Avinash Od

AVINASH OD - ·-Mota Varachha, Surat, 394101 SENIOR SOFTWARE ENGINEER | FULL STACK PYTHON DEVELOPER Experienced Senior Software Engineer with 7+ years of expertise in developing web applications using Python and Django. Proven track record in leading projects, optimizing performance, and ensuring security. Passionate about innovation, computer vision, and continuous learning. TECHNICAL SKILLS Programming Languages: Python, JavaScript Web Frameworks & Libraries: Django, DRF, Flask, FastAPI, jQuery, React.js/Redux Database Management: MySQL, PostgreSQL, MongoDB, NoSQL (Redis) Cloud Platforms: AWS (S3, RDS, EC2), Heroku DevOps & Tools: Docker, Git (GitHub, Bitbucket), Jenkins Microservices & APIs: RESTful APIs, GraphQL, MQTT Data Storage & Analysis: Elasticsearch, Pandas, NumPy IoT Platforms: Thingsboard Computer Vision: OpenCV, YOLO, TensorFlow, PyTorch Testing & Automation: Selenium Project Management Tools: Trello, Jira Message Brokers: RabbitMQ Serverless Computing: AWS Lambda Data Visualization: D3.js Soft Skills: Teamwork, multitasking, attention to detail PROFESSIONAL EXPERIENCE CHOOCH AI Senior Software Engineer Oct 2022 - Present Led the development of AI-powered applications using Django, Celery, RabbitMQ, and Redis, enhancing performance with advanced caching and asynchronous task management. Integrated machine learning models through refined RESTful APIs, optimizing functionalities and streamlining data processing for improved quality in training. Strengthened system security with comprehensive client-side and server-side validations, while collaborating with teams to deploy scalable features and enhancements. Built and optimized computer vision pipelines for object detection and facial recognition, leveraging OpenCV and YOLO to enhance AI capabilities and accuracy. Bank of America Sr Analyst - Apps Prog Mar 2022 - Sep 2022 Developed the NBP automation platform, streamlining application and front-end processes to boost operational efficiency and reduce manual effort through automated data collection. Created real-time anomaly detection dashboards using Splunk and ELK, enabling proactive response to network issues, while driving innovation through automation and data-driven optimization. Integrated computer vision solutions for real-time data monitoring and quality assurance, enhancing operational efficiency and accuracy. CHOOCH AI Senior Software Engineer Apr 2019 - Mar 2022 Led the development of a scalable data annotation platform using Django, Celery, RabbitMQ, and Redis, improving annotation efficiency and accuracy. Designed RESTful APIs for seamless integration of machine learning models, automating data cleaning processes and enhancing AI application capabilities. Optimized system performance with caching strategies and asynchronous task execution, while ensuring data integrity through robust client-side and server-side validations. Lintel Technologies Pvt Ltd Nov 2016 - Mar 2019 Python / Django Developer Collaborated with internal teams to translate end-user feedback into actionable improvements, resolving project issues and ensuring timely delivery of milestones. Implemented real-time data integration by fetching Twitter feeds using the python-twitter library, and automated data extraction with Beautiful Soup for enhanced data acquisition. Developed an IVR application to provide interactive communication solutions, improving user experience and customer service capabilities. EDUCATION York St. John University, London, UK M Sc (Computer Science), 2024 Artificial Intelligence Concepts, Cloud Computing, User Centred Design, Agile Software Development, Big Data, Internet of Things, Cyber Security, Machine Learning, Dissertation: Gun Detection using Computer Vision VNSG University, Surat, INDIA M Sc (Information & Communication Technology), 2016 VNSG University, Surat, INDIA Bachelor of Computer Application, 2014 KEY PROJECTS Gun Detection in Surveillance Videos Using Deep Learning Master’s Dissertation – Sep 2024 Developed a real-time gun detection system using YOLOv8, achieving high accuracy and speed. Trained on a large dataset, optimizing detection in diverse conditions. Integrated with existing surveillance setups and explored ethical considerations. ACHIEVEMENTS Recognized for optimizing AI-based applications at CHOOCH AI, improving data processing times by 30%. Awarded “Best Innovator” for automation solutions at Bank of America.