Professional experience

1. Machine Learning Research Engineer · JSquared Technologies

   May 2024 – Present

   Production AI systems for safety-critical mining and operational workflows

   • Led client-facing AI delivery across product, operations, engineering, and client stakeholders, translating business needs into deployed systems that reduced manual monitoring by 45%.
   • Designed on-device multimodal AI systems on NVIDIA Jetson AGX with autonomous perception–decision–action loops running at 30 FPS under strict compute, latency, power, and reliability constraints.
   • Architected Video-RAG pipelines using spatio-temporal embeddings, multimodal indexing, and LLM reasoning for contextual search and decision support over live video streams.
   • Built real-time and batch inference pipelines using ONNX, TensorRT, CUDA, GStreamer, and NVIDIA Jetson, achieving 2x throughput and 60% latency reduction.
   • Automated MLOps workflows with MLflow, AWS EC2, Docker, Git, Jenkins/CI-CD, deployment validation, monitoring, and edge-device runners.
   • Developed synthetic data pipelines for rare-event scenarios, reducing data acquisition costs by 50% and accelerating deployment timelines by 25%.
   Agentic AIVideo-RAGEdge AIComputer VisionTensorRTCUDAGStreamerMLflowAWSDockerMLOps

2. Machine Learning Engineer · Sapiient Advanced Technologies

   Aug 2022 – Feb 2023

   Real-time ML and anomaly detection for infrastructure inspection

   • Designed ensemble ML models for real-time classification of structural defects in underwater infrastructure, achieving 90% accuracy and 4x faster processing.
   • Built a real-time infrastructure inspection platform integrating live drone feeds, ML predictions, and analytics dashboards, reducing inspection costs by 30%.
   • Automated statistical reporting workflows and translated model outputs into stakeholder-facing business insights.
   Anomaly DetectionComputer VisionReal-Time MLDashboardsXGBoostLightGBM

3. Software Development Engineer · TechNomads

   Jan 2022 – Jul 2022

   Backend, cloud, and API engineering

   • Built scalable REST APIs for multi-source data integration and real-time analytics workflows, improving throughput by 30%.
   • Developed and deployed AWS-based platform features focused on backend reliability, performance, and user engagement.
   • Worked cross-functionally with product and engineering teams to ship customer-facing improvements.
   BackendREST APIsAWSCloudProduct Engineering

Education