A deepfake attack happens every 5 minutes+62% of organisations were hit by deepfakes last year+Security for AI: detection in under a second+Cloud waste hit 29% in 2026, driven by AI workloads+Cost Optimisation for AI: cut 30-40% of spend+Essential Eight, SOCI & CPS 234: audit-ready in weeks+Book a discovery call, get a free POC+A deepfake attack happens every 5 minutes+62% of organisations were hit by deepfakes last year+Security for AI: detection in under a second+Cloud waste hit 29% in 2026, driven by AI workloads+Cost Optimisation for AI: cut 30-40% of spend+Essential Eight, SOCI & CPS 234: audit-ready in weeks+Book a discovery call, get a free POC+
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Siddharth

Siddharth

Full-stack Python AI/NLP Engineer

6 yrs exp·Senior

Summary

6+ years of experience as a Python AI/ML Engineer with hands-on expertise in building Agentic AI systems, Generative AI solutions, and scalable backend applications. Strong experience in multi-agent pipelines using LangGraph, LangChain, and CrewAI with tool-based routing and automated workflow orchestration.

Skills

PythonAgentic AIGenerative AILangGraphLangChainCrewAIRAG PipelinesOpenAI GPTClaude (Anthropic)DeepSeekGeminiHugging Face TransformersNLPNERFastAPIDjangoAWSVector DatabasesPGvectorPineconeFAISSChromaDBMLOpsLLMOps

Experience Highlights

  • Designed and deployed multi-agent pipelines using LangGraph, LangChain, and CrewAI with tool-based routing
  • Built RAG pipelines and AI-powered chatbots using GPT, Claude, DeepSeek, Qwen, and Gemini
  • Implemented NLP capabilities including text classification, NER, intent detection, and semantic search
  • Deployed scalable REST APIs via FastAPI and Django on AWS Lambda, API Gateway, and ECS
  • Hands-on with vector databases (PGvector, Pinecone, FAISS, ChromaDB) for semantic search and RAG pipelines

Education

Full-stack Python AI/NLP Engineer with 6+ years of experience in Gen AI & Agentic AI.
Ready to start immediately

Availability

Engagementfull-time
Work moderemote