Rajan Paneru
Lead AI ML Engineer at RANE
Adelaide, South Australia
Summary
🤩
Rockstar🎓
Top SchoolRajan Paneru is a Lead AI/ML Engineer with eight years of engineering experience, specialising in building production-grade AI systems that process real data daily rather than prototypes. At RANE Network he designed a centralised AI API, multi-agent LLM pipelines with automated quality gates, and a production semantic search powering analysts’ workflows, handling ~300 articles/day. His Master’s research and practical work emphasise cost- and latency-constrained solutions — he fine-tuned a BERT model that reduced tagging costs from $688/day to $0.01/day while achieving 160.8 articles/sec on a laptop GPU, now published on Hugging Face. Rajan combines a decade of Python backend expertise with modern ML stacks (PyTorch, Milvus, LangGraph, Hugging Face, Mistral/Claude/OpenAI) and a track record of shipping end-to-end features from crawler to UI. He’s equally comfortable running self-hosted experimentation infrastructure and leading cross-functional teams to production.
8 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of AdelaideBachelor's Degree, Information Technology, Bachelor's Degree, Information Technology at Patan Multiple Campus, Lalitpur Nepal
English
Stackoverflow
1,491reputation
49kreached
69answers
4questions
Github Skills (33)
langchain10
llm10
openai10
gateway10
llmops10
azure-openai10
vertex-ai10
anthropic10
rest9
api9
python8
correctness8
wsgi8
api-rest8
plane7
Programming languages (4)
Github contributions (5)
paneru-rajan/paneru-rajan.github.io
Sep 2018 - Feb 2025
Rajan Paneru | Programmer | Python | JavaScript
Contributions:2 PRs, 15 pushes, 4 branches in 6 years 5 months
javascriptpython
paneru-rajan/litellm
Apr 2024 - Mar 2025
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
Contributions:13 PRs, 59 pushes, 11 branches in 11 months
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