Headline

AI & Data Engineer | SAS Programming, SQL, Python | Optimizing Compliance & Intelligent Automation

About

I am an AI Engineer specializing in Computer Vision and Deep Learning, with a track record of deploying intelligent real-time monitoring systems and complex data workflows. At Federal Bank, I develop robust SAS programs to optimize compliance scenarios. Previously, I engineered real-time Computer Vision solutions for Intelligent Traffic Management Systems (ITMS) using Deep Neural Networks. AI / Computer Vision: Deep Neural Networks (DNN), PyTorch, OpenCV, Image Processing ​Data & Programming: Python, SAS, SQL, Pandas hari.prof44@gmail.com for collaborations.

Location

Bengaluru

AI stack

claude

deepseek

gemini

openai

Work experience

Information Technology Support Officer at Federal Bank, Jul 2025 - Present · 1 yr 4 mos, • Developed SAS programs for compliance scenario development. • Wrote SQL queries to extract data from the data warehouse. • Supported ETL processes for data transformation and loading. • Used SAS Studio to develop and run SAS programs. • Designed and monitored ETL jobs using SAS Data Integration Studio.

Computer Vision Engineer at Okulr Techminds, Apr 2025 - Jul 2025 · 4 mos, Contributed to the development and state-level deployment of the Smart Autonomous Traffic Enforcement System (SATES), an AI-powered Smart Enforcement Command Center designed to enhance road safety across Karnataka-Built and optimized real-time Intelligent Traffic Management System (ITMS) computer vision pipelines using object detection, classification, and OpenCV for complex Indian traffic scenarios. Deployed and optimized AI models on edge devices including NVIDIA Jetson Nano and Raspberry Pi, enabling low-latency, localized traffic enforcement. Improved vehicle identification accuracy by developing and fine-tuning OCR pipelines using Tesseract OCR and PaddleOCR. Collaborated on a multimodal AI pipeline integrating object detection, OCR, and text-to-speech (TTS) for automated traffic violation detection and reporting. Participated in the end-to-end design, testing, debugging, and performance optimization of AI modules to ensure reliable real-time processing and seamless command center integration. Optimized inference performance and throughput for production-ready deployment under resource-constrained edge computing environments. Contributed to a solution that was officially reviewed and supported by the Hon'ble Transport Minister of Karnataka and senior transport department officials as part of its state-level deployment initiative.

Education

Master's degree, Artificial Intelligence, APJ Abdul Kalam Technological University

Bachelor's degree, Mechanical Engineering, Government College Of Engineering Kannur