Pune, India | Tokyo, Japan &middot; &middot; Education VIT University Vellore B. Tech. Computer Science GPA: - Experience Avanade Tokyo Consultant (Generative AI) Mar, - Present &bull; Headed delivery of high-value Generative AI pro jects, managing cross-functional teams with 5+ members and ensuring timely delivery with measurable outcomes. &bull; Delivered AI-driven solutions to optimize client operations, reducing operational cost by approximately 25% leveraging Microsoft and OpenAI technologies. &bull; Received excellent client feedback with an average rating of 4.5/5. Led a key role as the Pro ject Manager in receiving repeat orders from clients. &bull; Successfully delivered pro jects to reputed clients like Honda and Toyo Engineering Corporation. ABEJA Tokyo AI Engineer - &bull; Acted as the Technical Lead for key client pro jects, driving AI implementation, and ensuring alignment with client goals. &bull; Worked with interdisciplinary teams to develop and deploy models for NLP, Computer Vision, and Generative AI domains. &bull; Headed responsibilities ranging from pro ject assessment and exploratory data analysis to model/ solution building, evaluation, deployment, and reporting. &bull; Key clients include Mitsubishi Gas Chemical Company, SOMPO Holdings and Kokusai Kogyo Company. Human Resocia Tokyo AI Engineer - &bull; Headed a comprehensive research pro ject based on analyzing health data monitored and collected through smartwatches for an insurance company. &bull; The result of a comparison of the data and behavior patterns of Apple watch users and other users was shared with Apple. &bull; Contributed to in-house pro jects like building a chatbot for employees, building classification and prediction models. &bull; Technology stack included Python, Tableau, TensorFlow, Pandas, NumPy, Scikit-learn, Keras, Linux, Transformers, Seaborn, Matplotlib, BERT, Vectors, DotData, Transformers. Skills Programming Languages: Python, C++, SQL Generative AI: Large Language Models (OpenAI, Gemini, Anthropic, Groq, Llama) Prompt Engineering, LangChain, RAG, AI agents, Fine-tuning ElevenLabs, Stable Diffusion, Phidata, CrewAI, LangGraph, LangSmith GraphRAG, Cohere, Together AI, Hugging Face Spaces, Multimodal applications Natural Language Processing: spaCy, NLTK, Word2Vec, Gensim, TextBlob, Transformers, GloVe Computer Vision: YOLO, DeepLabv3+, CLIP, Detectron2, Convolutional Neural Networks Generative Adversarial Networks, MMDetection Libraries: Numpy, Keras, Pandas, pytest, Poetry, Matplotlib, TensorFlow, PyTorch MXNet, Scikit-learn, Pydantic Cloud: Azure, AWS Others: Docker, Github, Flask, Weights &amp; Biases, Power BI, Roboflow Neo4j, Power Apps Management: Pro ject Management, Client Management, Presales &amp; Solutioning Certifications LangChain for LLM Application Development LangChain, DeepLearning.ai AI Agents in LangGraph LangChain, Tavily, DeepLearning.ai Multi AI Agent Systems with crewAI crewAI, DeepLearning.ai LLMs as Operating Systems: Agent Memory Letta, DeepLearning.ai Finetuning Large Language Models Lamini, DeepLearning.ai