Dewansh Shekhar Singh

AI Systems Engineer | Automation Architect | Scalable Backend Specialist

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🚀 About Me

I build intelligent, production-grade systems that automate workflows, scale reliably, and stay debuggable over time. My work sits at the intersection of AI agents, backend architecture, full-stack engineering, and applied machine learning. I focus on real-world impact, not just demos.

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🛠️ Core Skills

Programming & Engineering

AI & Machine Learning

Agent & LLM Tooling
LangGraph, LangChain, tool-calling agents, memory & planning loops

Retrieval & Search
FAISS-style vector search, embedding pipelines, RAG / CAG / KAG

LLM Ops
Prompt versioning, evaluation, cost & latency tracking

• Frameworks: scikit-learn, TensorFlow, PyTorch
• Models: NLP, CV, tabular, transformers (GPT, BERT)
• Techniques: Fine-tuning, prompt engineering, RAG/CAG/KAG
• Vector Pipelines: FAISS-style embedding search

AI Agents & Automation

• Multi-agent architectures
• Tool-calling agents & workflow orchestration
• Autonomous loops (memory, planning, retrieval)
• Reliability-first design (timeouts, retries, fallbacks)

System Design & Backend

• Stateless/stateful services
• Caching (Redis), async processing, queues
• API design, sharding, infra-aware backends

Frontend & Cloud

Auth: JWT, OAuth CI/CD: Git-based pipelines Focus: Secure backend design and infra-aware systems

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🔍 Current Focus

• Production-grade AI agents
• AI infrastructure and evaluation pipelines
• Automation for real business workflows
• Backend systems that scale without becoming fragile

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🤝 Open To

• Freelance/Contract: AI systems, automation pipelines, backend architecture
• Advisory: Scaling AI-first products
• Open-Source: Agents, RAG tooling, AI infrastructure