name: Sreesanth R
role: Software Engineer
location: India
focus:
- AI systems
- backend engineering
- cloud-native workflows
currently_building:
- retrieval and orchestration systems
- event-driven applications on AWS
- full-stack products with strong backend architecture
looking_for:
- software engineering internships
- backend engineering roles
- AI engineering rolesI build systems where APIs, data, models, and deployment meet. Most of my projects live at the intersection of backend services, AI-enabled workflows, and cloud infrastructure, with a strong preference for clean interfaces, explicit failure handling, and software that stays understandable as it grows.
input -> request, event, or user workflow
service layer -> API contracts, auth, validation, orchestration
data layer -> SQL, vector search, document stores, queues
intelligence -> retrieval, ranking, reasoning, prediction
output -> decisions, automations, recommendations, dashboards
flowchart LR
A["User or system signal"] --> B["API or ingestion layer"]
B --> C["State, queues, and storage"]
C --> D["ML or LLM reasoning"]
D --> E["Workflow, decision, or insight"]
E --> F["Observable deployed product"]
AWS Lambda API Gateway SQS DynamoDB Bedrock Terraform
Event-driven grievance workflow platform built around secure intake, asynchronous processing, and AI-assisted resolution pipelines on AWS.
FastAPI Streamlit FAISS SQLAlchemy Ollama Docker
AI engineering workspace for retrieval, evaluation, privacy-aware workflows, and local LLM-backed experimentation with deployment-friendly structure.
FastAPI React Firebase PostgreSQL pgvector Groq
Career-learning platform that combines application services, semantic resource discovery, and personalized workflow design across frontend and backend layers.
PyTorch LangGraph Ollama PostgreSQL Docker
Scientific optimization system combining physics-informed modeling, constrained search, and agentic orchestration for additive manufacturing experimentation.
| Layer | Tools |
|---|---|
| Languages | Python, TypeScript, JavaScript, Java, C, C++ |
| Backend | FastAPI, Node.js, REST APIs, auth, async workflows, service design |
| Data | PostgreSQL, pgvector, DynamoDB, Firebase, SQLAlchemy, FAISS |
| AI and ML | LangGraph, Ollama, PyTorch, TensorFlow, scikit-learn, RAG |
| Cloud and DevOps | AWS Lambda, API Gateway, SQS, S3, Terraform, Docker, GitHub Actions, Linux |
| Product | React, Next.js, Streamlit, Vite |
const engineeringPrinciples = [
"Design data flow before interface polish",
"Keep failure paths explicit and observable",
"Use AI where it improves decisions, not just demos",
"Treat deployment and security as product features"
];Open to software engineering, backend, AI engineering, and platform opportunities.


