Harsha Vardhan Valiboin a
AI/ML Engineer / Full-Stack Developer • Guntur, Andhra Pradesh • h******************@gmail.com • 938****127 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
AI/ML Engineer with 1+ years of experience building end-to-end machine learning solutions and full‑stack web applications. Skilled in Python and TensorFlow for model development and Pandas/NumPy for data preparation, with hands-on model validation using scikit‑learn. Experienced building MERN-based frontends and backends (React, Node.js, Express) and integrating MongoDB for longitudinal health records and analytics. Delivered containerized deployment workflows using Docker and AWS ECS with artifact storage on Amazon S3 and real‑time log streaming via Socket.io. Worked across healthcare monitoring, cloud deployment tooling, and consumer-facing travel UIs, owning feature design, implementation, and testing. Seeks roles that combine ML model development with production deployment and full‑stack delivery.
Technical Skills
Programming Language: Python,JavaScript,SQL
Frontend Technologies: HTML,CSS,React
Backend Technologies: Node.js
Databases: MongoDB
Cloud Platforms: Amazon Web Services,ECS,S3
Version Control & Development Tools: GitHub,VS Code
DevOps & Infrastructure: Docker
API & Integrations: Socket.io
Data Analysis & Visualization: Pandas,Matplotlib,Seaborn
AI/ML Frameworks & Libraries: TensorFlow,scikit-learn
Design Tools: Figma
Work Experience
VVIT, Guntur
Guntur, Andhra Pradesh
Full Stack & AI Developer — NCD Portal (Monitoring and Managing Non-Communicable Diseases)
Jan, 2024 – Mar, 2025
University-led healthcare platform to monitor diabetes and hypertension; I built ML risk models and the MERN-based application for tracking, visualization and awareness.
Tech Stack: Node.js, React.js, MongoDB, TensorFlow, Pandas, Matplotlib, Seaborn, SQL
- Architected backend REST APIs using Node.js and Express to model patient records and enable secure CRUD operations.
- Built responsive React.js interfaces for health data entry, personalized recommendations and longitudinal charts.
- Implemented a risk-prediction pipeline in TensorFlow and wrote Python preprocessing scripts with Pandas to prepare features from raw health parameters.
- Engineered visualization modules using Matplotlib and Seaborn to display time-series patient metrics and trends.
- Integrated MongoDB as the primary data store and designed document schemas for patient profiles and longitudinal measurements.
- Authored SQL queries and export utilities to aggregate anonymized metrics for analytics dashboards and reporting.
- Designed FAQ, awareness content and a user query-handling flow to improve healthcare awareness and information access for rural and semi-urban users.
- Evaluated model performance and generalization using scikit-learn metrics and cross-validation pipelines.
VVIT, Guntur
Guntur, Andhra Pradesh
Backend & Cloud Developer — Cloud-Based Web Application Deployment Platform
Jan, 2025 – Mar, 2025
Academic project to build an automated platform that deploys web applications from GitHub repos using containerization and cloud orchestration.
Tech Stack: Node.js, Docker, AWS ECS, Amazon S3, Socket.io, GitHub, Python
- Orchestrated backend workflow services using Node.js and Express to coordinate build, package and deployment steps triggered from GitHub.
- Implemented Docker-based build pipelines to containerize incoming web applications and standardize artifacts.
- Configured AWS ECS clusters to run application containers and used Amazon S3 to persist build artifacts and logs.
- Streamed real-time deployment logs to web clients using Socket.io to enable live monitoring during builds.
- Engineered GitHub integration to detect repository pushes and trigger automated build-and-deploy workflows.
- Built logging and rollback helpers and developed Python utilities to capture build errors and surface actionable diagnostics.
VVIT, Guntur
Guntur, Andhra Pradesh
Frontend Developer — Travel Advisor Web Application
Feb, 2025 – July, 2025
Student project to deliver a responsive travel-planning web application focused on accessibility and an intuitive trip‑planning experience.
Tech Stack: HTML, CSS, JavaScript, Figma, VS Code
- Designed responsive user interfaces using HTML and CSS following mobile-first principles for broad device compatibility.
- Implemented client-side trip-planning features—search, filtering and itinerary assembly—using JavaScript and DOM optimization.
- Created interactive wireframes and UI flows in Figma to define information architecture and accessibility requirements.
- Optimized front-end performance by reducing asset sizes and deferring non-critical scripts to improve perceived load time.
- Applied ARIA attributes and conducted accessibility fixes to improve usability for keyboard and screen-reader users.
- Debugged and iterated the UI using VS Code and browser developer tools to ensure cross-device and cross-browser compatibility.
Education
Vasireddy Venkatadri Institute of Technology
Bachelor of Technology in Artificial Intelligence and Data Science • Andhra Pradesh, India • 2026
LVR Viswa Junior College
Intermediate • Tenali, Andhra Pradesh, India • 2022
Sri Devi High School
SSC • Tenali, Andhra Pradesh, India • 2020
Certifications
Data Analysis with Python — IBM SkillsBuild
Programming in Java — NPTEL
The Joy of Computing Using Python — NPTEL
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