● Leading the team of AI/ML/Python developers ● Develop front-end and back-end website applications and design, implement, and test software and machine learning algorithms.● Created serverless and microservices architectures using AWS Lambda and API Gateway.● In depth knowledge of Agile software development life cycle.● Proficient in computer vision and deep learning.● Work on distributed programming, operating systems, computer networks, and database systems.

● Developed modules for KYC and AML systems, leveraging technologies like ReactJS, NextJS, VueJS, NodeJS, and Flask for seamless integration.● Orchestrated AWS deployment of production software utilizing EC2, SQS, VPC, NAT Gateways, and Lambda for scalable and reliable infrastructure.● Spearheaded the development of a Real-Time Synchronization Ticketing System, employing technologies such as ReactJS, Redux, NodeJS, and MongoDB to handle big data efficiently.● Pioneered the creation of an AI-based Skin-Care Application, implementing machine learning algorithms with TensorFlow or PyTorch and integrating frontend with ReactJS or VueJS.● Engineered a Job Scraping Portal with Django Rest APIs, ensuring smooth data retrieval and processing.● Contributed to Small CSM development using FAST framework and Flask API for rapid prototyping and deployment.

Responsibilities:● Led Software Engineer Handling team of 3 mid-level software engineers● Developed modules of KYC, AML system.● AWS deployment of production software using EC2, SQS, VPC, NAT Gateways,Lambda.● Developed Real-Time Synchronization Ticketing System handling big-data.● Developed AI-based Skin-Care Application.● Developed Job Scraping Portal with Django Rest APIS.● Small CSM development in FAST and Flask API.● Worked in Agile development environments, participating in daily stand-ups, sprint planning, and retrospectives to ensure efficient project execution and delivery.● Kept up-to-date with emerging technologies and industry trends in Python, AI, and development, leveraging new tools and techniques to improve development processes and overall software quality.● Woked On Bash Scripts, Linux Machine

Responsibilities:● Spearheaded the development of the entire platform, collaborating closely with data researchers, machine learning engineers, and software development teams to create a comprehensive solution.● Creating the software architecture and managing microservices to ensure robust and scalable design.● Leading and mentoring a team of software engineers, providing technical guidance, and supporting them in overcoming challenges.● Conducting thorough code reviews on a daily basis to ensure code quality and adherence to best practices.● Applied advanced optimization techniques to significantly improve application performance, resulting in enhanced speed and scalability.● Developed efficient and optimized code to handle high-traffic and data-intensive applications, maintaining optimal user experience.● Led a dynamic team in the development of innovative web apps.● Took ownership of end-to-end full-stack development, contributing to frontend and backend components.● Leveraged AWS services to architect a scalable and reliable infrastructure.● Conducted thorough code reviews and provided constructive feedback to ensure code quality, adherence to coding standards, and optimal performance.

Experienced in Python and Django, with expertise in utilizing the Django REST Framework to develop resilient web applications.Proficient in React.js, Docker, web scripting, bot scripting, webhooks, machine/deep learning, Redis, and Celery.Skilled in leveraging AWS services such as AWS Cognito, AWS RDS, AWS S3, and AWS SQS to create secure, scalable, and dependable cloud-based solutions.Utilize Celery for asynchronous task processing and building distributed systems.

Gain practical experience by working on team projects involving well-known technology stacks like Python, Java, and JavaScript. As an intern, I collaborate with experienced professionals on real-world projects, contributing to the development of innovative software solutions.

Collaborate within a team on real-world projects to gain hands-on experience with prominent technology stacks like Python, Java, and JavaScript. As an intern, I engage with seasoned professionals to contribute to the development of cutting-edge software solutions.