Aspiring AWS Python Software Engineer

Dinesh Ghule Location: Pune, India

LinkedIn GitHub Email: ********@*****.*** Mobile:775-***-****

Professional Summary

Aspiring Software Engineer with knowledge of Python, SQL, MySQL, AWS Cloud Services, and Automation. Skilled in developing cloud-based and automation solutions with hands-on experience in AWS services. Familiar with front-end technologies including HTML, CSS, and JavaScript, along with a basic understanding of AI/ML concepts. Strong analytical and problem-solving abilities with a keen interest in cloud computing, software development, and emerging technologies.

TECHNICAL SKILLS

Languages : Python, SQL

Web : HTML, CSS, REST APIs, APIs

AWS Services : S3, EC2, Lambda, Rekognition, Polly, CloudWatch, RDS, IAM, SNS Databases : MySQL, DynamoDB

Tools : GitHub, AWS, VS Code, Jupyter Notebook

Machine Learning and Data Science : NumPy, Pandas, Scikit-learn, Feature Engineering, Model Evaluation, Computer Vision

EDUCATION

Bharati Vidyapeeth, Pune 8.72 CGPA

BSc Computer Science June 2023 – June 2026

Sangola Vidyamandir Sangola, Sangola 52.00%

HSC March 2022

Vidyamandir HighSchool, Mangalwedha 85.20%

SSC March 2020

PROJECTS

Smart Image Recognition & Voice Generator (AWS) Amazon S3, Lambda, DynamoDB, CloudWatch, IAM.

• Developed a serverless AWS application that automatically detects and analyzes objects, text, and labels from uploaded images using AWS services, providing users with intelligent image recognition capabilities.

• Implemented AWS Lambda functions to process images stored in Amazon S3 and generate voice-based descriptions, enabling users to listen to image content through automated audio generation.

• Integrated Amazon DynamoDB to securely store image metadata, recognition results, and generated audio information, ensuring efficient data management and quick retrieval.

• Configured AWS CloudWatch for monitoring and logging application performance, while applying AWS IAM roles and policies to maintain secure access control and follow cloud security best practices. Cloud Cafe – Highly Available Web Application Deployment using AWS ALB EC2, ALB, IAM, VPC, ASG.

• Designed and deployed a highly available web application infrastructure on AWS using Application Load Balancer (ALB) to distribute incoming traffic across multiple EC2 instances.

• Configured Auto Scaling Groups to automatically launch and terminate EC2 instances based on application demand, improving performance, scalability, and fault tolerance.

• Implemented secure networking using Amazon VPC, Security Groups, and IAM policies to control access and enhance cloud security.

• Monitored application availability and load balancing performance while ensuring continuous service delivery through a multi-instance architecture.

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CERTIFICATIONS AND ACHIEVEMENTS

• Ongoing Technical Development: Consistently enhanced technical skills through self-learning, project-based development, and participation in online training programs focused on Cloud Computing, AI/ML, and Software Development.

• Certified in GENAI-101 from FutureSkills Prime

• Certified in Python – from Sysslan IT Solutions

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