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Bilal S
@bilal_dev_speed
Fullstack software engineer
Pakistan
Englisch, Urdu
Über mich
I am a full-stack software engineer with 5+ years of experience building and scaling production systems. I specialize in Python/Django backend architecture, distributed systems, and AI/ML integration. I have a proven track record of optimizing high-traffic APIs and delivering reliable multi-tenant SaaS platforms.
Kompetenzen
Bilal S
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Fehlerbehebung und Verbesserungen
I will run a security audit on your supabase or ai built app before launch
DevOps-Engineering
I will deploy and make your ai built web app production ready
Portfolio
Arbeitserfahrung
Software Engineer
darkTunes • Teilzeit
Jun 2025 - Present • 1 yr 3 mos
• Owned Django/DRF backend processing 1M+ monthly API requests; reduced p95 latency from 900ms to 220ms through query optimization, caching, and connection pooling. • Re-architected real-time WebSocket infrastructure (Django Channels + Daphne) serving 20K concurrent connections, cutting response time from ˜5,000ms to ˜100ms (96% improvement). • Designed fault-tolerant Celery worker pipelines processing 100K+ background jobs with dead-letter queuing, retry logic, and admin observability. • Shipped React admin dashboards, automated 8 critical test flows with Playwright, and integrated AI-assisted workflows using Claude, Cursor, and GitHub Copilot.
Software Engineer
Aura • Vollzeit
Jul 2024 - Jun 2025 • 11 mos
• Built and maintained multi-tenant SaaS (Django, React) for 25+ enterprise clients with zero cross-tenant data incidents via strict schema isolation. • Reduced API query time by 40% through N+1 elimination, indexing, and query batching; cut CI/CD deployment time from 25 min to 7 min. • Implemented Pinecone + OpenAI RAG pipeline for document intelligence, saving 30+ analyst hours per month. • Maintained production incident response and on-call ownership across backend and infrastructure.
Python Engineer
LabMinds • Vollzeit
Apr 2021 - May 2024 • 3 yrs 1 mo
96% WebSocket latency reduction- Re-architected Django Channels pipeline from ˜5,000ms to ˜100ms under high concurrency. • 72-hour production recovery- Reverse-engineered a deprecated vendor WebSocket protocol and shipped a replacement Python client in under 3 days. • Critical security finding- Identified and resolved a Django RCE vulnerability saving a startup from significant production risk. • Vendor dependency removal- Built a Python-native DOCX-to-HTML converter with custom CSS injection, OCR support, and pixel-accurate output, eliminating a costly .NET dependency. • Zero cross-tenant incidents- Maintained multi-tenant data isolation across 25+ clients with schema-level permission boundaries.
