I’m a curious and driven engineer with strong interests in Artificial Intelligence, DevOps, Backend & Full-Stack Development, and High Performance Computing. I enjoy building systems end-to-end while deeply understanding why they work the way they do.
- Artificial Intelligence & Machine Learning
- DevOps & Cloud Infrastructure
- Backend & Full-Stack Systems
- High Performance & Low-Level Computing
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Artificial Intelligence
- Deep Learning
- Reinforcement Learning
- MLops
- Modern LLM architectures and tooling
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DevOps & Cloud
- CI/CD pipelines (GitHub Actions, Jenkins, CircleCI)
- Containerization (Docker, Kubernetes)
- AWS services and infrastructure management
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Backend & Full Stack
- MERN Stack
- Spring Boot with Next.js
- Golang for backend systems(gRPC and Gin) and API Gateway(Go-Kit)
- Django with Next.js
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High Performance Computing
- CUDA Programming
- Computer Architecture
- Performance optimization and low-level system design
I actively build side projects while focusing on understanding the underlying theory behind modern systems. My goal is to strengthen core computer science fundamentals while applying them to real-world, scalable architectures.
I’m always open to collaborating on meaningful projects and applying my skills in industry-grade systems and research-driven environments.
- Python
- PyTorch
- TensorFlow
- NumPy / Pandas
- Scikit-Learn
- MLflow
- Apache Airflow
- DVC
- LangChain
- LangGraph
- FIASS
- ChromaDB
- Deep Agent
- Skills
- Golang (Gin, Go-Kit)
- Node.js
- Express.js
- Java (Spring Boot)
- REST APIs
- gRPC
- GraphQL
- WebSocket
- FastAPI
- Django
- MongoDB
- PostgreSQL
- MySQL
- React
- Next.js
- MERN Stack
- Redis
- Apache Kafka
- RabbitMQ
- Docker
- Kubernetes
- Helm
- GitHub Actions
- Jenkins
- CircleCI
- AWS (EKS, EC2, ECR, RDS, S3, VPC, Lambda, API Gateway, ElastiCache, DynamoDB, DocumentDB, CloudFront, Bedrock)
- Terraform
- Argo CD
- Unix Pipes
- Multi-Threading
- Git & GitHub
- Linux
- Bash
- Redis
- Grafana / Prometheus / tempo
✨ Always learning, building, and refining my understanding of how modern systems work under the hood.