Mritunjay M.

Currently working as a AI Developer fine tuning Voice AI Chatbot for a B2B startup based in FinTech markets . Previously made Retrieval-Augmented Generation chatbots for the clients using GPT-4 and GPT-4o-mini .Indulged in Machine Learning field for more than 2 years as of now , that led me to work in prior 2 companies working closely with the clients in projects designing MLOps pipelines as a Tech Engineer and as a Freelancer. SERVICES I OFFER: ✅ Engaging with complex datasets from sources like Kaggle ,AWS Public Datasets and UCI datasets for exploration of essential data science concepts. This process includes data cleaning, exploratory data analysis (EDA), and visualization to extract meaningful insights and train the defined supervised or unsupervised model. ✅ Using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) in machine learning for handling structured data and image recognition, respectively. Implementing these models requires careful architecture design and optimization through backpropagation to achieve high accuracy. ✅ Creating Continuous Integration/Continuous Deployment (CI/CD) pipeline automating the integration of code changes to ensure efficient deployment to platforms like AWS EC2 and Vercel. Utilizing tools such as GitHub Actions which enhance the workflow efficiency while maintaining code quality. ✅ Building Generative AI chatbots using frameworks like LangChain, which integrates language models into applications. By employing Retrieval-Augmented Generation (RAG) techniques, these chatbots enhance their conversational capabilities with access to external knowledge bases. ✅ Mastering complex Data Structures and Algorithms (DSA) problems is essential for aspiring software engineers and data scientists. Python’s rich libraries and straightforward syntax make it an ideal language for practicing algorithm design and optimization strategies on platforms like LeetCode or GeeksForGeeks. TECH STACK I USE : ☑️ Programming Languages: Python, HTML/CSS, R ☑️ Deep Learning Frameworks/Tools: Tensorflow, Pytorch, Keras, mlxtend, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Gen AI : LLMs, Retrieval-Augmented Generation , FAISS ☑️ Finetuning ASR and Seq2Seq models using LoRA and QLoRA ☑️ Web Framework: Flask, Streamlit ☑️ Cloud Platforms: AWS, Vercel ☑️ Database Management: SQL,NoSQL ☑️ Development Tools/Paradigms: AWS, Heroku, Git, Github Actions,MLflow, Mlops,CI/CD ☑️ IOT : Raspberry PI, Sensors, Linux Feel free to reach me. Lets get together and build something !