Asfiya Syeed.
I’m a final-year CS student who loves the challenge of turning complex data into tools people can actually use. Whether it’s building a smart posture coach that watches your back or an AI agent that speaks both English and Hindi, I enjoy bridging the gap between code and the real world. I’ve spent my time getting comfortable with Python and AWS, moving projects from simple ideas into secure, working applications.
Work Experience
Data Analyst Intern
Oasis Infobyte
Analyzed large transactional datasets using Python to identify patterns and anomalies in user behavior. Built interactive visualizations using Matplotlib to support data-driven decision-making. Performed data cleaning and preprocessing to transform raw data into actionable business insights.
Machine Learning Trainee & Alumni
Girls Leading Tech
Completed an intensive ML cohort, developing 4 real-world projects including Glytelligence for the Global AI Buildathon. Built end-to-end predictive models aligned with UN SDG 3 using structured Python workflows. Collaborated with a nationwide network of engineers to evaluate models and solve data-driven challenges.
Skills
Projects
PulmoVision (Deep Learning Medical App)
Developed a full-stack Flask application using MobileNet to detect pneumonia from chest X-ray images, achieving 90%+ accuracy. Implemented image preprocessing techniques for consistent model input. Built a secure hospital portal with session-based authentication and real-time inference feedback for AI-assisted diagnosis.
TheDeskDoc (Real-Time AI Posture Coach)
Developed a real-time posture monitoring system using MediaPipe and OpenCV to track body landmarks and compute spinal alignment angles. Optimized low-latency video streaming with WebRTC and asynchronous processing for instant visual feedback. Designed a calibration system using Streamlit to enable personalized ergonomic threshold settings.
AI Career Coach (AWS Enterprise AI)
Architected an automated coaching system on AWS using Amazon Q Business for RAG-based skill gap analysis. Managed data ingestion from Amazon S3 knowledge bases and configured guardrails to ensure source-cited, reliable AI responses. Validated production-ready application states within the AWS console with a focus on administrative security and access controls.
Wellora: Multimodal AI Health Companion
Developed a bilingual AI agent using ElevenLabs and Gemini 2.5 Flash to deliver proactive, preventive healthcare guidance. Engineered advanced system prompting to maintain a supportive medical persona while providing personalized nutrition and exercise recommendations. Optimized voice interaction workflows for low-latency responses, improving accessibility for users in rural and semi-urban regions.
Education
Bachelor of Technology (B.Tech), Computer Science & Engineering (Data Science)
Presidency University, Bengaluru
CGPA: 8.59 / 10.0
Class XII (PCMB)
Presidency College, Bengaluru
Percentage: 97.16%