I am a Machine Learning Engineer and Software Developer with over six years of experience delivering technology-driven solutions that enhance customer experiences and automate business processes. My journey began in full-stack development, where I specialized in the MERN stack and React-Native, creating responsive web applications and seamless mobile experiences.In the last two years, I transitioned into Machine Learning, driven by a passion to build predictive, AI-powered systems that solve complex problems. I have a proven track record of developing and integrating machine learning models into scalable solutions that drive real-world results.One of my key projects involved creating a Langchain-based customer support app that automated 70% of customer queries, reducing response time by 40% and improving overall support efficiency. I also worked on a metadata generation system using Llama2, FAISS, and RAG, which boosted data retrieval accuracy by 30%.Another project focused on AI video summarization using Mixtral, Whisper, and AWS, reducing manual content review time by 50%. I developed an exploratory data analysis (EDA) chatbot using Langchain and Streamlit, allowing non-technical users to extract insights from data through natural language queries.With expertise in Python, TensorFlow, PyTorch, and Scikit-Learn, I am passionate about delivering user-friendly, scalable solutions. What sets me apart is my holistic approach to building products—from developing models to integrating them into real-world applications.Currently, I’m seeking new opportunities where I can apply my skills to create AI-driven solutions that make a tangible difference. Let’s connect and explore ways to collaborate on impactful projects.