Reliable Python services beyond the request-response path
Software Engineer (Backend)
My backend story combines commercial delivery with systems-focused portfolio work. At Heagl Technologies, I shipped five features across two production Django codebases and resolved 15+ bugs; the in-progress AI gateway extends that practice into typed APIs, distributed workers, persistence, traffic controls, and provider resilience.
Why this direction fits
I approach backend engineering through clear contracts and failure modes: validate early, move expensive work off the request path, persist what matters, and use senior review and operational evidence to improve the system.
Current evidence
Junior Software Developer internship at Heagl Technologies, BCA in Information Technology, five shipped production features, 15+ resolved bugs, and three relevant in-progress systems.
01 / CAPABILITY MAP
How I would contribute
Service design
Typed FastAPI endpoints, Pydantic validation, relational persistence, and migration-aware data access.
Async execution
Celery workers and Redis queues that separate long-running jobs from web requests.
Resilience
Token-bucket limits, semantic deduplication, provider fallback, and bounded failure handling.
Delivery
Pytest targets, GitHub Actions, container builds, usage records, and latency telemetry.
02 / VERIFIED SKILLS
Role-aligned toolkit
- Python 3.13
- FastAPI
- Celery
- Redis
- PostgreSQL
- SQLAlchemy
- Alembic
- Pydantic v2
- LiteLLM
- GitHub Actions
03 / SELECTED WORK
Evidence for this role
High-Throughput Asynchronous AI Gateway & Task Engine
An asynchronous gateway with distributed tasks, provider fallback, token-bucket limits, deduplication, and auditable usage.
- Target: 250+ concurrent requests
- Target: sub-50ms queue latency · >80% coverage
Self-Healing BI & SQL Analytics Agent
A read-only analytics agent that inspects schemas, generates and validates SQL, self-corrects failures, and creates reviewed insights.
- Target: self-correction within three retries
- Safety: read-only execution · human review
Enterprise Multi-Agent Knowledge & Research Assistant
A cyclical Planner, Retriever, and Fact-Checker workflow combining hybrid and vectorless RAG with enterprise guardrails.
- Target: 34% lower context hallucination
- Evaluate: faithfulness · relevancy · recall
04 / TAILORED RESUME
Resume for this role
Software Engineer (Backend)
This version will foreground the experience and project evidence most relevant to this hiring path.
- —Commercial Django delivery across two production codebases
- —Traffic controls, persistence, and provider resilience
- —Testing, CI, containers, and operational telemetry