{
  "name": "Harsh Bafna",
  "role": "Machine Learning Engineer",
  "summary": "Machine learning engineer specializing in generative AI, multi-agent systems, and production-grade LLM applications. I build retrieval and analytics systems that turn messy enterprise data into useful answers.",
  "location": "Bengaluru, India",
  "email": "harshbafna29@gmail.com",
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  "skills": [
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      "items": [
        "Python",
        "C/C++",
        "Java",
        "SQL",
        "Bash / Shell Scripting",
        "Object-Oriented Programming (OOP)"
      ]
    },
    {
      "group": "Generative AI & Agentic Systems",
      "items": [
        "Google Agent Development Kit (ADK)",
        "LLMs",
        "Multi-Agent Orchestration",
        "Retrieval-Augmented Generation (RAG)",
        "Model Context Protocol (MCP)",
        "LangChain",
        "LangGraph",
        "Prompt Engineering",
        "Vector Search",
        "Hybrid Search",
        "Embeddings",
        "Fine-Tuning",
        "PEFT/LoRA",
        "AI Guardrails",
        "Nvidia NeMo"
      ]
    },
    {
      "group": "Machine Learning & Data Science",
      "items": [
        "Neural Networks",
        "PyTorch",
        "TensorFlow",
        "Scikit-Learn",
        "XGBoost",
        "LightGBM",
        "Pandas",
        "NumPy",
        "OpenCV",
        "Natural Language Processing (NLP)",
        "Computer Vision",
        "Feature Engineering",
        "Exploratory Data Analysis (EDA)",
        "Time-Series Forecasting"
      ]
    },
    {
      "group": "GCP, Cloud & Infrastructure",
      "items": [
        "Google Cloud Platform (GCP)",
        "Vertex AI",
        "Search/Recommendation Models",
        "Cloud Run/AWS Lambda",
        "Cloud Functions",
        "Google Cloud Storage (GCS)",
        "Firebase",
        "Pub/Sub",
        "AWS",
        "Azure",
        "Docker",
        "Kubernetes",
        "DevOps",
        "Linux"
      ]
    },
    {
      "group": "Data Engineering & Architecture",
      "items": [
        "BigQuery",
        "Data Warehousing",
        "Apache Kafka",
        "Snowflake",
        "PostgreSQL",
        "MongoDB",
        "MySQL",
        "Redis",
        "NoSQL",
        "Vector Databases",
        "Data Pipelines",
        "Microservices",
        "REST APIs",
        "FastAPI",
        "Backend Architecture",
        "Full-Stack Integration",
        "System Design"
      ]
    },
    {
      "group": "MLOps, Web & Tools",
      "items": [
        "CI/CD",
        "MLflow",
        "Hugging Face",
        "Model Deployment",
        "Streamlit",
        "Git",
        "GitHub",
        "Document AI",
        "Agile Methodologies"
      ]
    }
  ],
  "experience": [
    {
      "company": "Quantiphi",
      "companyUrl": "https://quantiphi.com/",
      "role": "Machine Learning Engineer",
      "start": "FEB 2024",
      "end": "PRESENT",
      "location": "Bengaluru, India",
      "bullets": [
        "Led 5+ ML engineers in a 24+ member team to ship production multi-agent systems for natural-language enterprise analytics.",
        "Architected ADK-based agents with RAG over 14+ structured data sources, including Kafka topics, Google Ads, and Google Analytics schemas.",
        "Built AI search, recommendation, campaign-generation, and lead-hotspot workflows that reduced analysis and drafting cycles from days to minutes."
      ],
      "stack": []
    },
    {
      "company": "JP Morgan Chase & Co.",
      "companyUrl": "https://www.jpmorganchase.com/",
      "role": "Software Engineer Intern",
      "start": "NOV 2022",
      "end": "SEP 2023",
      "location": "Remote",
      "bullets": [
        "Designed a real-time data streaming interface capable of processing 100,000+ data points per second.",
        "Used JP Morgan Chase's Perspective visualization tool to build live financial correlation graphs.",
        "Implemented upper and lower-bound indicators for real-time monitoring of stock-correlation metrics."
      ],
      "stack": []
    }
  ],
  "education": [
    {
      "institution": "B.M.S. College of Engineering",
      "location": "Bangalore, India",
      "qualification": "Bachelor of Engineering, Electronics & Instrumentation Engineering",
      "detail": "GPA: 8.3/10",
      "start": "2020",
      "end": "2024"
    },
    {
      "institution": "S.Tech IT School",
      "location": "Rajasthan, India",
      "qualification": "Higher Secondary School Certificate, PCM",
      "detail": "Percentage: 82.6%",
      "start": "2019",
      "end": "2020"
    }
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      "name": "Professional ML Engineer",
      "issuer": "Google Cloud",
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    {
      "name": "JP Morgan Forage Internship",
      "issuer": "JP Morgan Chase & Co.",
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      "name": "One for All",
      "issuer": "Quantiphi",
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      "issuer": "Quantiphi",
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