Hello! I’m Bhavesh Naidu Kulluru — a creator, builder, and passionate technologist who thrives at the intersection of software, systems, and strategy. I bring ideas to life, whether through game engines, machine learning models, or full-stack architectures.

What drives me isn’t just building things — it's building the right things with elegance, scalability, and soul. I've had the privilege of working across industries from health tech and AI to gaming and data platforms — solving real-world problems and continuously expanding my technical landscape.

Whether it's designing cloud-native systems, building AI tools that make a difference, or developing immersive digital worlds, I'm always chasing the next big idea.

Programming Languages

Java, Python, C++, C, JavaScript, Kotlin, R, Solidity, Cypher, SQL, HTML5, CSS3, XML, JSON, Shell Scripting, Bash, PowerShell, TypeScript, Dart, Swift, Go, Rust

Web & App Development

React, Node.js, Next.js, Express.js, Bootstrap, Tailwind CSS, SASS, JSP, WordPress, Flask, Django, Laravel, Angular, Vue.js, Flutter, React Native, Xamarin, iOS, Android

Cloud Platforms & DevOps

AWS (EC2, Lambda, S3, IAM, RDS, CloudWatch, SQS), Google Cloud Platform (GCE, GKE, BigQuery, Cloud Storage), Microsoft Azure, Heroku, Docker, Kubernetes, Terraform, CloudFormation, Jenkins, GitHub Actions, GitLab CI/CD

Database & Storage

MySQL, PostgreSQL, MongoDB, Oracle, Redis, Neo4j, Firebase, DynamoDB, XAMPP, SQLite, Cassandra, MariaDB, Amazon Aurora, Elasticsearch

Architecture & API

Microservices, Monolithic Architecture, MVC, Singleton, RESTful APIs, GraphQL, SOAP, WebSockets, OAuth, JWT, gRPC, Thrift, API Gateway

AI & Machine Learning

TensorFlow, PyTorch, Keras, Scikit-Learn, XGBoost, OpenCV, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebooks, Computer Vision, NLP, Deep Learning, Reinforcement Learning, Supervised/Unsupervised Learning, Feature Engineering, Model Tuning

Game Development & Simulation

Unity Engine, Unreal Engine, Visual Studio, Blender, Shader Programming, Game Loops, Game Physics, AR/VR, 3D Modeling

Security & Networking

Firewall, VPN, SSL/TLS, Encryption, IDS, IPS, Ethical Hacking, Penetration Testing, OWASP, Network Security, Risk Assessment, Kali Linux

Testing & Automation

JUnit, Mockito, TestNG, Selenium, Cypress, Appium, Postman, JMeter, Load Testing, Integration Testing, System Testing

Tools & Platforms

Git, GitHub, GitLab, Bitbucket, Docker Compose, Helm, OpenShift, VMware, VirtualBox, Vagrant, Linux CLI Tools (awk, grep), Jira, Confluence, Trello, Asana, Slack, Zoom, Basecamp, Monday.com, Visual Studio Code, IntelliJ, PyCharm, Eclipse, Xcode, Android Studio, Sublime Text

Business Intelligence & Analytics

Power BI, Tableau, Looker, QlikView, Google Analytics, SAP, Excel, Google Sheets

Blockchain & Web3

Ethereum, Solidity, Smart Contracts, DApps, ICO, Hyperledger, Web3.js, IPFS

Senior Software Engineer

HCL Technologies | Ford Motors Client — Troy, Michigan, USA
July 17, 2025 – Present

• Developed and maintained Java-based microservices for Ford’s FEDEBOM (Ford Engineering Design Environment BOM) system, supporting the company’s unified Single BOM Process across engineering, manufacturing, sourcing, and cost domains.
• Integrated FEDEBOM with enterprise systems like WERS, Teamcenter, GPDS, and supplier/cost modules to ensure accurate BOM data flow across the product lifecycle.
• Collaborated with cross-functional teams to deliver features for tooling, supplier linkage, cost, and part lifecycle management, improving service performance and reliability.
• Led migration of large-scale Neo4j JSON datasets from NAS to Neo4j Aura Cloud, using a parallel batch-processing pipeline executed via Google Cloud Run, optimized for scalability and automation.
• Designed and deployed Ford’s internal Graph API leveraging Neo4j Aura with SSO authentication and role-based access, ensuring secure zero-downtime operations.
• Contributed to EBOM (Engineering Bill of Materials) initiative by engineering backend features supporting cost, tooling, and supplier integration within FEDEBOM.
• Enhanced CI/CD pipelines with Jenkins & GitHub Actions, enforced SonarQube code quality, and automated infra tasks with Terraform + GCP services.
• Collaborated with Ford’s advanced analytics teams to integrate AI/ML models and Ford’s proprietary LLM for BOM anomaly detection, auto-suggestions, and process automation.
• Provided ongoing API integrations and troubleshooting support for Ford’s internal platforms (e.g., Insynch), minimizing disruptions to critical processes.

Volunteer IT Specialist & Behavioral Student Intern – IT Consultant

Child and Family Services of Saginaw — Saginaw, Michigan, USA
Volunteer IT Specialist: May 2025 – July 2025
Behavioral Student Intern – IT Consultant: Aug 2024 – May 2025

• Provided technical support for API integrations and troubleshooting issues related to their platform (Insynch).
• Led web development, migration, and API integration projects using WordPress, HTML5, CSS3, and RESTful APIs with full CRUD operations, significantly improving application performance and usability.
• Conducted API testing with Postman to validate integrations and enhance system reliability.
• Streamlined patient data management by supporting EMR systems and building Power BI dashboards for healthcare professionals.
• Reviewed tickets, executed bug fixes, and performed ongoing system maintenance to ensure continuous stability and improved performance.
• Ensured compliance with EMR standards, HIPAA regulations, and HL7 protocols by pulling and analyzing reports within Insynch.
• Collaborated with healthcare professionals to design and implement effective technical solutions for patient data management and reporting.
• Developed an AI-based standalone application using Python, PyQt5, Torch, and GPT-2.0 for automated therapy note generation, saving the organization an estimated $880k+ in costs.

Graduate Research Assistant

Saginaw Valley State University — Saginaw, Michigan, USA
Jan 2024 – Aug 2024

• Conducted research on Moving Target Defense (MTD) techniques for anomaly-based intrusion detection and prevention systems (IDPS).
• Designed sandboxed environments for safe simulation of real-world cyber-attacks and detection validation.
• Integrated Wireshark for deep packet inspection to analyze traffic and identify attack patterns.
• Implemented honeypots to capture and study malicious behaviors, creating datasets of real-time attack vectors.
• Applied behavioral monitoring (session length, access frequency, login variance, API misuse) for anomaly detection.
• Refined detection thresholds using ML algorithms, tracking false positive/negative rates to improve accuracy.
• Produced detailed weekly runtime monitoring reports and collaborated with faculty on documentation and project evolution.

Campus Dining Marketplace Student Employee

Saginaw Valley State University — University Center, Michigan, USA
Aug 2023 – Nov 2023 · Part-time, On-site

• Served as a key chef at the Mongolian Grill station, catering to diverse student populations on campus.
• Collaborated with cross-functional dining services teams, often taking up responsibilities from other units when needed.
• Strengthened communication skills by interacting daily with students from Korea, China, Japan, Africa, America, India, Bangladesh, Germany, and other countries.
• Built cultural awareness and adaptability through constant engagement with an international student community.

Associate Software Engineer

Accenture — Bangalore, India
Oct 2022 – Aug 2023

• Developed tracking software and dynamic Power BI dashboards to improve enterprise data visualization and decision-making.
• Automated workflows with advanced Excel macros, optimizing productivity for business units.
• Conducted SAP system assessments and collaborated with cross-functional teams for seamless delivery under tight deadlines.
• Delivered SAP S/4 HANA migration projects ensuring smooth data migration and system performance integrity.
• Designed and developed microservices with Spring Boot, REST, and JWT-secured APIs.
• Contributed to modernizing a legacy system into a microservice architecture using Spring Core & MVC.
• Developed Docker containers to manage application lifecycles and streamlined CI/CD workflows.
• Applied Java 8 features (streams, lambdas) for efficient data operations and service development.
• Actively participated in Agile sprints (Planning, Grooming, Standups, Retrospectives).

Software Developer

Avexa (Health Domain Startup) — India
May 2022 – Aug 2022

• Developed analytics and visualization tools using Power BI, Power Automate, MySQL, and JavaScript stack (Java, HTML, CSS, JS).
• Built distributed data pipelines with Apache Spark for ingestion, processing, and storage.
• Implemented REST and SOAP APIs to enable critical business functionalities.
• Developed applications leveraging Java, C#, .NET, XML, MongoDB, and SDK-level code modifications.
• Designed and tested application modules using JUnit, ensuring code reliability and maintainability.
• Collaborated in requirement analysis, modifications, and enhancements for client-facing features.

Data Science Industrial Trainee

PlotMyData — India
Sep 2021 – Oct 2021

• Completed an applied data science program focused on domain-specific ML solutions.
• Developed and deployed ML models for Parkinson’s disease detection, academic performance prediction, and fake news detection.
• Performed end-to-end workflows: preprocessing, feature selection, model training, and evaluation (accuracy, precision, recall, F1-score).
• Worked with mentors to fine-tune models and align outcomes with enterprise expectations.

Machine Learning & Data Science Intern

1Stop.ai — India
Jun 2021 – Sep 2021

• Completed structured internship on ML model development and deployment workflows.
• Applied Python libraries (pandas, NumPy, matplotlib, seaborn, scikit-learn) for data analysis and modeling.
• Implemented classification, regression, and clustering models with real-world datasets.
• Optimized models using data structures & algorithms for performance improvements.
• Delivered results with clear visualizations for decision-making and business insights.

HR and Operations Manager Intern

MyCaptain, India
July – August 2021

• Managed operational planning and internship coordination.

Marketing Executive Intern

MyCaptain, India
July 2021

• Engaged in digital marketing campaigns and lead generation.

Executive MBA

Manipal Academy of Higher Education, Karnataka, India
2025 – 2027

Master of Science in Computer Science and Information Systems (MSCSIS)

Saginaw Valley State University, Saginaw, USA
2023 – 2025
GPA: 3.97/4.0 | Research Assistant | Scholarship Recipient

Bachelor of Technology in Computer Science and Engineering (B.Tech)

GITAM University, Hyderabad, India
2018 – 2022
Grade: 8.75/10 | President of E-club | Founder of Esports Club

Intermediate Degree in Mathematics and Sciences

Sri Gayatri Junior College, Hyderabad, India
2016 – 2018 | Grade: 7.0/10

Secondary School Certificate

Bhashyam Educational Institutions, Hyderabad, India
2015 – 2016 | Grade: 8.8/10

Jill Hogenson — President/CEO, Child and Family Services of Saginaw

“Bhavesh interned at a nonprofit agency with 3 centers of service. He demonstrated an aptitude for understanding complex systems and provided valuable input. He worked well with staff across departments and consistently contributed to the IT field.”

Jahnnavi Preya B — Data Engineering Analyst, Accenture

“I was consistently impressed by Bhavesh's proficiency in Java, Python, and cloud platforms. His collaboration skills and domain versatility stood out. A reliable team player who delivers high-impact results.”

Dr. G. Hima Bindu — Assistant Professor, GITAM

“Bhavesh showed outstanding technical and problem-solving skills, contributing significantly to major project work. His curiosity and collaborative nature made him a favorite among students and faculty.”

Prof. Michael D. Stackhouse — Adjunct Professor, SVSU

“Bhavesh achieved a 4.0 GPA and was among the top performers in my IT Strategy course. His class participation, assistance to peers, and timely assignments were commendable.”

Prof. Aos Mulahuwaish — Assistant Professor, SVSU

“Bhavesh distinguished himself in Computer Architecture through research participation, technical depth, and intellectual curiosity. I endorse him wholeheartedly for academic and professional success.”

Prof. George P. Corser — Associate Professor, SVSU

“Bhavesh is one of the most dynamic and driven students I’ve encountered. One day, I believe he’ll drive a Lambo back to campus — not because of flash, but because of focus.”

Let's connect! Reach out to me via email or any of the platforms below.

Email: bhavesh.ricky@gmail.com