Ramkrishnaji
ML Engineer with hands-on experience building RAG-based AI systems, real-time NLP pipelines, and production-ready ML backends using Python, FastAPI, and Docker
Talent
MumbaiMember since May 22, 2026
PythonMLPyTorchScikit-learnNLPLLMsRAGLlama 3.1FastAPIDockerGitHub ActionsKafkaSparkRedisMongoDBUpstash VectorAWSGit
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PythonMLPyTorchScikit-learnNLP
About
Built and deployed end-to-end AI systems involving LLMs, vector search, stream processing, and model serving, with projects focused on low-latency inference, scalable deployment, and intelligent automation.
Experience
MERN Stack Intern at Ethnus (2023-11 – 2024-01)
- Designed and shipped RESTful APIs and full-stack features using MongoDB, Express.js, React.js, and Node.js within Agile sprint cycles, gaining end-to-end SaaS delivery experience.
Education
M.Tech in Artificial Intelligence and Data Science – KJSCE Vidyavihar (2025 – 2027)
B.Tech in Computer Science and Engineering – Vellore Institute of Technology (2021 – 2025)
Skills
real-time NLP pipelinesand production-ready ML backends using PythonFastAPIand Docker
