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India
2+ years of experience
I am an aspiring AI engineer and data scientist currently pursuing my B.Tech in Computer Science and Engineering with a specialization in Data Science at Dwarkadas J. Sanghvi College of Engineering. I enjoy building practical AI systems that solve real problems and create measurable impact. During my AI & ML internship at InLighnX Tech Global, I developed machine learning pipelines including a medical image classifier with 92% accuracy, a traffic sign prediction model for NHCI standards, and a demand-forecasting system for sales and inventory planning. As a Data Analyst at Prasunet Foundation, I built interactive dashboards, analyzed customer behavior, and deployed insights using Streamlit. I’ve worked on several technical projects, such as a global COVID-19 forecasting model that visualized real-time infection trends using Flask and Dash, and a Band Gap prediction system where I improved model accuracy from 90% to 94.2% using deep learning with TensorFlow. I also built JusticePal, a legal-assistant AI chatbot powered by Transformers, Deep Translator, and BlenderBot, deployed through Gradio. I actively contribute to open-source projects, improving utilities in the Supervision library and optimizing memory operations in Mamba2 models. I’m a finalist in major hackathons, including IIT Kharagpur’s Excavate Composit, NIT Patna’s ByteVerse, and ideathons at IIT Delhi and NMIMS. My skillset spans Python, machine learning, deep learning, React, Node.js, TensorFlow, Scikit-Learn, data analytics, and full-stack development. I’ve also completed virtual internships with Deloitte, BCGX, AWS, and McKinsey Forward. I’m continually exploring ways to apply AI to meaningful, impactful problems and aim to build technology that is reliable, accessible, and useful at scale.