Amimul Ahsan
I’m Amimul Ahsan, an AI Engineer and Full-Stack Developer who enjoys building reliable, production-grade systems that combine strong machine learning with clean product engineering.
About
I’m Amimul Ahsan, an AI Engineer and Full-Stack Developer who enjoys building reliable, production-grade systems that combine strong machine learning with clean product engineering. I’ve independently architected and shipped multiple end-to-end applications, including fast RAG pipelines with citation tracking, autonomous ReAct-style agent workflows, and medical image classification models optimized for real-world inference performance.
Alongside my AI work, I build the full stack—designing REST APIs, auth and RBAC, database-backed services, and responsive frontends. I love turning complex ideas into usable products, and I’m currently a BS Computer Science student (GPA 3.84) targeting roles where I can keep delivering impactful AI systems, collaborate with engineers, and grow as an LLM/AI specialist.
- 2 years' experience
- Joined September 2026
Industry experience
- Healthcare
- Software & Internet
- Education
- Professional Services
- Computers & Electronics
Work experience
Architected and shipped six production-grade applications end-to-end, owning architecture, development, testing, and deployment. Built a production RAG pipeline (LangChain + FAISS) with multi-format ingestion (10K+ chunks), citation tracking, and confidence scoring, achieving ~23 ms average query latency. Engineered a LangGraph ReAct autonomous agent using Groq LPU with ~200 ms per reasoning step over 4–5 step chains. Fine-tuned ResNet-50 for medical image classification reaching ~94% accuracy, then applied ONNX INT8 quantization to improve speed (~60% faster) and reduce size (~75%) with only ~1.2% accuracy cost; added Grad-CAM for explainability. Developed REST APIs using PostgreSQL, Redis caching, JWT auth, RBAC, and Stripe payments; delivered 25+ Swagger-documented endpoints with 80%+ test coverage.
Education· 12
Certifications and awards· 14
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