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kcharvi/README.md

Hi there! I am Charvi 👋

  • 😄 I keep an inquisitive and observant attitude towards learning
  • 🌱 Constantly building my profile

LinkedIn Badge Portfolio Badge

I'm a Software Engineer and AI/ML researcher always curious, and strategic to bring ideas to life and explore what's next in AI. I am adept at both software development and research aspects of AI, ensuring AI models are accurate, scalable, and integrated into real-world applications. This site is my little exhibit where I've curated the projects, ideas, and effort that reflect my journey, interests, and learnings.

My Interests:

  • Machine Learning (ML)
  • Deep Learning (DL)
  • Reinforcement Learning
  • Natural Language Processing (NLP)
  • Software Development

Check out my Portfolio Website to know more about my Career path, Projects and Contributions.

Learn about my Coding skills with LeetCode Profile


I believe that every day brings new opportunities to explore and grow in the world of technology. If you're looking for someone who combines a strong foundation in Machine Learning, Deep Learning and combines Software Development expertise with in Python or Java, and SQL, then you've come to the right place!

SKILLS

Languages: Java, SQL, JavaScript, Python

Cloud: AWS (EC2, S3, SQS, Secrets Manager, Lambda)

Technologies: HTML, CSS, JavaScript, TypeScript, React.JS, Node.JS, Redux

Frameworks/Libraries: Numpy, Pandas, Matplotlib, Scikit-learn, PyTorch, Keras, TensorFlow, Flask, Hadoop, Spark

Database and Version Control: MySQL, PostgreSQL, MongoDB, Git, GitHub, BitBucket, Docker

AI Space: LLMs (Multimodal, Post-training Techniques, RAG), AI Agents, Vector Search, LangChain, MCP

Courses: Algorithms, Database, Operating System, Data Intensive Computing, Machine Learning, NLP, Computer Vision.

People Skills: Good Technical Judgement, Teamwork, Clear communication, Strategic Engagement

EXPERIENCE AND ACHIEVEMENTS

Best MS Research Award Winner from UB Graduate Student Assitant/Teaching Assistant at UB Gold Medalist from VIT Software Engineer at Amazon Software Engineer at JP Morgan Chase & Co.

CONNECT ✨

I'm always eager to push boundaries and shape the future of technology especially combine AI and software development or AI Research. If you have exciting opportunities or ideas to collaborate on, feel free to reach out! Let's make the best use of technology together.

LinkedIn

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  1. LeetCode LeetCode Public

    Collection of LeetCode questions to ace the coding interview! - Created using LeetHub

    Java 1

  2. Magnecruit Magnecruit Public

    Built an AI-powered recruitment platform with real-time chat, dynamic workspaces, and agentic backend logic using Flask and Gemini API, enhancing recruiter productivity and natural language interac…

    TypeScript

  3. Resonique Resonique Public

    Search audio clips that match your exact emotion in seconds! Developed an emotion-aware music retrieval system that interprets user context using Gemini Flash, transforming multi-modal inputs into …

    Jupyter Notebook

  4. pedestrian-behavior-and-scene-contextual-analysis-peft pedestrian-behavior-and-scene-contextual-analysis-peft Public

    This project provides an end-to-end pipeline for analyzing pedestrian behavior and scene context from the JAAD dataset. It leverages a fine-tuned YOLOv8 model for pedestrian detection and a suite o…

    Jupyter Notebook

  5. Vision_Language_Model_From_Scratch Vision_Language_Model_From_Scratch Public

    PaliGemma is a family of vision-language models (VLMs), combining the SigLIP vision encoder with the Gemma 2B language model.

    Python

  6. KRAIT KRAIT Public

    An advanced GPU kernel analysis and optimization platform that combines static code analysis with AI-powered insights to help developers write better, more efficient GPU kernels. KRAIT provides com…

    Python