Work

Experience

AI/ML Engineer with 1.5+ years of experience building production-grade Generative AI, agentic, and multimodal AI systems. Experienced in LangGraph, RAG, LLM fine-tuning, voice AI, and computer vision, with hands-on experience developing and deploying AI systems across agri-tech, med-tech, and industrial inspection domains.

  1. Nov 2025 — Present1 yr

    Associate AI/ML Engineer

    Revin Krishi Agri-techcurrent

    • Develops an AI-powered agronomy platform on LangGraph, with stateful agent workflows and multi-step tool calling over soil, weather, crop and field data.
    • Built a real-time multilingual voice AI system that combines STT, TTS and agentic workflows for regional languages.
    • Builds RAG pipelines end to end, plus evaluation, guardrails and Langfuse observability for production AI services.
    • LangGraph
    • RAG
    • Voice AI
    • Langfuse
  2. May 2025 — Nov 20256 mos

    Junior AI Engineer

    Ombrulla Industrial inspection

    • Built computer vision systems for automated visual inspection with YOLO, Mask R-CNN, Mask2Former and Grounding DINO, and improved inference efficiency by 30%.
    • Combined Grounding DINO, SAM and YOLO in multi-stage pipelines for open-world detection and segmentation.
    • Integrated VLMs for defect analysis and reporting, and built a RAG pipeline for technical documents.
    • Grounding DINO
    • SAM
    • YOLO
    • VLMs
  3. Feb 2024 — Jul 20245 mos

    Research Intern, Image & Vision Computing Lab

    Digital University Kerala Research

    • Few-shot road damage detection: added channel attention to Faster R-CNN’s RPN and fine-tuned on as few as 3–10 samples per rare class.
    • Two-stage fine-tuning (TFA) with Detectron2 and a ResNet-101 backbone; evaluated with mAP@50 across 3-, 5- and 10-shot settings.
    • Detectron2
    • Faster R-CNN
    • W&B

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