Full-Stack + AI Systems Engineer
Building production-ready AI systems: LLM applications, RAG pipelines, and intelligent workflows that solve real problems at scale.
2+ years shipping full-stack systems | 1.5+ years focused on production AI
AI-First Systems
- LLM-powered applications & AI assistants (OpenAI, Anthropic, Hugging Face)
- Retrieval-Augmented Generation (RAG) with semantic search and vector databases
- End-to-end intelligent workflows: data β retrieval β inference β user interface
- Clean, maintainable production APIs (FastAPI, Python)
Full-Stack Engineering
- Scalable backend systems (Node.js, Python, Spring Boot, microservices)
- User-centric frontends (React, Next.js, TypeScript)
- Cloud infrastructure & DevOps (AWS, Docker, Kubernetes, CI/CD)
- Database design and optimization (PostgreSQL, MongoDB, Redis)
Master of Science in Information Systems
Northeastern University, Boston, MA (Sep 2022 β Apr 2024)
Open to full-time Full-Stack or AI Engineering roles. Iβd love to connect if my experience aligns with your team.
π§ Email: akhiltalashi.dev@gmail.com
πΌ LinkedIn: linkedin.com/in/akhil-talashi
π Portfolio: akhiltalashi.dev
π
Schedule 30-min call: calendly.com/95akhiltalashi/30min
Response time: Typically within 24 hours.

