Farhan Munir
Sr. Full Stack Dev | Python, NextJS, AWS, GCP, AI, LLM, GPT
New to Contra
Farhan is ready for their next project!
I've been working on Reel-Quick, an open-source project that simplifies one of the most time-consuming parts of short-form content creation—research. The new AI-powered Content Wizard analyzes trends, recommends hooks and video structures, discovers royalty-free stock footage and matching audio, and returns structured JSON that powers the application workflow. The goal is simple: spend less time searching and more time creating.
đź”— GitHub: https://github.com/ronin1770/reel-quick
(https://github.com/ronin1770/reel-quick)đź“– Read the full article: https://dev.to/munirfarhan/build-viral-instagram-reels-faster-with-the-reel-quick-content-wizard-512h
#OpenSource #AI #ContentCreators #CreatorTools #Automation #GitHub #Python #ProductDevelopment
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Building an agentic HR meeting assistant starts with a trusted foundation. In Part 1, we explore how Google Cloud services such as Cloud Run, Cloud Storage, Speech-to-Text V2, Firestore, IAM, and Cloud Logging can support secure transcription, human review, and governed HR workflows.
The focus is not just transcription, but privacy, consent, retention, access control, auditability, and keeping people accountable for employment decisions.
https://famro-llc.com/blogs/building-an-agentic-hr-meeting-assistant-on-google-cloud-part-1.html
#GoogleCloud #HRTech #AgenticAI #SpeechToText #CloudArchitecture #AIGovernance #CloudRun #HRAutomation
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Just published a new feature proposal for Reel Quick: Configurable FFmpeg Video Transition Duration. The update introduces a transition duration slider (0–4 seconds in 0.5-second increments), requiring coordinated frontend and backend changes to give creators finer control over scene transitions and improve the overall editing experience.
Feedback and contributions are welcome!
🚀 https://github.com/ronin1770/reel-quick/issues/13
#OpenSource #FFmpeg #VideoEditing #Python #React #Frontend #Backend #GitHub
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Implementing exponential backoff is only part of building a resilient telemetry agent. In the latest Heka Insights Agent article, I walk through how to correctly handle HTTP 429 Too Many Requests responses using the Retry-After header. The post explains why respecting server-side rate limits is essential for reliable observability pipelines and demonstrates a production-ready Python implementation that avoids unnecessary retries while reducing load on the ingestion service.
đź“– Read the full article: https://dev.to/munirfarhan/implementing-http-429-retry-after-handling-in-heka-insights-agent-5d30
#Python #OpenTelemetry #Observability #DevOps #Backend #FastAPI #SRE #DistributedSystems #CloudComputing #HekaInsights
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Building AI systems for HR is high stakes. Our latest article shows you how to design an HR meeting assistant on Google Cloud that uses Gemini to extract achievements, goals, and action items—while keeping humans in control. The architecture: approved transcript → Gemini extracts structured data → your application validates → humans review & approve → only then enters HR systems. We cover schema design, evidence validation, review UI patterns, and the governance principles that separate trustworthy AI from risky automation. No performance ratings. No hallucinations. No black boxes.
Read the full guide with code examples and design patterns:
https://famro-llc.com/blogs/building-an-agentic-hr-meeting-assistant-on-google-cloud-part-2.html
#AIGovernance #VertexAI #HRTech #GoogleCloud #EnterpriseAI #HumanInTheLoop
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At Canxsee, I was primarily responsible for developing and maintaining backend APIs using FastAPI, ensuring reliable and scalable service delivery. I improved the platform’s data storage architecture to enhance performance and efficiency, strengthened the underlying infrastructure for better stability and scalability, and updated technical documentation to support maintainability and team collaboration. I also served as a technical leader, guiding engineering decisions and supporting the development team in delivering high-quality solutions.
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At Prospexus.ai (http://Prospexus.ai), I supported the Auto Leads prospecting initiative by delivering full-stack integration—building frontend workflows in Next.js, integrating backend services using Python FastAPI, and deploying cloud infrastructure on AWS for reliable operations. I also produced technical documentation covering architecture, APIs, deployment steps, and runbooks to ensure smooth handover and maintainability.
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I led the migration of a high-traffic (1M+ users) website from Rackspace to AWS, moving the full stack—including the application, database, user data, and DNS—while ensuring service continuity and minimal downtime. I designed and implemented an autoscaling AWS architecture to improve reliability and performance, delivered cost-optimization initiatives to reduce ongoing cloud spend, and successfully migrated the email database to complete the platform transition.
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For FlowTrack Development, I led end-to-end engineering delivery by driving backend development, integrating the frontend with reliable APIs, and setting up DevOps infrastructure on AWS—including automated CI/CD pipelines for consistent builds and deployments. I also created and maintained clear, structured documentation across the codebase, architecture, and deployment workflows to support smooth onboarding, predictable releases, and long-term maintainability.
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