": "Technical blogs on Medium"
        }

    def tech_stack(self):
        return {
            "AI/ML": ["LangChain", "LangGraph", "CrewAI", "OpenAI", "Anthropic"],
            "Cloud": ["Azure OpenAI", "AWS Bedrock", "Azure ML", "AWS SageMaker"],
            "Data Engineering": ["Databricks", "Apache Spark", "ETL/ELT", "Power BI", "Fabric"],
            "Backend": ["Python", "FastAPI", "Flask", "Node.js"],
            "Frontend": ["React.js", "Next.js", "TypeScript", "Three.js"],
            "Databases": ["PostgreSQL", "MongoDB", "Milvus", "ChromaDB", "FAISS"],
            "DevOps": ["Docker", "Kubernetes", "Azure DevOps", "GitHub Actions"]
        }

๐Ÿš€ Professional Highlights

  • ๐ŸŽ“ M.Sc. Computer Science @ Universitรคt Paderborn, Germany (April 2026 โ€“ Present)
  • ๐Ÿ’ผ Working Student โ€“ Technical Consultant @ RealThingks GmbH (May 2026 โ€“ Present)
    • Building data analytics pipelines that turn large-scale automotive data into decision-ready insights for enterprise clients
    • Developing and deploying AI-driven solutions for major automotive manufacturers using Python, Databricks, and Spark
  • ๐Ÿ’ผ Ex-Senior System Analyst (L5) @ InterraIT (Oct 2025 โ€“ Mar 2026) โ€” LLM-based systems, agentic AI frameworks, and MLOps platforms
  • ๐Ÿ’ผ Ex-Senior Software Engineer โ€“ AI/GenAI @ InterraIT (Jan 2023 โ€“ Oct 2025)
    • Delivered AI/ML solutions for global clients including Mercedes-Benz, JCI, and MG
    • Built RAG pipelines and a custom multi-agent bot system from scratch
    • Improved prediction accuracy by 35% through advanced ensemble ML pipelines
  • ๐ŸŽ“ 7+ Professional Certifications across Microsoft Azure, Microsoft Fabric, Power BI, and Salesforce
  • ๐Ÿ† "Star Rookie of the Year 2024" & "Promising Junior Award Q4 2023" โ€” InterraIT
  • ๐Ÿ“Š 350+ LeetCode Problems Solved โ€” Consistent problem solver
  • ๐ŸŽฏ Published Technical Writer on Medium

๐Ÿ› ๏ธ Technical Arsenal

๐Ÿค– AI & Machine Learning

Python LangChain OpenAI TensorFlow Anthropic

๐Ÿ“Š Data Engineering & Analytics

Databricks Apache Spark Power BI Microsoft Fabric

โ˜๏ธ Cloud & Infrastructure

Azure AWS Docker Kubernetes

๐Ÿ’ป Development

JavaScript TypeScript React Next.js Node.js FastAPI

๐Ÿ—„๏ธ Databases & Vector Stores

PostgreSQL MongoDB Redis Pinecone

๐Ÿ”ง Tools & Platforms

Git VS Code Postman Jira


๐Ÿ“Š GitHub Analytics

GitHub Streak

Contribution Graph


๐Ÿ† Achievements & Certifications

GitHub Trophies

๐Ÿ“œ Professional Certifications



๐Ÿฅ‡ Awards

  • "Star Rookie of the Year 2024" โ€” InterraIT โ€” recognized for exceptional contributions to AI projects and innovation in Generative AI solutions
  • "Promising Junior Award Q4 2023" โ€” InterraIT โ€” awarded for technical leadership, innovative problem-solving, and team impact

๐Ÿ’ผ Featured Projects

๐Ÿค– Custom Multi-Agent Bot System

Built from scratch โ€” a multi-agent architecture with real-time coordination, shared context management, and dynamic routing across complex enterprise workflows.

๐Ÿ” Hybrid RAG Pipeline Framework

Modular GenAI framework with a Milvus vector database, implementing hybrid semantic + keyword retrieval with intelligent re-ranking.

๐Ÿ“Š Reusable ETL Transformation Framework

Dynamic data transformation framework with configurable logic, automated validation, and performance-optimized processing for enterprise-scale data pipelines.

๐ŸŽฎ 3D Portfolio Experience

Interactive, bilingual (EN/DE) 3D portfolio built with Three.js and React Three Fiber โ€” a unique ambient WebGL scene behind every section.

๐Ÿ”— Live Site


๐Ÿ“ Latest Blog Posts

โžก๏ธ More articles on Medium...


๐ŸŽฏ LeetCode Stats

LeetCode Stats


๐Ÿ“ซ Let's Connect!

Portfolio Email LinkedIn GitHub Twitter LeetCode Medium


๐Ÿ’ญ Random Dev Quote

Random Dev Quote


Profile Views

๐Ÿ’ก "Building the future with AI, one line of code at a time."

โญ๏ธ From A-jha383 with โค๏ธ

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