About samuel
I'm a software engineer with 3 years of experience building full-stack applications on the MERN stack. Over the last year I shifted into AI Engineering building GenAI systems that are reliable, controllable, and actually hold up in production My current work centers on Retrieval-Augmented Generation and the unglamorous parts that make it work: * RAG pipelines — chunking, embedding, and retrieval that stay grounded instead of hallucinating * Vector search — FAISS / embedding stores, tuning recall vs. latency, keeping context relevant * LLM orchestration — prompt structure, routing between models, tool-calling, controllable outputs * AI system design under real constraints — latency budgets, accuracy floors, cost, and offline/edge limits * Evaluation — measuring whether the system behaves, not just whether it responds I care less about what a model can do in a one-shot demo and more about how it behaves under real usage messy inputs, scale, and edge cases. Currently building GenAI systems and sharing the engineering decisions in public the trade-offs, the dead ends, and what actually shipped.
Key Skills
Experience
Ai Full Stack Engineer
CurrentHs Global Ai
Designing and experimenting with GenAI systems including RAG pipelines, embeddings, and LLM-based services
Frontend Developer
Company
Education
Noble College
Bachelors
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Common Questions
What is samuel's expertise?
samuel specializes in RAG Engineer, with expertise in cascading style sheets, deterministic llm programming, embeddings, generative ai, large language models.
Where is samuel located?
samuel is based in hyderabad, telangana, india.
How much experience does samuel have?
samuel has 3+ years of professional experience.
How can I contact samuel?
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