Transportation demand forecasting
Learning patterns in mobility data to anticipate where and when demand will emerge.
Computer Science Engineering student · Problem solver · Software engineer
I build thoughtful mobile products and AI-assisted systems end-to-end — from architecture and interaction design to backend structure, evaluation, and release.
A Computer Science Engineering student who turns ambiguous ideas into shipped software.
With strong fundamentals in Data Structures, Algorithms, and Object-Oriented Programming, I enjoy solving problems quickly and learning new languages and platforms. I have independently shipped an Android product and directed multiple AI-assisted engineering projects across mobile systems and agentic AI.
I care about the decisions behind a product: clear architecture, useful interfaces, maintainable backend structure, and honest evaluation of what has been built.
Contact coordinates
Alongside product engineering, I am developing a research direction in machine learning, predictive analytics, and data-driven transportation systems. I am interested in applying these tools to the way people and networks move.
Future direction · Transportation ML & intelligent mobilityLearning patterns in mobility data to anticipate where and when demand will emerge.
Combining temporal signals and machine learning to understand changing network conditions.
Exploring data-driven urban mobility tools, transportation network analysis, and resilience.
Turning complex movement data into interpretable evidence for better decisions.
Selected work connecting statistical modeling and machine learning with real-world datasets.
NYC taxi demand pipeline covering preprocessing, feature engineering, aggregation, model comparison across XGBoost, LSTM, and TCN, plus SHAP-based interpretation.
Repository ↗Reproducible probabilistic earthquake forecasting using the JMA catalog, with completeness estimation, declustering, ETAS modeling, calibration, and reliability-focused validation.
Repository ↗Independently conceived, designed, and shipped an interview-preparation and resume-builder Android app. Owned the architecture, UI/UX, backend structure, AI API integration, and product decisions, including freemium and subscription monetization.
Play Store link · add verified URLDirected the end-to-end build of an AI-powered food journal and habit tracker. Owned UX architecture, navigation, and the color/design-token system; designed a cost-conscious Firestore offline-first sync architecture for multi-device use.
Gemini-assisted nutrition estimation populates meal macros, calories, and daily/weekly trend insights.
Closed beta website · link not providedDirected an AI-assisted build of a Flutter-based agentic system for planning, tool execution, document generation, and file/web interaction. Owned modular architecture, persistence design, audit logging, and the extensible tool-registry structure.
GitHub repository ↗Smart Accident Detection and Alert System · Automated incident detection and notification mechanisms.
Arduino Motion Detection Automatic Light Control · Sensor-based, energy-efficient lighting control.
Make A Difference (MAD) · Guntur, Andhra Pradesh
Supported teaching and mentoring for underprivileged children, translating complex ideas into approachable learning experiences and contributing consistently to the program.
Certificate of recognitionIndependent
Worked on keyword research, title and description optimization, and client delivery for YouTube content and channel growth.
Research · optimization · communicationJEE Main 2023: 94.73 percentile · AP EAPCET 2023: Rank 2710
VIT-AP University · Amaravati, India
CGPA: 8.57 / 10Relevant coursework: Data Structures · Algorithms · OOP · Software Engineering · Mobile App DevelopmentBhashyam Jr. College · Guntur, India
State Board: 94.7%Sri Venkateswara Bala Kuteer · Guntur, India
State Board: 83%Open to software engineering opportunities, product collaborations, and conversations about mobile systems, AI-assisted engineering, and research.