🎓 Master's in Computer Science @ University of Akron (May 2025)
📍 San Francisco, CA | Open to Remote & Relocation
💻 Software Engineer | ML/AI Enthusiast | DevOps Practitioner
📫 [email protected] | LinkedIn | GitHub

I’m a builder at heart with a strong passion for software engineering, AI/ML, and DevOps. I thrive in environments where I can work across the stack, optimize systems, and automate workflows — all while building meaningful tech that scales.

• 🧑‍💻 Software Engineering: API development, full-stack systems, microservices
• 🤖 Machine Learning & AI: LLMs, NLP, prompt engineering, model serving
• 🔁 DevOps & MLOps: CI/CD, cloud infrastructure, ML pipelines, observability

• Languages: Python, Java, JavaScript (React/Node), TypeScript, C, C++, SQL
• Frameworks: Flask, FastAPI, Django, Express.js
• Frontend: ReactJS, HTML5, CSS3, REST APIs, WebSockets, UI Component Design
• Testing: PyTest, JUnit, Postman, Cypress, Unit & Integration Testing
• Architecture & Patterns: MVC, OOP, TDD, Clean Code, Agile/Scrum, Design Patterns

• ML Libraries: TensorFlow, PyTorch, scikit-learn, spaCy, NLTK
• LLM Tools: LangChain, LlamaIndex, Hugging Face Transformers, Prompt Engineering, Fine-Tuning, RLHF
• Use Cases: Classification, Vector Search, Resume Screening, Embedding Models, RAG
• Model Deployment: TensorFlow Serving, Triton Inference Server, ONNX, TorchServe
• Experiment Tracking: MLflow, Weights & Biases

• CI/CD Tools: GitHub Actions, CircleCI, Jenkins
• Containerization & Orchestration: Docker, Kubernetes (basic), Docker Compose
• Infra as Code: Terraform (GCP), Make, CMake
• Monitoring & Observability: Prometheus, Grafana, PowerBI, Telemetry Logging
• Pipeline Orchestration: Apache Airflow, Prefect
• Version Control: Git, GitHub, GitLab

• GCP: Cloud Functions, Cloud Run, Compute Engine, Vertex AI
• AWS: EC2, S3, Lambda, SageMaker, DynamoDB
• Databases: PostgreSQL, MySQL, SQLite, MongoDB, Firebase (basic)

📄 Source Code Built a GPT-4 assistant using LangChain + FAISS + Cloud Functions.
Added prompt tuning + RL to improve contextual accuracy and deploy it as a low-latency microservice.

🚀 Live Demo | 📄 Source Code Used TensorFlow + spaCy to classify resumes and extract structured profiles.
Fully automated via Python APIs, CI/CD pipelines, and containerized deployment.

Automated data ingestion and transformation with Docker + CircleCI.
Used config-driven modules and PowerBI for monitoring.

Django + WebSockets + GCP Cloud Run app with live doc editing and telemetry logging.
Included accessibility-first UI and GitHub Actions for auto-deployments.

M.S. in Computer Science, University of Akron – May 2025
B.Tech in CSE, GITAM University – Apr 2023

Microsoft-Python Development

AWS-Cloud Support Associate Specialization

I like to connect the dots between AI, backend systems, and automation — and I enjoy shipping code that actually gets used.

📧 [email protected]
🔗 LinkedIn
🐙 GitHub