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8+ years in backend development specializing in scalable system design, API architecture (DDD), and microservices (gRPC, REST), with expertise in databases (Postgres, MongoDB, Redis, Clickhouse) and cloud infrastructure (AWS).
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Proficient in TypeScript and Golang, with extensive testing experience (unit, end-to-end, and load testing using Cypress, Playwright, k6).
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Skilled in containerization (Docker, Kubernetes) and DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and system monitoring (Datadog, Grafana).
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Experienced in developing and optimizing LLM applications, including Retrieval-Augmented Generation (RAG) and GPT-based solutions, with strong knowledge of deployment patterns, prompt engineering, and API integration (OpenAI, Anthropic, Gemini).
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Proficient in ML frameworks (PyTorch), optimization techniques (quantization, model distillation), and vector databases (pgvector, Weaviate, Pinecone).
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Experienced with LLM inference stacks (TensorRT-LLM, VLLM, llama.cpp) and developing RAG systems.
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Proven ability to hire, mentor, and lead high-performing technical teams while setting technical direction and delivering impactful backend projects.
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Strong track record of leading full development lifecycles, managing issue tracking (Linear), and delivering complex backend systems on time.
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Strong problem-solving and analytical skills, with excellent communication to foster cross-functional collaboration and stakeholder alignment.
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Experience in startups or high-growth environments, with deep expertise in system optimization tools and processes.
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Bachelor's degree in Computer Science or Engineering.