Headline

B.tech CSE| Ex- AI Intern| Full Stack Developer| AI/ML learner| GSSoC’25 Contributor

About

I'm a Computer Science Engineering student passionate about building intelligent systems using AI/ML and web technologies. I enjoy turning ideas into real-world solutions through clean code and practical design. My experience spans Python, C++, and JavaScript, with projects involving natural language processing, supervised learning, and LLM-powered applications. I’ve worked on tools like emotion detection systems and AI-driven Chrome extensions, combining backend logic with intuitive frontend. I’m always exploring new technologies, improving my problem-solving skills, and learning by creating. I believe in staying curious, being consistent, and building things that matter.

Location

Noida

AI stack

gemini

hugging face

langchain

openai

Work experience

Social media Lead at Google Developer Groups - JIIT 128, Sep 2024 - Present · 1 yr 10 mos

Intern at Intrvuz, Sep 2025 - Dec 2025 · 4 mos, Improved accuracy of the verification process by designing a guided capture UI that reduces user errors. Enhanced user experience by implementing clean UI/UX elements for selfie alignment. Gained hands-on experience in computer vision workflows and ML-based fraud detection systems.

Open Source Contributor at GirlScript Summer of Code, Jul 2025 - Oct 2025 · 4 mos, Remote

AI/ML Trainee at Monkhub Innovations, Jun 2025 - Aug 2025 · 3 mos, Worked on an AI-based RAG voice agent using LangChain, Gemini, and LLMs for real-time information retrieval and conversational responses. Tested and optimized sentiment analysis models that processed live audio input to predict user emotions using NLP and speech processing techniques. Integrated model outputs with backend systems using Python and Flask, ensuring smooth real-time data flow.

AI Intern at TEACHNOOK (TEACHSCAPE ONLINE LEARNING SERVICES PRIVATE LIMITED), Jun 2024 - Jul 2024 · 2 mos, Built an ML pipeline to detect human emotion from open-ended answers using TF-IDF and classifiers. Applied supervised learning (Naive Bayes, Logistic Regression) with scikit-learn. Preprocessed and evaluated real-world text data with high accuracy.

Education

Bachelor of Technology - BTech, Computer Science, jaypee institute of information technology

PCM with Computer Science, Delhi Public School - R. K. Puram