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╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚══════╝╚══════╝╚══════╝╚═╝ ╚═╝
Serial Founding Engineer. Built and worked at multiple fast paced startups.
I build products from scratch, full stack, AI-native, production-grade. I thrive in high pressure environments. Fast paced environments is where I work best in.
- Currently deep in agentic systems, MCP, and fine-tuning
- Building at the intersection of AI + real products
const arneesh = {
languages: ["TypeScript", "Python", "JavaScript", "Swift"],
fullStack: {
frontend: ["React", "Next.js", "Vue", "Tailwind", "SwiftUI"],
backend: ["Node.js", "Express", "FastAPI", "GraphQL", "Pydantic"],
},
aiAndLLMs: {
techniques: ["RAG", "LLM Fine-Tuning", "LoRA", "QLoRA", "PEFT",
"Prompt Engineering", "NER", "Semantic Search",
"Embeddings", "Multimodal AI", "Eval Pipelines"],
frameworks: ["LangChain", "LangGraph", "LlamaIndex", "LangSmith",
"Hugging Face", "Vertex AI", "Ollama", "vLLM"],
agents: ["OpenAI Agents", "CrewAI", "AutoGen", "MCP"],
models: ["GPT-4o", "Claude 3.5", "Llama 3", "Gemini", "Mistral"],
vectorDbs: ["ChromaDB", "Pinecone", "pgvector"],
},
infrastructure: {
cloud: ["GCP", "AWS"],
devops: ["Kubernetes", "Docker", "CI/CD", "Serverless", "Pub/Sub", "Kafka"],
databases: ["PostgreSQL", "BigQuery", "MongoDB", "Redis",
"Elasticsearch", "Firestore", "ChromaDB", "Pinecone"],
tooling: ["Cursor", "Claude Code", "Turborepo", "Monorepo"],
}
};|
🤖 AI Systems Production RAG pipelines, multi-agent orchestration, LLM fine-tuning with LoRA / QLoRA / PEFT, conversational agents, semantic search, and eval frameworks. |
⚡ Full Stack Products End-to-end ownership from DB schema to deployed UI. React frontends, Node.js / Python backends, serverless infra, payments, webhooks, integrations. |
Platform & Infra Multi-tenant SaaS, Kubernetes clusters, distributed data pipelines, Elasticsearch at scale, real-time systems, billing engines built for enterprise SLAs. |
I write about AI engineering, system design, and building products on Medium. I also write technical blogs and content for companies.




