Hello, I'm Ojas
Software Engineer
I have 5+ years of experience building scalable, distributed systems and applied AI solutions in fast-paced Agile environments. Proven track record developing microservices, full-stack applications, and RAG/agentic AI pipelines using Java, Kotlin, Python, Spring Boot, React, Kafka, Elasticsearch, SQL, and NoSQL databases, plus LangChain, MCP servers, and LLM fine-tuning. Skilled in designing secure REST APIs, real-time data pipelines, and observability with OpenTelemetry and Prometheus. Hands-on with CI/CD, Docker, Kubernetes, and AWS deployments. Passionate about clean code and delivering reliable, production-grade software at scale.
Professional Experience
Full-Time:
Internships:
Certifications
Publications
About Me
Get to know me better, my journey, and what drives me
My Journey
I kicked off my tech journey with a Bachelor's in Computer Engineering from COEP, with an internship at Mastercard, then dove into the industry with roles at IDeaS Revenue Solutions , and Amdocs, where I built everything from distributed backend systems to full-stack applications. Wanting to deepen my expertise, I pursued a Master's in Computer Science at San Jose State University, graduating with a 4.0 GPA. Most recently, I interned at Foundry Digital, working on full-stack tools in the crypto infrastructure space. Today, I work as an AI Software Engineer at San Jose State University, building RAG and agentic AI pipelines and the production infrastructure to serve them. Along the way, I've picked up a love for clean architecture, real-time systems, and learning whatever new tech the job throws at me.
Highest Education
M.S. in Computer Science
Location
San Jose, CA
Experience
5+ Years
Passion
Creative Problem Solving
My Skills
Languages
Frameworks & Libraries
Cloud & DevOps
Database Technologies
Featured Projects
A selection of my recent work and personal projects
Spartan MyCompanion
- Developed a full-stack student event networking portal hosted on AWS Amplify, supporting 500+ concurrent users, with automated testing and deployment via GitHub Actions.
- Integrated AWS API Gateway, Lambda and DynamoDB sink for functionalities like event posting, replies, and voting, with real-time chat rooms using WebSocket API and event notifications using fanout with AWS SNS.
- Introduced infrastructure as code with AWS CloudFormation and JSON templates for automated deployment.
5G Handover Prediction System
- Engineered a machine learning pipeline using TensorFlow, Scikit-learn, Pandas, and NumPy to process 103K+ 5G network samples.
- Deployed an LSTM signal predictor and a CNN-BiLSTM hybrid classifier to predict cellular handover trigger events.
- Resolved a 47:1 class imbalance using Temporal SMOTE with 50-timestep sliding windows, achieving 98.37% prediction accuracy.
Let's Work Together
Have a project in mind or want to collaborate? I'd love to hear from you!