Passionate Software Engineer specializing in AI Systems and Large Language Models (LLMs), with a strong foundation in full-stack development and cloud infrastructure. Currently building cutting-edge AI-powered applications and contributing to real-world ML systems.
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π AI Systems & LLM Engineering Intern Working on AIArchives, a platform for capturing, analyzing, and evaluating AI conversations:
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π Graduate Research Assistant @ Georgia State University
π August 2024 - Present | π Atlanta, GA
- Conducting research in AI/ML and software engineering
- Contributing to academic projects and publications
π» Software Development Engineer @ DXC Technology
π June 2022 - July 2024
- π Champ Award Winner - Recognized for outstanding performance
- Delivered enterprise-level solutions using Java, Spring Boot, and cloud technologies
- Led full-stack development projects with cross-functional teams
π€ AI/ML & LLMs
Machine Learning GenAI Agentic AI LLMs (Mistral-7B, Llama, OpenAI) Hugging Face LoRA LangChain LangGraph RAG Prompt Engineering
βοΈ Backend Development
Java: Spring (Core, Boot, MVC, Data JPA, JDBC, Streams, Security, AOP, AI)
Node.js: Next.js Β· Express.js Β· Nest.js Β· RxJS Β· TypeORM
Python: FastAPI Β· Django Β· Flask
Libraries: Pandas Β· NumPy Β· Scikit-learn Β· REST APIs Β· Kafka/MQTT Β· AsyncIO
βοΈ Cloud Platforms
AWS: IAM Β· CDK Β· Lambda Β· S3 Β· EC2 Β· SQS Β· DynamoDB Β· RDBMS
Azure: Active Directory Β· App Service Β· VMs Β· Azure DevOps
β Testing & Quality
JUnit Mockito PowerMock Jest.js
π¬ MLOps
MLflow Kubeflow Airflow Model Monitoring Data Versioning
| Title | Conference | Link |
|---|---|---|
| Brain Stroke Prediction using Machine Learning | IEEE | View Paper |
| Vision-Based Driver Drowsiness Detection System | IEEE | View Paper |