Muhammad Farjad
@muhammadfarjad
Tech lead building Go microservices and Vue admin platforms for high-throughput call-routing systems.
What I'm looking for
I’m a tech lead shipping production microservices in Go and Vue 3 + TypeScript, with strong ownership of architecture and reliability. I built and own a Redis-only Go call-routing service that handles 10,000+ calls/sec with P99 under 50ms.
I design event-driven systems end-to-end—Kafka event bus contracts, Redis keys and topics shared via JSON Schema, and multi-tenant controls with route-level RBAC. I’ve also engineered the telephony pipeline around Kamailio + FreeSWITCH fleets and split persistence across PostgreSQL config and TimescaleDB time-series.
On the product side, I deliver operational tooling like Vue 3 admin dashboards with SSE live call state and a Vue Flow editor with custom IVR nodes. I bring a performance-first, measurable mindset from infrastructure improvements to observability and cost reduction.
Experience
Work history, roles, and key accomplishments
Tech Lead
SageTeck
Jan 2026 - Present (5 months)
Built and owned the Go dial-plan routing microservice, stateless on a Redis-only hot path, handling 10,000+ calls/sec with P99 under 50ms. Implemented FreeSWITCH-to-Kafka event streaming, cross-service JSON-schema contracts, and a Vue 3 admin platform with SSE live dashboards and route-level RBAC.
Polyglot Software Engineer
Cowlar Design Studio
Sep 2025 - Dec 2025 (3 months)
Owned AWS infrastructure across Amplify, serverless ECS, EC2, RDS, ECR, and MQTT brokers, improving production reliability by 40%. Optimized MySQL/RDS (CPU 70%→20%, 3x query performance), rebuilt Datadog observability (monitoring spend $8K→$1K/month), and shipped real-time optical-fiber monitoring (MTTD +52%, downtime -31%).
AI Engineer II
SageTeck
Aug 2024 - Sep 2025 (1 year 1 month)
Built TalkerCRM, a multi-tenant conversational AI platform with per-business isolation, RBAC, and per-message token tracking, using LangGraph routing across seven specialist nodes. Optimized ETL on a 600+ GB PostgreSQL database (batch time -45%, storage -30%) and reduced LLM token usage 40%+ and per-turn cost a further 60%+ via Gemini context caching.
Built a Python framework to automatically convert Teradata SQL into Teradata ML Python scripts, reducing manual conversion time by 90%.
Education
Degrees, certifications, and relevant coursework
Muhammad hasn't added their education
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Tech stack
Software and tools used professionally
Availability
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