Software Engineer / Data Scientist with experience building scalable backend systems, production ML pipelines, and LLM-powered applications.
- Languages: Python, Go, JavaScript, TypeScript
- Frameworks: Django, FastAPI, Flask, Node.js
- Databases: PostgreSQL, MySQL, Firebase
- Async & Messaging: Celery, RabbitMQ, SQS
- Caching: Redis
- APIs & Security: REST APIs, Authentication & Authorization
- Web & Infra: Nginx, Apache, Docker, Kubernetes
- Frameworks & Libraries: React, Next.js, React Native (Expo)
- Languages: JavaScript, TypeScript
- UI & Styling: HTML5, CSS3, Tailwind CSS, Material UI
- Data & State: REST API integration
- AWS: S3, Lambda, ECS/EKS, API Gateway, RDS, DynamoDB, SQS/SNS
- Deployments & Scaling: CI/CD, containerized deployments, autoscaling
- Monitoring & Reliability: Sentry, New Relic, Grafana, Loguru
- GCP: BigQuery, Cloud Functions (working knowledge)
- Data Processing: Pandas, NumPy, SQL
- Analytics & Forecasting: statsmodels, Prophet
- Dashboards & Reporting: Power BI
- ML Frameworks: scikit-learn, TensorFlow, PyTorch
- NLP & Document AI: spaCy, NER, layout-aware models
- LLMs & GenAI: LangChain, HuggingFace Transformers, BERT; prompt engineering, retrieval-augmented generation (RAG)
- ML Systems: model deployment, low-latency inference, batch & real-time pipelines
- MLOps: MLflow, Databricks, experiment tracking, model evaluation
- Computer Science: Data Structures & Algorithms, OOP, Functional Programming
- Architecture: Database design, System Design, Design Patterns, SOLID Principles



