Education
B.Tech CSE — AI specialization
Parul University
2023–2027
Open to software and AI/ML opportunities
Hello, I'mSiva KumarCode · Learn · Automate
Merging Artificial Intelligence with core software development to solve real-world problems. I build practical, intelligent software by combining strong programming fundamentals with continuous learning.
SK
⌘ Software & DSALearning by building
✳ AI / MLIdeas into reality
☁ Cloud TechnologyBuilding scalable solutions
100+Coding problems solved
4Internship experiences
5Featured projects
2027Expected graduation
Scroll to explorePORTFOLIO · 2026
01 / About me
Siva Kumar
Software Engineer
Computer Science student specializing in AI, dedicated to writing optimized code and solving real-world challenges
I'm pursuing a B.Tech in Computer Science and Engineering with an AI specialization at Parul University. My technical interests include programming, data structures, algorithms, software development and machine learning
I bridge the gap between complex algorithms and practical, user-centric software. I enjoy building useful applications, improving code quality and learning through hands-on projects.
Interests
SAP Technical Consultant
Software Engineering
Energy Data Analytics
Systems Engineer
Associate Product Engineer
Goals
Become a software engineer
Build practical solutions
Keep improving DSA skills
02 / Professional Experience
Hands-on
Experience
Internships that helped me apply technical concepts to practical projects
Jun — Jul 2025
Remote
Remote
Machine Learning Intern
IBM SkillsBuild and Edunet Foundation · Worked on an Adult Census Income classification workflow, including data preprocessing, categorical encoding, feature scaling and train/test splitting. Compared KNN, Logistic Regression and MLP models; the project README reports 82.69%, 82.73% and 85.18% accuracy, respectively, with MLP highest.
May — Jun 2025
Remote
Remote
Python Intern
APSSDC · Built a Python and Flask Marks Calculator with a responsive interface, live total and average previews, subject-level result indicators, input validation, and a print-friendly result report.
Aug 2024
Remote
Remote
Generative AI Intern
Prodigy InfoTech · Completed a one-month Generative AI internship, exploring Generative AI concepts and practical AI-assisted workflows.
Sep — Oct 2026
Remote
Remote
AWS Cloud Computing Intern
EWB Edutech Private Limited · Completed hands-on work involving VPC networking, route tables, security groups, EC2 access, VPC peering and connectivity troubleshooting.
03 / Selected work
Turning Ideas
into Execution
Four projects across machine learning, web development and agricultural analytics. Each card links to its own repository and README
income_class = model.predict(features)
models: KNN · Logistic · MLP
best reported: 85.18%
Employee Salary Prediction
Predicts whether a person’s annual income exceeds $50K using the Adult Census Income dataset. The workflow covers data cleaning and preprocessing, categorical encoding, feature scaling, train/test splitting and comparison of K-Nearest Neighbors, Logistic Regression and a Multi-Layer Perceptron. Reported accuracies are 82.69%, 82.73% and 85.18%, respectively, with the MLP performing best in the README results.
Read project README ↗movie_features = genres + cast
vectorizer: TF-IDF
similarity: cosine
Movie Recommendation System
A content-based recommendation app that analyzes movie genres, overview, director and cast. It converts text features into TF-IDF vectors, uses cosine similarity to identify related titles, supports genre preferences and returns the top five movie recommendations through a Flask web interface.
Read project README ↗total = Python + C + DSA
threshold: 35 / 100
live score preview ↗
Marks Calculator
A Flask-based marks calculator with a responsive interface and live total and average previews. It shows subject-level result indicators, validates empty, non-integer and out-of-range marks, applies the documented pass threshold of 35 out of 100 per subject, and generates a print-friendly result report.
Read project README ↗farm_income = revenue - costs
benefit_cost = benefits / costs
scenario analysis ±20%
AI-Based Agri-Flow Intelligence
A team project focused on practical farm financial analysis. The project concept organizes production costs and revenue to estimate Net Farm Income, calculate the Benefit-Cost Ratio, assess break-even points and run ±20% sensitivity scenarios. It also considers MSP/mandi context, government subsidies and sustainability-oriented recommendations. The repository currently has no README/code available to verify implementation details, so this summary reflects the project information provided in the resume.
Read project README ↗04 / AWS Hands-on Experience
Building in the
AWS Cloud
18 AWS projects and hands-on builds: one featured VPC Peering project plus 17 documented tasks across networking, security, compute, storage, serverless, databases and monitoring. Each task includes a preview, technical steps, learning outcomes and its own evidence document.
01 / FEATURED CLOUD PROJECT
Building in the
AWS Cloud
A hands-on VPC Peering project focused on private communication between two VPCs. Explore the problem statement, route-table configuration, security rules, SSH access and connectivity evidence.
02 / Networking
Networking & Security
VPCs, private subnets, Security Groups, Network ACLs and Route 53 private DNS.
03 / Infrastructure
Compute, Storage & Hosting
EC2, Application Load Balancing, Auto Scaling, S3, EBS, static website hosting and EFS lifecycle policies.
04 / Cloud Services
Identity, Data & Monitoring
IAM policies, Lambda versions and aliases, RDS MySQL, DynamoDB Streams and CloudWatch alarms.
02 / Networking & Security
Networking & Security
VPCs, private subnets, Security Groups, Network ACLs and Route 53 private DNS.
VPC & Private Subnet
Created a Virtual Private Cloud (VPC) named site1-vpc in the Ohio region (us-east-2) with the CIDR block 172.168.0.0/16.
Technical steps & learning outcomes
Implementation details
- Created a Virtual Private Cloud (VPC) named site1-vpc in the Ohio region (us-east-2) with the CIDR block 172.168.0.0/16.
- Set up a private subnet in us-east-2a with CIDR 172.168.1.0/24.
Outcome & learning
- All configurations passed 100% of the validation checks.
- Learned about VPC networking and subnet design in the cloud.
- This is the beginning of the cloud journey, with continued focus on building AWS skills.
Security Groups
Created a Security Group named Practice in the Ohio region (us-east-2).
Technical steps & learning outcomes
Implementation details
- Created a Security Group named Practice in the Ohio region (us-east-2).
- Configured inbound rules to allow SSH traffic on port 22 and SMTPS traffic on port 465.
- Configured an outbound rule to allow WinRM-HTTPS traffic on port 5986.
Outcome & learning
- All test cases passed successfully with 100% validation.
- Learned how to control and secure traffic to and from AWS resources using Security Groups.
- Strengthened understanding of cloud security best practices and network access management.
Network ACLs
Created a Network ACL named Usernetwork in the Europe (Ireland) region (eu-west-1).
Technical steps & learning outcomes
Implementation details
- Created a Network ACL named Usernetwork in the Europe (Ireland) region (eu-west-1).
- Inbound rules: allowed MySQL/Aurora traffic on port 3306 and denied RDP traffic on port 3389.
- Outbound rules: allowed Oracle traffic on port 1521 and denied WinRM-HTTP traffic on port 5985.
Outcome & learning
- All test cases passed successfully with 100% validation.
- Enhanced understanding of controlling inbound and outbound traffic at the subnet level using Network ACLs.
- Strengthened cloud security and network management skills.
Route 53 Private DNS
Created a Private Hosted Zone named dev-test.com.
Technical steps & learning outcomes
Implementation details
- Created a Private Hosted Zone named dev-test.com.
- Ensured the hosted zone is private and accessible only within the specified VPCs.
- Created a DNS A Record named testing.dev-test.com.
Outcome & learning
- All test cases passed with 100% success.
- Deepened understanding of internal domain resolution and DNS management in a cloud environment using AWS Route 53.
- Built a foundation for more advanced configurations and certifications.
03 / Compute, Storage & Hosting
Compute, Storage & Hosting
EC2, load balancing, Auto Scaling, S3, EBS, static website hosting and EFS lifecycle policies.
EC2 & Application Load Balancer
Launched two EC2 instances — serverinstance1 in us-west-2a and serverinstance2 in us-west-2b.
Technical steps & learning outcomes
Implementation details
- Launched two EC2 instances — serverinstance1 in us-west-2a and serverinstance2 in us-west-2b.
- Configured a Security Group to allow HTTP traffic on port 80 for both instances.
- Created a Target Group named servertargets and registered both EC2 instances.
- Set up an Application Load Balancer named serverelb listening on HTTP port 80 and linked it to the servertargets group.
Outcome & learning
- All test cases passed with 100% success.
- Improved understanding of designing fault-tolerant and highly available architectures in AWS using Application Load Balancers.
- Built experience applicable to real-world cloud deployments.
Launch Template & Auto Scaling Group
Created a Launch Template named sample1.
Technical steps & learning outcomes
Implementation details
- Created a Launch Template named sample1.
- Configured the template with Amazon Linux 2023, instance type t2.micro or t3.micro, key pair sample1, and a 15 GB root volume.
- Created an Auto Scaling Group named samplegroup.
- Configured Availability Zones us-west-2a and us-west-2b.
- Set maximum capacity to 4 instances, minimum capacity to 2 instances, and desired capacity to 2 instances.
Outcome & learning
- All test cases passed with 100% success.
- Enhanced understanding of automated scaling, load distribution, and infrastructure resilience in AWS.
S3 Versioning, Tags & File Upload
Created an S3 bucket named coder<account-id> in the us-east-2 (Ohio) region.
Technical steps & learning outcomes
Implementation details
- Created an S3 bucket named coder<account-id> in the us-east-2 (Ohio) region.
- Enabled Bucket Versioning for enhanced data durability.
- Added a tag: Key = UsedFor, Value = FileUpload.
- Uploaded a file named config.json to the root of the bucket.
- Created a folder named assets/ within the bucket.
- Ensured public read access for the config.json file.
Outcome & learning
- All test cases passed with 100% success.
- Strengthened understanding of S3 versioning, tagging, and secure file accessibility in the cloud.
- Continued building hands-on AWS storage expertise.
EBS gp2 Volume
Created a new SSD (gp2) EBS volume.
Technical steps & learning outcomes
Implementation details
- Created a new SSD (gp2) EBS volume.
- Configured the volume size to 8 GiB.
- Set the volume type explicitly as gp2.
- Disabled KMS encryption to ensure the volume is not encrypted.
- Added a tag with Key = ebs and Value = encryption_disabled.
Outcome & learning
- All test cases passed with 100% success.
- Enhanced understanding of block storage, volume encryption, and tagging strategies in AWS.
- Built practical exposure to AWS storage configuration.
S3 Static Website — index.html
Created an S3 bucket named coder in the us-west-2 region.
Technical steps & learning outcomes
Implementation details
- Created an S3 bucket named coder in the us-west-2 region.
- Added a tag: Key = UsedFor, Value = StaticWebsite.
- Uploaded index.html to the root and created a folder named image/, then uploaded image1.jpg.
- Enabled public read access for the index.html file.
Outcome & learning
- All test cases passed.
- Enhanced skills in S3 static website hosting and AWS storage services.
S3 Static Website — home.html
Created an S3 bucket named coder<Your AWS Account ID> in the us-west-2 region.
Technical steps & learning outcomes
Implementation details
- Created an S3 bucket named coder<Your AWS Account ID> in the us-west-2 region.
- Enabled bucket versioning.
- Uploaded home.html to the root directory.
- Created an assets/ folder and uploaded banner.jpg.
- Enabled public read access for the website files.
- Activated Static Website Hosting and set the index document to home.html.
Outcome & learning
- Learned how to deploy and manage a static website using AWS S3.
- Gained hands-on experience in bucket versioning, access control, and hosting setup.
- Understood how S3 can serve as a cost-effective web hosting solution.
EFS Lifecycle & CloudWatch Alarm
Confirmed the creation of the EFS named dev-efs.
Technical steps & learning outcomes
Implementation details
- Confirmed the creation of the EFS named dev-efs.
- Verified that the lifecycle policy transitions files to Infrequent Access (IA) storage after 30 days.
- Checked that a CloudWatch alarm named efs-alarm was created.
- Ensured the alarm had a tag with key = efs and value = alarm.
Outcome & learning
- Gained hands-on experience in EFS lifecycle management and optimisation.
- Learned how to monitor storage health using CloudWatch alarms.
- Strengthened skills in automated monitoring and resource tagging in AWS.
04 / Identity, Data & Monitoring
Identity, Data & Monitoring
IAM, Lambda, RDS MySQL, DynamoDB Streams and CloudWatch alarms.
Lambda Function, Version & Alias
Created a Lambda function named practice_lambda in the us-east-2 region.
Technical steps & learning outcomes
Implementation details
- Created a Lambda function named practice_lambda in the us-east-2 region.
- Set the runtime to Python 3.9.
- Configured memory size to 128 MB and timeout to 60 seconds.
- Published the function's latest version.
- Created an alias named user_alias pointing to the latest version.
- Applied a Lambda function tag with key and value as String.
Outcome & learning
- All test cases passed with 100% success.
- Enhanced skills in serverless architecture, function versioning, and alias management using AWS Lambda.
IAM Group & User
Created an IAM Group named Network-L1-Team.
Technical steps & learning outcomes
Implementation details
- Created an IAM Group named Network-L1-Team.
- Attached the policies AmazonVPCReadOnlyAccess and AWSNetworkManagerReadOnlyAccess.
- Created an IAM User named Network-L1-User1.
- Added the user to the Network-L1-Team group.
Outcome & learning
- All test cases passed with 100% success.
- Gained practical experience in secure group management, policy attachment, and user-role assignments.
- Practised secure access management in AWS.
RDS MySQL Instance
Created a DB instance with the identifier mysqlinstance1.
Technical steps & learning outcomes
Implementation details
- Created a DB instance with the identifier mysqlinstance1.
- Selected the MySQL engine.
- Configured the instance type as db.t3.micro.
- Allocated 34 GB of storage.
- Launched the RDS instance with the appropriate settings.
Outcome & learning
- Learned how to set up a fully managed relational database in AWS.
- Gained an understanding of scaling options, storage allocation, and instance configuration.
- Acquired practical experience in RDS deployment and management.
- Strengthened skills for real-world cloud database administration.
DynamoDB Table & Streams
Navigated to the DynamoDB service in AWS Management Console.
Technical steps & learning outcomes
Implementation details
- Navigated to the DynamoDB service in AWS Management Console.
- Created a table named book.
- Set Partition Key as author and Sort Key as bookName.
- Enabled Streams with the New image option.
- Deployed the table in the us-east-2 (Ohio) region.
Outcome & learning
- Learned how to create and configure DynamoDB tables for structured data storage.
- Understood stream-enabled tables for real-time change tracking.
- Strengthened NoSQL database management and AWS DynamoDB configuration skills.
CloudWatch EC2 CPU Alarm
Accessed AWS CloudWatch in the us-west-2 (Oregon) region.
Technical steps & learning outcomes
Implementation details
- Accessed AWS CloudWatch in the us-west-2 (Oregon) region.
- Selected the EC2 metric CPUUtilization for real-time monitoring.
- Set a Static threshold for CPU ≥ 80%.
- Defined a 5-minute period for accurate performance tracking.
- Named the alarm EC2CPUUtilizationMonitor and validated its active status.
Outcome & learning
- Gained hands-on experience in creating and managing CloudWatch alarms.
- Understood how to monitor EC2 health metrics effectively.
- Learned proactive alerting techniques for maintaining system performance.
IAM User & Read-Only Access
Created a new IAM user named ActingUser.
Technical steps & learning outcomes
Implementation details
- Created a new IAM user named ActingUser.
- Assigned a tag with Key = Dynamo and Value = vpc.
- Attached the AmazonDynamoDBReadOnlyAccess policy for database monitoring.
- Attached the AmazonVPCReadOnlyAccess policy for network visibility.
- Verified user permissions to ensure adherence to the least-privilege principle.
Outcome & learning
- Gained an understanding of the IAM user creation and policy attachment process.
- Practised the principle of least privilege to secure access.
- Acquired practical experience in AWS Identity and Access Management.
05 / Toolkit
Built on Fundamentals.
Powered by Continuous Learning.
A practical toolkit across programming, software development, AI/ML and cloud technologies.
01 / Programming & DSA
C++CPythonSQL FundamentalsData StructuresAlgorithmsProblem SolvingSearchingSortingOOP
02 / Development
FlaskHTMLCSSJavaScript FundamentalsWeb Applications
03 / Tools & Workflow
GitGitHubVS CodeDebuggingTestingInput ValidationCode OptimizationDocumentation
04 / AI & Machine Learning
Machine LearningScikit-learnData PreprocessingFeature EngineeringModel EvaluationGenerative AI Fundamentals
05 / AWS & Cloud Computing
AWSVPCVPC PeeringRoute Tables & RoutingCIDR & IP AddressingPublic & Private SubnetsSecurity GroupsNetwork ACLsEC2SSH & ICMP TestingIAMElastic Load BalancingAuto ScalingS3EBSEFSLambdaRDSDynamoDBRoute 53CloudWatch
06 / Internship Certificates
Milestones & Credentials
Internship milestones with adjusted previews and direct links to the original certificate documents.
2025 · 6 weeks
Artificial Intelligence & Machine Learning
Edunet Foundation · AICTE · IBM SkillsBuild
View certificate ↗
07 / Additional Certifications
Foundation &
Future
The wider collection of verified learning certificates across AWS, AI, cloud, programming and professional skills. Select any preview to open the original certificate or evidence file.
2025 · AWS Training and Certification
Fundamentals of Machine Learning and Artificial Intelligence
View certificate ↗
08 / Academic Honors
Academic Honors
& Scholarships
Recognition supporting my continued academic progress and professional development.
Merit-based scholarship
Yuva Unstoppable Merit Scholarship
Selected for a multi-year partial engineering scholarship, successfully renewed each year based on academic grade retention.