I am a Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning, with hands-on experience building machine learning models, AI-powered applications, and full-stack web platforms.
I work primarily with Python, SQL, C++, Flask, and data science libraries including Pandas, NumPy, and Scikit-learn. My technical interests include machine learning, anomaly detection, retrieval-augmented generation, LLM applications, and speech recognition.
Through internships, I have analyzed large-scale search-performance data, developed a Random Forest prediction model, and built a voice-enabled AI assistant for email and messaging workflows. I enjoy translating data and AI concepts into practical, secure applications.
I have also developed end-to-end projects using Flask, Supabase, Razorpay, Docker, and cloud security controls. My work includes CRM functionality, payment integrations, fraud detection, role-based access control, and data visualization.
I bring analytical problem-solving, clear communication, adaptability, teamwork, and cross-functional collaboration skills. I am seeking opportunities where I can contribute as a junior machine learning, AI, or software engineering professional while continuing to grow my technical expertise.
Analyzed more than 79 million rows of search-performance data to identify content-decline patterns and opportunities.
Built and validated a Random Forest model for content-decline prediction, achieving 0.41 Average Precision. Created a ranked content-action playbook and published the associated research paper through GitHub Pages.
Built an AI voice assistant that enabled hands-free email and messaging workflows through the Gmail API, WhatsApp via Twilio, and Telegram.
Implemented email summarization and secure voice-based actions using Flask, SQLite, and Docker. Added an administrative dashboard for activity monitoring, analytics, and role-based access control.
Bachelor of Technology, Computer Science and Engineering with Artificial Intelligence and Machine Learning
Currently pursuing a Bachelor of Technology in Computer Science and Engineering with AI and ML specialization. Current CGPA: 8.01.
XII - CBSE
Completed Class XII under the CBSE curriculum with 86%.
X - CBSE
Completed Class X under the CBSE curriculum with 89%.
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