Open to opportunities

Aavash Baral

@aavashbaral

Message

Backend-focused software engineer building reliable APIs and LLM systems.

Nepal

Message

What I'm looking for

I’m looking to build backend services that scale—clear APIs, reliable validation, and cost-aware LLM features (RAG, routing, auth/RBAC). I want ownership across ETL and integrations, with room to grow into senior backend and AI system engineering.

I’m a backend-focused Associate Software Engineer with a Computer Engineering background, specializing in Python and API-driven systems. I’ve built FastAPI-based backend services for complex data processing and ETL workflows, including automated ingestion pipelines that cut manual processing time by 30%.

I enjoy turning real-world requirements into scalable, trustworthy products—whether it’s Retrieval-Augmented Generation pipelines with ChromaDB, structured request validation and standardized API responses, or multi-tenant LLM infrastructure with authentication, RBAC, rate limiting, and token budgeting. I also ship hands-on projects—from an offline semantic search engine (TypeScript with HNSW and vector embeddings) to a data visualization platform—because I like building systems end-to-end with measurable outcomes.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Leapfrog Technology

Mar 2026 - Present (2 months)

Developed FastAPI backend services using Python with asynchronous endpoints for complex US healthcare data processing. Built automated ETL pipelines in Python and SQL that reduced manual processing time by 30%, and collaborated on version-controlled scripts to map, validate, and transform datasets into warehouse-ready formats.

fastAPI Python ETL SQL Data Mapping Data Validation

Associate Software Engineer

Sero Finance

Dec 2024 - Jan 2026 (1 year 1 month)

Developed FastAPI backend services powering a platform where users create custom chatbots and automate workflows. Designed REST APIs for chatbot configuration, document ingestion, and Google Forms integration with PostgreSQL, implemented RAG pipelines using ChromaDB, and improved reliability with structured request validation, error handling, and standardized API responses.

fastAPI Python REST APIs PostgreSQL RAG ChromaDB Google Forms Integration Error Handling