About
Highly motivated and results-driven AI Engineer and Data Scientist with a robust foundation in machine learning, deep learning, and natural language processing. Proven ability to design, develop, and deploy intelligent systems, leveraging cutting-edge technologies like Generative AI, Computer Vision, and MLOps tools. Adept at transforming complex data into actionable insights and building user-centric applications that drive efficiency and enhance decision-making. Eager to contribute to innovative projects that push the boundaries of AI.
Work
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Summary
Contributed to the development of AI-driven solutions for educational technology, focusing on enhancing user experience and optimizing student-college matching processes.
Highlights
Developed and deployed an AI-powered chatbot leveraging GPT-3.5 and Retrieval-Augmented Generation (RAG) to deliver highly accurate and contextually relevant responses, reducing query resolution time.
Engineered an intuitive Streamlit web application, significantly enhancing user experience and accessibility for the chatbot, resulting in seamless user interaction.
Designed and implemented an intelligent recommendation engine, optimizing student-college matching by analyzing individual preferences, comprehensive college descriptions, and mentor guidance call transcripts.
Languages
English
Proficient
Hindi
Native
Skills
Programming Languages
Python, C++.
Data Analysis
NumPy, Pandas, Matplotlib, Seaborn.
Machine Learning
Scikit-learn, TensorFlow/Keras, PyTorch.
Computer Vision
OpenCV, CNN, YOLO, Vision Transformers.
Natural Language Processing
RNN, LSTM, NLTK, Transformers, LLM (Fine-Tuning), LoRa, QLoRa.
Generative AI
LangChain, LlamaIndex, Hugging Face, CrewAI, Grok, Ollama.
Databases
MySQL, MongoDB, ChromaDB, Pinecone, Weaviate.
MLOps Tools
Flask, Git, MLflow, Docker, DVC, Airflow, CI/CD, GitHub Actions.
Web Development
Streamlit, FastAPI.