Basanta Nayak
@basantanayak
Senior Data Scientist specializing in GenAI, Agentic AI, and spatial computer vision.
What I'm looking for
I’m a Senior Data Scientist and Gen-AI & Agentic AI specialist with 10+ years of enterprise experience across Generative AI & Agentic AI, Geospatial AI & LiDAR, and Computer Vision & Autonomous Perception. I focus on turning frontier models into reliable, production-grade systems that teams can deploy and iterate on.
In Generative & Agentic AI, I built production RAG pipelines using Llama (Llama 3.1) and LangGraph-based multi-agent orchestration, along with LLM-powered KPI automation and agentic workflows deployed at enterprise scale. I’ve also implemented LLM/RAG question-answering over business documents and generated explainable recommendations with auditability in mind.
In Geospatial AI & LiDAR, I engineered end-to-end aerial LiDAR point-cloud pipelines (.LAS/.LAZ) integrating SAM3 with SamGeo for zero-shot oil-field asset mapping. I delivered automated 3D terrain and infrastructure mapping (DSM/3D), exporting production-ready GIS layers (GeoPackage, Shapefile, GeoTIFF) directly consumable by field operations, while reducing manual GIS surveying time by ~80%.
In Computer Vision, I delivered real-time object detection and multi-object tracking systems using YOLOv5, SAM2/SAM3, Florence2, and ByteTracker. I’m especially motivated by solutions at the intersection of spatial intelligence, autonomous perception, and frontier LLM capability for smart-city, digital-transformation, and autonomous-mobility initiatives.
Experience
Work history, roles, and key accomplishments
Developed an AI video annotation tool using prompt-based semantic segmentation and object detection pipelines with support for 2D camera imagery and 3D LiDAR point-cloud data. Implemented multi-stage text-prompted inference with synonym augmentation and tracking across video frames, with evaluation using pixel-level metrics.
Built AI/ML video intelligence and agentic AI solutions, including semantic segmentation, object detection, and multi-object tracking workflows for 2D imagery and LiDAR data. Containerized and deployed inference pipelines to AWS using Docker, ECR, and SageMaker.
Designed and developed an agentic AI investment advisory platform orchestrating specialized agents for market intelligence, risk assessment, news/sentiment, compliance, and report generation. Implemented forecasting models and RAG over financial documents, and automated report generation via FastAPI services.
Senior AI/ML Engineer
Aramco-AI (TCS Saudi)
May 2023 - Jul 2025 (2 years 2 months)
Developed an end-to-end 3D terrain and infrastructure mapping pipeline using aerial LiDAR data and SAM3/SamGeo for zero-shot geospatial segmentation of oil-field assets. Produced GIS-ready layers and DSMs for integrity and slope-risk assessment, reducing manual GIS surveying effort substantially.
Built predictive models for demand forecasting and supply chain optimization and supported capacity planning using statistical forecasting. Applied modeling to improve planning outcomes for Danone.
Performed sensor data analytics using machine learning and deep learning techniques. Developed a GIS-based PM2.5 air pollution prediction system using geospatial modeling.
Delivered computer vision and deep learning solutions for crop disease detection and yield prediction. Built predictive analytics and NLP/ML services across areas including cloud migration, flight delays, predictive maintenance, and customer churn modeling.
Developed frontend and backend components in Java for enterprise portals, including T-Mobile Eshop Portal and Accenture enterprise platform projects. Contributed to enterprise portal development across APSP and healthcare benefits platforms.
Fraud Detection CortexAI
Built an end-to-end banking fraud detection pipeline using Snowflake as a data source and Snowflake Cortex AI for predictions and natural-language explanations. Trained a Random Forest model via Dataiku AutoML and automated daily monitoring with scenario runs and dashboards.
Education
Degrees, certifications, and relevant coursework
BPUT University
Master of Computer Applications, Computer Application
Master in Computer Application (MCA) from BPUT University in Bhubaneswar, India.
Utkal University
Bachelor of Science, Science
Bachelor of Science (BSc.) from Utkal University in Odisha, India.
Availability
Location
Authorized to work in
Job categories
Skills
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