MCA student and AI/ML engineer focused on building data-driven products and applied automation systems.
I work at the intersection of data science, machine learning, and software engineering, with hands-on experience in real projects, internships, and deployed applications.

• Building applied AI/ML systems with real-world deployment constraints
• Data analytics and visualization for decision-making
• End-to-end project ownership — from dataset to deployed product

AI/ML Intern — Labmentix (May 2025 – Present)
Working on applied machine learning, analytics pipelines, and business-driven data projects.

Data Science & Analytics Intern — Future Interns (Feb 2025 – Mar 2025)
Delivered analytical dashboards and predictive modeling solutions.

Robotics Intern — Plasmid (Apr 2024 – Jun 2024)
Worked on embedded systems and sensor-integrated automation.

IT Intern — Worldwide Flight Services (Jun 2023 – Aug 2023)
Supported enterprise IT operations and system workflows.

AI-Helpdesk — AI-powered support automation system
Customer Sentiment Analytics — NLP pipeline for opinion mining
Retail Analytics — Business intelligence & KPI dashboarding
PhonePe Insights — Transactional data analytics case study
Brain Tumor Classification — Multi-model MRI image classifier (CNN, ResNet, EfficientNet)
Cognicloud — AI automation platform (in development)

(Full project are avasilable in my repositories)

Languages: Python, Java, JavaScript, C, SQL
AI/ML: Scikit-learn, TensorFlow, CNNs, NLP, LangChain
Data: Pandas, NumPy, Tableau, Power BI, Excel
Web: React, Node.js, REST APIs
Tools: Git, Docker, VS Code, Linux
Embedded: Arduino, Raspberry Pi
Cloud: AWS (Certified Cloud Practitioner)

• High-impact AI products
• Scalable automation systems
• Data-driven decision platforms
• Long-term: Technology entrepreneurship

Portfolio: https://thehypein.netlify.app Email: [email protected]

I believe in shipping real systems — not just collecting certificates.