A brief overview of my professional and academic experience

SDE Intern at Enest

Feb 2025 - Dec 2025

• Built 45+ RESTful APIs and 10+ full-stack features using Next.js, Express.js, and MongoDB, serving 5,000+ monthly active users.
• Reduced page load time by 40% through SSR optimization and implemented JWT auth with role-based access control for 5 user types.
• Managed a team of 3 interns, overseeing feature development from design mockups to production-ready code.

SDE Intern at MetaStar Media

July 2025 - Sep 2025

• Architected and deployed a scalable backend system using Next.js, Express.js, and MySQL, handling 1,000+ daily API requests.
• Developed 12 SSR pages and 50+ reusable React components, reducing frontend development time by 30% for subsequent features.
• Built secure REST APIs with input validation and rate limiting; contributed to Vue.js internal tools used by 15+ team members.

Automation Intern at SmallGroup

July 2025 - Sep 2025

• Created 25+ n8n automation workflows for LinkedIn lead generation, achieving 60% improvement in outreach efficiency.
• Integrated GPT-4 and Gemini APIs with Notion, Slack, and Pinecone, building RAG-based chatbots with 85% query accuracy.
• Built an AI-backed Telegram bot using GPT-4 for automated responses, handling 200+ daily queries.

Head of Technology at Google Developers Group IIIT Sricity

Aug 2025 - Present

• Led technical strategy for GDG IIIT Sricity, overseeing 5+ community projects with 50+ active contributors.
• Mentored 30+ developers in React, Node.js, Git, and system design through workshops and code reviews.
• Deployed event infrastructure on AWS and Firebase, supporting 500+ attendees across 10+ technical events.

Deep Learning Core at Epoch

Aug 2024 - Aug 2025

• Organized and conducted a 3-day hands-on DL bootcamp for 100+ students covering ANNs, CNNs, and diving deep into Deep Learning.
• Built ML projects including a Resume Screener NLP tool (Python, NLTK, Streamlit) and Crop Yield Predictor (Python, Scikit-learn, Flask).
• Mentored 60+ juniors in ML/DL concepts, resulting in 10+ successful hackathon project submissions.

AI/ML Core at IOTA

Aug 2024 - Aug 2025

• Led development of 4 AI/ML projects from ideation to deployment, including an AgriAI assistant with 90% prediction accuracy.
• Represented IOTA in 6 inter-college hackathons, winning 2 competitions and securing 3 top-5 finishes.
• Guided 15+ team members in Python, scikit-learn, and TensorFlow, contributing to 10+ successful project deliveries.