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Building intelligent systems at the intersection of LLMs, multi-agent pipelines, and production AI — turning research into real-world impact.
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Who I am, what drives me, and the story behind my jump into AI engineering.
→4-month AI engineering internship at Mako IT Lab — LangGraph, Qdrant, production RAG.
→Six AI projects — from multi-agent sales intelligence to GAN-based image translation.
→Python, PyTorch, LangChain, Qdrant, HuggingFace, OpenTelemetry — and 40+ more.
→B.Tech CSE (AI & ML specialization) at SRM Institute · CGPA 8.44 · Graduating 2026.
→Open to full-time AI/ML roles. Let's build something impactful together.
→Featured Work
LangGraph pipeline with hybrid Qdrant retrieval, cross-encoder reranking, and full OpenTelemetry observability. Shipped at Mako IT Lab.
Fine-tuned LLaMA 3.2 3B to bridge natural language conversations with Stable Diffusion v2 image generation for the footwear industry.
5-stage pipeline: YOLOv8 → VLMs → MLP encoders → RGCN knowledge graph → Llama 3.1 conversational engine over WebSocket.
Built production AI pipelines using LangGraph, LangExtract, Firecrawl, BrightData and instrumented the full system with OpenTelemetry.