• Developed/Enhanced web scraper for ASD and pattern solutions to extract AWS services, enabling the creation of
guardrails to ensure compliance with approved AWS services and standardizing pattern import into the database.
• Leveraged OpenAI GPT-4o via AWS Bedrock to automate ASD document analysis, ensuring alignment with
guidelines and generating Infrastructure as Code (IaC) templates for Terraform, utilized React and Flask.
• Developed a Python-based containerized solution deployed on OpenShift to automate the detection of ingress
controller errors such as missing endpoints. Integrated ticketing and user notification, reducing manual effort.
• Skills used: Python, TypeScript, YAML, Ansible, Kubernetes, AWS Bedrock, AWS Services, HCL

• Designed and developed multiple custom applications using Power Apps to address specific business needs.
• Automated processes for implementations, system integration and data scraping leveraging Python and Power
Automate, resulting in 100% reduction for such manual workload for 40+ control center operators/lead.
• Developed a comprehensive Analytical App through Power BI for upper management, facilitating all ongoing gas
control management such as over pressure events, call analytics, bad actor alarms, training/compliance and etc.
• Design, build and maintain ETL pipelines to extract data from various sources to datasets over 3M+ alarms.
• Developed/Enhanced RPA Bots for procedural and call-out backup utilizing Power Automate, achieving 100%
resilience during power outages; identified and mitigated Cybersecurity threat, ensuing regulatory compliance.
• Cross functionality with multiple groups; SCADA, Operation Planning, DevOps/Data Support, Vendors and etc.
• Developed a full-stack application utilizing Angular and Django framework to streamline internal workflows
• Implemented data-driven solutions utilizing Python and SQL to reduce Synergi model simulation runtime by 80%.
• Skills used: Python, MySQL, TypeScript, VB.NET, Power Automate, Power BI, Power Query M, Power App, VBA

• Automated detection of animal track damage on crop fields, reducing manual work by 95% and saving $90 K/yr.
• Designed a custom CNN architecture based on U-Net for image segmentation using TensorFlow and Keras.
• Implemented Python scripts using ArcPy to automate shapefile data field formatting in ArcGIS Pro.
• Improved validation accuracy by 80% utilizing deep learning techniques and prevented model over-fitting.
• Leveraged Tensorboard to visualize evaluation metrics for hyper-parameter optimization and model fine-tuning.
• Revamped preprocessing pipeline through algorithmic resampling methods, enabling high resolution datasets.
• Skills used: Python, ML Algorithm, TensorFlow, Keras, CUDA, Google Colab, Jupyter Notebook, Deep Learning

• Implemented clever shopping algorithm proposed by professor into functioning program using Python and Cplex.
• Applied test driven approach to develop practical software solution through numerical experiments.
• Contributed in enhancing an existing parallel open shop algorithm by conducting tests with local wine store data.
• Improved generalization of previous program by 30% and optimized through Cplex linear optimization.
• Skills used: Cplex, Python, Algorithm, SQLite

• Developed C++ program in Linux environment integrating Hikrobot Camera with GPS for precise photo capture.
• Utilized Bash command and shell script for seamless communication and data synchronization between devices.
• Automated process by implementing movement calculations to trigger photo capture at predetermined intervals.
• Successfully tested the system achieving reliable and efficient automated photo capture; resulting in $1k cost saving.
• Skills used: C++, Bash commands, Shell scripts, Lunix System, Lucidchart