02  /  Experience

Work Experience

Real-world AI engineering — architecting pipelines that ship, scale, and deliver measurable impact.

Junior AI Engineer Intern

Mako IT Lab

Dec 2025 – Mar 2026 · 4 months
🤖 Dual-Agent System
🔍 Hybrid RAG Pipeline
📡 Full Observability
  • Architected a dual-agent Sales Intelligence system using LangGraph — a deterministic Sales Agent pipeline (document extraction → query generation → retrieval → pitch synthesis) paired with a context-aware RAG Chatbot with conversation-aware query rewriting.
  • Built a hybrid retrieval pipeline on Qdrant Cloud combining dense embeddings, sparse vectors, and a cross-encoder reranker with parent-child chunking to retrieve contextually relevant document sections at high precision.
  • Integrated LangExtract for schema-based structured extraction from unstructured company profiles; generated multi-angle business queries per prospect to maximize recall across industry and strategic dimensions.
  • Deployed a Streamlit frontend with real-time LLM token streaming, session persistence, and tool integrations including Firecrawl web scraper and BrightData Twitter scraper.
  • Instrumented the full pipeline with OpenTelemetry tracing and custom latency metrics, enabling end-to-end observability across retrieval, reranking, and generation stages.
LangGraphLangChainQdrant CloudDense + Sparse Retrieval Cross-encoder RerankingLangExtractStreamlit OpenTelemetryFirecrawlBrightDataPython
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Open to Full-Time AI/ML Roles

Graduating in 2026 and actively seeking opportunities in LLM engineering, AI systems, and production ML roles. Let's talk →