resume.json

{
  "meta": {
  "theme": "professional"
  },
  "basics": {
    "name": "Ashu Gulati",
    "label": "AI Researcher and Developer",
    "summary": "Results-driven AI Researcher & Developer with 4 years of hands-on experience. Seeking to leverage my skills and experience in advance AI (Artificial Intelligence) technologies using Large Language Models (LLMs) and Natural Language Processing (NLP).",
    "profiles": []
  },
  "certificates": [
    {
      "name": "LLM102x: Large Language Models: Foundation Models from the Ground Up",
      "date": "2024-05-01",
      "issuer": "edX"
    },
    {
      "name": "LLM101x: Large Language Models: Application through Production",
      "date": "2024-03-01",
      "issuer": "edX"
    }
  ],
  "education": [
    {
      "institution": "SPPU (Sinhgad Institutes, Pune) - 8.56 GPA",
      "area": "Information Technology",
      "studyType": "Bachelors of Engineering (B.E.)",
      "startDate": "2016-07-01",
      "endDate": "2020-08-01"
    },
    {
      "institution": "Delhi Public School, Ranchi - 90.1%",
      "area": "Science",
      "studyType": "12th",
      "startDate": "2014-07-01",
      "endDate": "2016-04-01"
    }
  ],
  "skills": [
    {
      "name": "Programming Languages and Frameworks",
      "level": "Expert",
      "keywords": [
        "Python",
        "Bash",
        "PyTorch",
        "Transformers",
        "Hugging Face",
        "LangChain"
      ]
    },
    {
      "name": "AI Techniques",
      "level": "Lead",
      "keywords": [
        "Artificial Intelligence (AI)",
        "Machine Learning (ML)",
        "Natural Language Processing (NLP)",
        "Deep Learning",
        "Knowledge Distillation",
        "Transfer Learning",
        "Fine-Tuning",
        "LLM Prompting",
        "Data Processing",
        "Data Analysis"
      ]
    },
    {
      "name": "Development Tools",
      "level": "Advanced",
      "keywords": [
        "Jupyter Notebook",
        "VSCode",
        "PyCharm",
        "Git",
        "Docker",
        "UnslothAI",
        "Azure"
      ]
    }
  ],
  "awards": [
    {
      "title": "Bravo - Team Award",
      "awarder": "Persistent Systems",
      "date": "2024-09-30",
      "summary": "A total of four team awards and two individual awards received appreciating my ability to learn and adapt quickly."
    },
    {
      "title": "2nd Runner-Up, Tune2Precision Hackathon",
      "date": "2024-08-01",
      "awarder": "Persistent Systems"
    },
    {
      "title": "Runner-Up, GenAI Dash Hackathon",
      "date": "2023-11-01",
      "awarder": "Persistent Systems"
    },
    {
      "title": "Top Talent Award for FY 2023",
      "date": "2023-06-01",
      "awarder": "Persistent Systems"
    }
  ],
  "publications": [
    {
      "name": "Co-authored and presented at EMNLP 2023",
      "publisher": "ACL (Association for Computational Linguistics)",
      "releaseDate": "2023-12-09",
      "url": "https://aclanthology.org/2023.findings-emnlp.461.pdf",
      "summary": "Explored challenges and research opportunities in using LLM-based autonomous agents for tool composition in enterprise settings."
    }
  ],
  "work": [
    {
      "name": "Persistent Systems",
      "position": "Lead Software Engineer (AI Research)",
      "startDate": "2020-11-01",
      "summary": "Contributed on multiple projects in AI research and development in the domain of business process automation using AI.",
      "highlights": [
        "Developed BERT-based intent classification models using RASA agents for conversational AI interface in a multi-turn dialogue system.",
        "Curated and evaluated a travel data use case to survey the usefulness of autonomous AI agents to generate a sequence of actions in enterprise setting. Reported improvements in bleu and F1 score.",
        "Created an end-to-end pipeline from dataset collection to evaluation of the LLM (large language model) generated results using Python scripts and customized metrics. This helped in identifying the performance of differently sized and trained LLMs.",
        "Trained teacher-student model using PyTorch with a sentiment classification task, applying curriculum learning in the dataset to distill large-sized model performance in small-sized model.",
        "Benchmarked a dataset for evaluation on function calling tasks used in enterprise setting."
      ]
    }
  ],
  "projects": [
    {
      "name": "Customer Support, Tune2Precision Hackathon",
      "startDate": "2024-07-10",
      "endDate": "2024-08-14",
      "description": "Fine-tuned an open-source LLM for tailored customer support in the travel industry, enhancing response accuracy, and relevance.",
      "url": "https://huggingface.co/ashu42/Llama-3-8b-instruct-atis-customer-support-function-callling-sft"
    },
    {
      "name": "Policy Recommendation, GenAI Hackathon",
      "startDate": "2023-08-01",
      "endDate": "2023-11-01",
      "description": "Integrated a traditional insurance policy recommendation system with a large language model (LLM) to improve explainability."
    },
    {
      "name": "Trassist, IBM Call for Code",
      "startDate": "2023-08-01",
      "endDate": "2023-10-01",
      "description": "Developed a mobile application for waste collection and segregation leveraging IBM Services and Hugging Face model."
    },
    {
      "name": "Context-Retaining Chatbot",
      "startDate": "2023-08-01",
      "endDate": "2023-09-01",
      "description": 
"Built a context-aware conversational chatbot for question answering using multiple documents and Retrieval-Augmented Generation (RAG) techniques."
    },
    {
      "name": "SynthAI, Semicolons Hackathon",
      "startDate": "2023-03-01",
      "endDate": "2023-02-01",
      "description": "Led a team of 8 in creating a framework for generating synthetic, domain-agnostic datasets using GPT3.",
      "url": "https://synth-ai.vercel.app/"
    }
  ]
}