Uppara Siddarth
Computer Vision Engineer • Bengaluru, India • s**********@gmail.com • +91*******929 • drivetube.ai/•••••
Professional Summary
Computer Vision Engineer with 1+ years of experience building real-time computer vision systems and scalable Flask backends. Experienced in OpenCV, MediaPipe, PyTorch and OCR pipelines, with practical knowledge of SQL databases, containerization, CI workflows, and AWS cloud services. Skilled at delivering performant end-to-end ML-enabled applications and improving developer workflows through modular design and automation.
Technical Skills
Programming Languages: Python,JavaScript
Web Technologies: HTML,CSS
Frameworks and Libraries: Flask,OpenCV,PyTorch,NumPy,Pandas
Databases: MySQL,MongoDB,SQL,Data preprocessing
Cloud and DevOps: Docker,Jenkins,Kubernetes,Terraform,AWS EC2,AWS S3,AWS IAM,VPC,Elastic Beanstalk,CI,CD
Data and Analytics: MediaPipe,OCR systems,FreeType,Data visualization,Power BI
Tools and Methodologies: Git,GitHub,Linux Ubuntu,VS Code,Windows,macOS
Core Areas: Computer Vision,OCR,Full-Stack Development,Data Analytics
Work Experience
Pentagon Space
Bengaluru, India
Python Full Stack Developer Intern
Jul 2025 – Feb 2026
Built web applications and backend services using Python/Flask and MySQL while collaborating on end-to-end product development and clean, modular code.
Tech Stack: Python, Flask, HTML, CSS, JavaScript, MySQL, Git, GitHub, Docker, Linux, VS Code
- Developed responsive full-stack web interfaces and server endpoints using Flask, HTML, CSS and JavaScript to support application workflows and user interactions.
- Designed and integrated MySQL-backed data models and implemented secure CRUD APIs, ensuring reliable data persistence and input validation.
- Implemented REST endpoints and server-side logic in Flask to support frontend features and performed query optimization for faster responses.
- Adopted Git and GitHub workflows with pull requests and code reviews to maintain code quality and accelerate feature delivery across the team.
- Containerized development environments using Docker for consistent local builds and simplified handoffs between development and QA.
- Followed modular architecture and clean-coding practices to improve maintainability, reduce technical debt, and streamline feature onboarding.
Rooman Technologies
Bengaluru, India
AI Data Analytics Intern
Sep 2024 – Feb 2025
Supported data analysis and BI workflows by preprocessing structured datasets, building Power BI dashboards, and automating repetitive data tasks to drive business reporting.
Tech Stack: Python, Pandas, SQL, MySQL, Power BI, Git, Linux
- Performed exploratory data analysis and preprocessing using Python and Pandas to clean, normalize, and validate structured datasets for downstream analytics.
- Authored reusable ETL scripts to transform raw inputs and automated repetitive processing steps, reducing manual effort and improving consistency.
- Designed and developed interactive Power BI dashboards to visualize KPIs and trends, enabling stakeholders to interpret data-driven insights.
- Executed SQL queries and dataset joins in MySQL to create aggregated views used for reporting and decision support.
- Collaborated with cross-functional stakeholders to translate business questions into measurable analytics requirements and dashboard features.
- Documented data workflows, assumptions, and preprocessing steps to ensure reproducibility and handover to operations teams.
AI Data Analytics
Projects
Yoga Pose Analysis with Ollama Chat
Tools Used: HTML, CSS, JavaScript, Python, MediaPipe, OpenCV, Flask, Ollama
- Built a real-time AI-powered yoga posture detection system using OpenCV and MediaPipe with 33-point body landmark tracking for precise pose estimation.
- Implemented a live skeleton overlay and pose analysis engine that evaluates alignment and issues corrective, voice-assisted feedback to users.
- Integrated an Ollama-based chatbot to deliver personalized health tips and context-aware guidance based on detected poses.
- Designed a scalable Flask backend to handle video frames, process pose inference, and stream results to the frontend with minimal latency.
Text Detection and Recognition for Images of Medical Laboratory Reports
Tools Used: Python, PyTorch, FreeType, OpenCV, OCR
- Developed an OCR-based deep learning pipeline to detect and recognize text in medical laboratory report images achieving 92% text recognition accuracy on the test set.
- Implemented patch-based image processing to handle high-resolution reports while preserving text clarity and spatial structure.
- Trained and evaluated PyTorch models for both text localization and recognition, tuning architectures and loss to improve robustness on noisy scans.
- Extracted structured data from reports to support downstream clinical-data workflows and reduce manual data entry effort.
Education
M S Engineering College, Bengaluru (Visvesvaraya Technological University)
B.E. in Computer Science and Engineering • Bengaluru, India • 2021 – 2025
Narayana Junior College
Board of Intermediate Education • Andhra Pradesh, India • 2019 – 2021
Certifications
Python Full Stack Development — Pentagon Space, Bengaluru • Feb 2026
Data Analytics Internship Certificate — Rooman Technologies • Feb 2025
Techniques for Big Data Analytics — Infosys Springboard • Jun 2024
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