About
Innovative computer science engineering student with hands-on experience in AI-driven projects, hackathons, and research-based competitions. Interested in software development, machine learning, and research, with strengths in problem solving and leadership.
Experience
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Software/Mobile App InternTalbotiQMay 2026 – Present
Developing Document Parser and Sales CRM modules end-to-end. Working on OCR/NLP-based data extraction, document classification, and human-in-the-loop validation workflows; contributing to Sales CRM workflows including leads, opportunities, invoicing, and AI-driven automation.
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Software InternOptisolDec 2025 – Feb 2026
Completed structured learning paths in Python, Java, JavaScript, Machine Learning fundamentals, and PL/SQL. Gained hands-on exposure to programming logic, database querying, and basic ML workflows.
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Student InternAICTEMay 2023 – Jun 2023
Completed the AICTE–Google Virtual Internship, covering cloud fundamentals, software engineering workflows, and applied problem-solving through structured industry-designed modules.
Education
- 2027
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2023
High SchoolHMR International School2021 – 2023
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SecondarySt Vincent Pallotti School
Skills
Tools / apps / platforms
Languages
Projects
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Smart Maternity Health Monitoring and Guidance PlatformApp development, user-centric design
Developing a maternity care application for pregnancy tracking, health guidance, and reminder-based support.
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Object Recognition and Virtual Labeling AppAI, mobile app development
Created an AI-powered mobile app for real-time object recognition and virtual labeling; managed team roles, implementation flow, and presentation delivery.
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Anti-Fraud Detection SystemMachine Learning
Designed a system to detect fraudulent transactions in real time using machine learning techniques and pattern recognition.
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NeuroTwin – Multimodal Cognitive Fatigue Detection SystemMachine Learning, XGBoost, UTA Real-Life Drowsiness Dataset
A system combining eye-blink analysis and typing behavior to monitor cognitive fatigue. Extracted blink-rate features and integrated keystroke dynamics.
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Simulated Smart Cruise Control for Railway SystemsAI, control logic, predictive algorithms
AI-based dynamic speed control model for railway systems; developed a real-time simulation framework and led a 3-member team under faculty mentorship. Paper in progress.
Courses & certifications
- SAP-Generative AI · Oracle OCI Generative AI Guidance Platform
- Advanced Programming Practices
- Introduction to Relational Databases · IBM
- Introduction to Machine Learning · IIT Kanpur
- Programming Foundations in HTML, CSS, and JavaScript · Duke University
- Introduction to IoT · UC Irvine
- Machine Learning · University of Michigan
- Blockchain Technology · University of Michigan
- The Social and Technical Context of Health Informatics · Johns Hopkins University
- Foundation and Potential of AI in Healthcare · University of Colorado System
📚 Publications
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Neurotwin · 2026
🤝 Volunteering
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Samarthanam trust for disabled · Volunteer · 2025
worked as a scribe for visually impaired students