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charu01smita28/README.md

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Hi 👋, This is Charusmita Dhiman!

A seasoned Backend Developer with a passion for everything "AI" and "DATA" who has over 6 years of professional experience in developing scalable and resilient microservices and deploying software on contemporary cloud platforms. My expertise spans designing, debugging and deploying distributed, scalable systems with complex data and backends, as well as creating advanced AI/ML solutions.

ai engineer


charu21


Read my story here:

  • 🌟 Background: A seasoned software developer thriving in backend (80%) and frontend (20%) development with excellent development experience working with monolith as well as Microservice architecture with languages like Python, JAVA, NodeJS and front end components like Angular building both REST APIs and GraphQL endpoints.

  • ☁️ Cloud Navigator: Navigating the arena of working with cloud resources, I've deployed scalable serverless architectures using a multitude of AWS resources. Rich experience with AWS services including S3, DynamoDB, Aurora, CFT, SQS, SageMaker and Serverless Lambdas, and worked with EMR for big data processing by developing Spark jobs.

  • 🗄️ Database Management: Exceptional SQL and PL/SQL querying skills and strong experience with a variety of relational databases like Oracle, MySQL, PostgreSQL, and NoSQL or non relational databases like MongoDB, DynamoDB, Redis and strong experience with ELK stack, ElasticSearch, Logstash and Kibana.

  • 🤖 AI/ML Passion: From developing ML pipelines with PyTorch, TensorFlow and Keras to creating multimodal applications and predictive models, I have experience with libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Statsmodels and utilizing pretrained models through transfer learning as well as finetuning.

  • State-of-the-art AI Skills: Skilled in developing Multimodal applications using RAG techniques and Large Language Models (LLMs) with LangChain, LlamaIndex. Latest GenAI skills and fine-tuning LLMs to improve their performance in specific tasks.

  • 🧩 Diverse AI Challenges: I've tackled diverse AI challenges, including NLP, NER, and data visualization, building algorithms that transform chaotic data into meaningful insights. Whether it's predicting customer happiness, optimizing talent acquisition, or developing time series models, my solutions consistently deliver.

  • 🔭 Currently working on: Knowledge Graphs and Graph based RAG

  • 📫 How to reach me: [email protected]

  • 📄 Know about my experiences: https://www.linkedin.com/in/charusmitadhiman/

  • 🎉 Fun fact I not only predict trends and outcomes using machine learning models but can also predict your future, thanks to my interest in astrology!

  • Connect with me:

    charusmitadhiman

    Languages and Tools:

    angular angularjs aws bash bootstrap c cplusplus csharp css3 django docker elasticsearch figma flask gcp git grafana graphql hadoop heroku html5 jasmine java javascript jenkins karma kibana kubernetes linux mariadb matlab mocha mongodb mssql mysql nodejs opencv oracle postgresql postman python pytorch rabbitMQ redis redux scala scikit_learn seaborn selenium spring sqlite tensorflow travisci typescript

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  1. pdf-chat-agent pdf-chat-agent Public

    An AI Agent for PDF-Based Question Answering using Open AI LLMs , LangChain and Chroma DB vector database with RAG

    Python

  2. fastapi-elasticsearch-semantic-search fastapi-elasticsearch-semantic-search Public

    Project demonstrating an Advanced Semantic Search Engine Microservice for products using FastAPI, Elasticsearch and NLP Sentence Transformers.

    Python

  3. Multimodal_RAG Multimodal_RAG Public

    A Grand Theft Auto Multimodal Retrieval-Augmented Generation (RAG) Application that leverages LanceDB as a vector database, OpenAI’s “ViT-L/14” for multimodal embedding, and the GTA-Image-Captionin…

    Python 1

  4. Investment-Genie Investment-Genie Public

    Time Series analysis and prediction. Developed an investment algorithm aimed at optimizing profitability currently using MSFT data from yfinance.

    Python

  5. Recruiting-Talent-Finder Recruiting-Talent-Finder Public

    Designed an advanced ML workflow focused on optimizing talent acquisition costs through the efficient identification and screening of highly qualified candidates. Created an impactful ranking algor…

    Jupyter Notebook

  6. JavaCRDT JavaCRDT Public

    Custom made Data Structure for achieving strong eventual consistency and monotonicity (ie, there are no rollbacks) across a set of nodes in a distributed system. 2 implementations of conflict-free …

    Java 1