Amith Valluri
Software Engineer • Rajahmundry • v*************@gmail.com • 738****555 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Software Engineer with 0 years of experience developing backend applications and AI/ML prototypes using Python, Flask/Django, and SQL. Skilled in building RESTful APIs, data analysis, and deploying applications on AWS. Seeking an entry-level software engineering role to apply backend and ML skills to deliver reliable, scalable systems.
Technical Skills
Programming Languages: Python,Java,C,JavaScript
Web Technologies: HTML5,CSS3
Frameworks and Libraries: Flask,Django,NumPy,Pandas,PyTorch,OpenCV,Qiskit
Databases: MySQL,MongoDB
Cloud and DevOps: AWS,EC2,S3,IAM,RDS
Testing: Unit Testing
Data and Analytics: Microsoft Excel,Power BI
Tools and Methodologies: Git,GitHub,Agile,Scrum
Development Practices: SDLC,OOP
Work Experience
Blackbucks
Full Stack Development Intern
Interned at Blackbucks, a transportation/logistics technology company, building full-stack web applications and backend APIs to support operational workflows and customer-facing tools.
Tech Stack: Flask, JavaScript, RESTful APIs, MySQL, AWS EC2, AWS S3, Git, GitHub
- Designed and deployed 2+ full-stack web applications using Flask and JavaScript, building RESTful APIs and integrating MySQL backends to support core features and data persistence.
- Refactored database interactions and optimized queries, improving data retrieval efficiency by 30% for key application workflows.
- Deployed applications to AWS (EC2, S3) to enable scalable access during testing, achieving 99.9% uptime for 100+ daily test users.
- Implemented user authentication and responsive UI patterns to improve security and usability across desktop and mobile interfaces.
- Optimized API endpoints (Flask) and frontend request flows to reduce perceived latency and improve overall application responsiveness.
- Used Git and GitHub within Agile sprints, wrote unit tests and documentation to support maintainability and handover.
Projects
AI-driven Smart Traffic Management System
Tools Used: Python, OpenCV, NumPy, Pandas
- Designed an AI-driven traffic management system using real-time sensor feeds and computer vision to dynamically control traffic signals.
- Implemented vision pipelines and control logic with OpenCV and Python to optimize intersection timing, improving average travel time by ~25%.
- Benchmarked against SURTRAC scenarios and achieved ~40% decrease in intersection wait times, reducing congestion and estimated emissions.
Quantum-Enhanced ANN for Medical Image Compression
Tools Used: Python, PyTorch, OpenCV, Qiskit
- Developed a quantum-inspired deep learning model to compress MRI medical images while preserving structural similarity.
- Trained and evaluated models using PyTorch and OpenCV preprocessing, achieving high PSNR and SSIM scores that maintained diagnostic detail.
- Explored quantum circuits via Qiskit to enhance model components and analyzed compression-performance trade-offs for medical imaging use-cases.
Education
GIET Engineering College
B.Tech in Information Technology • Rajahmundry • 2022 – 2026
Vidya Vikas Junior College
Intermediate in MPC • Jangareddygudem • 2020 – 2022
Sai Rakesh EM High School
SSC (10th) • Koyyalagudem • 2019 – 2020
Certifications
Microsoft Azure AI Essentials Professional Certificate — Microsoft
Snowflake Generative AI Professional Certificate — Snowflake
Microsoft Power BI Professional Certificate — Microsoft
Oracle Certified AI Foundations Associate — Oracle
Python Professional Certificate — HarvardX (edX)
Data Science using Python — NPTEL
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