Arghyadeep Karmakar
Hi, I’m Arghyadeep Karmakar. I’m a full-stack and AI engineer who blends frontend, backend, and intelligent systems to ship scalable SaaS platforms.
About
Hi, I’m Arghyadeep Karmakar. I’m a full-stack and AI engineer who blends frontend, backend, and intelligent systems to ship scalable SaaS platforms. With 3+ years of experience, I’ve built multi-tenant applications, integrated AI features, and led end-to-end product delivery across recruitment tech, real-time trading, and e-commerce.
I thrive in Agile environments, value CI/CD and TDD, and enjoy solving hard performance and cost challenges on AWS, GCP, Azure, and Kubernetes. I’m passionate about turning complex problems into maintainable code, partnering with product and design, and helping teams ship confidently with observability and automation.
- 4 years' experience
- Joined November 2025
Languages
- EnglishFluent
- HindiAdvanced
Industry experience
- Financial Services
- Software & Internet
- Media & Entertainment
- Professional Services
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Work experience· 4 roles
Architected microservices-based fintech trading platform handling 50K+ concurrent users with React, Node.js, Python, and PostgreSQL, achieving 99.95% uptime. Optimized database queries and implemented Redis caching layer, reducing API response times by 40% and database load by 45.
Architected multi-tenant ATS platform from zero to production, covering sourcing, placement, communications, document generation/e-signing (DocuSeal), and CRM for candidates, clients, and prospects. Built an n8n-style visual automation engine with 30+ configurable triggers/actions and a white-label website builder, reducing tenant onboarding time by 70%. Developed an omnichannel communications hub integrating Twilio (voice, SMS, WhatsApp), Gmail, and Outlook with bidirectional calendar sync, processing 5K+ messages per week across tenants. Engineered AI-powered services including candidate-role matching, call/meeting transcription and analysis, CV parsing, and automated assessments, reducing recruiter screening time by 60%. Built a memory and matching service using Cohere embeddings and Turbopuffer vector DB to track user interactions and build intelligent candidate/client profiles with 85%+ match accuracy.
Led development of AI-powered enterprise content studio serving 65K+ MAU, architecting full-stack solution with Next.js, TypeScript, Python FastAPI, and multi-LLM orchestration. Engineered responsive React frontends, built scalable microservices platform, and implemented various CI/CD and monitoring tools.
Education
Certifications and awards· 10
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