- Led backend and AI development teams, managing projects that integrated AI technologies such as OpenAI and Langchain to deliver innovative solutions for clients.- Architected scalable AWS solutions for SaaS applications, focusing on integrating Large Language Models (LLMs) and OpenAI for advanced conversational AI, content generation, and automation use cases.- Implemented data engineering strategies that leveraged AI models to enhance marketing automation and user segmentation, boosting targeted marketing effectiveness by 30%.- Developed AI-driven applications using Langchain, integrating LLMs into existing infrastructure to automate workflows, improve customer support systems, and provide AI-powered insights. These solutions reduced operational costs by automating manual processes and improved customer engagement metrics by 25%.- Spearheaded AI and machine learning initiatives, focusing on natural language processing (NLP) solutions that transformed how clients approached content creation, customer service, and data analysis.- Managed and scaled AI-based data strategies that optimized performance for high-traffic AI applications, ensuring they could handle large-scale requests and data processing with minimal latency.

- Identified high-potential startups and onboarded them to the AWS ecosystem.- Advised startups on AWS architecture and helped them design scalable, reliable cloud solutions tailored to their needs.- Granted $5,000 in AWS credits to selected startups, supporting their initial cloud infrastructure setup.Provided technical guidance on AWS services like EC2, Lambda, S3, and RDS to help startups optimize performance and cost.- Supported the scaling of startups by recommending best practices in cloud architecture, security, and cost management.- Collaborated with AWS teams to align resources and ensure startups leveraged the full potential of AWS solutions.

- Organized and hosted regular AWS meetups, bringing together local developers, engineers, and cloud professionals to share knowledge and experiences.- Engaged with industry experts to facilitate discussions and deliver talks on the latest AWS technologies and best practices.- Coordinated talks and workshops on various AWS services, helping the community stay up-to-date with new cloud solutions and innovations.- Fostered a vibrant AWS community, encouraging collaboration and networking among members to promote shared learning and career growth.- Participated in global AWS community events, representing the local community and staying connected with broader industry trends and updates.- Provided mentorship and support to individuals in the AWS community, guiding them on their journey to mastering AWS technologies.

- AWS Glue, Athena, and S3 for Prompt Caching: Strategized and implemented AWS Glue, Athena, and S3 forefficient prompt caching, improving data discoverability and management efficiency by 40%.- LLM-Based API Development: Developed LLM-based APIs using a multi-model approach to achieve optimalperformance and speed, resulting in a 35% improvement in AI-driven analytics efficiency.- ETL Process Deployment: Deployed large-scale ETL processes for data warehousing, enhancing data processingefficiency by 30%.- Data Transformation in AWS: Utilized SQL and Python for data transformation within the AWS environment,increasing data accuracy and processing speed by 25%.-AI-Driven Data Insights with SageMaker: implemented machine learning models using AWS SageMaker to automate predictive analytics, enhancing the ability to derive actionable insights from vast datasets. This improved decision-making efficiency by 30%, enabling clients to proactively respond to business trends and customer needs.

- Stripe Integration: Integrated Stripe for seamless payment processing, improving transaction efficiency by 25% and enhancing the overall user experience.- Next.js + Nest.js App Deployment with CloudFront Caching: Deployed a Next.js and Nest.js application with CloudFront caching and regional content distribution, optimizing performance and reducing load times by 30%.- Scaling Marketing Analytics: Scaled the marketing team’s analytics capabilities by leveraging AWS Glue, Kinesis, and the Data Lake infrastructure, increasing data processing efficiency by 40% and providing deeper insights.- LLM Security Guidelines: Applied security best practices and guidelines to ensure the protection and integrity of Large Language Models (LLMs).

- Collaborated with Sales Teams: Worked closely with sales teams to understand and identify client requirements for AI/ML security solutions.- Serverless Modular Development: Developed the Serverless Modular plugin to bypass the CloudFormation 200-resource limit by splitting Lambda into multiple YAML files, optimizing deployment for large-scale serverless applications.- Custom User Tracking System: Developed a tailored user tracking system, enabling more precise data collection and improving user behavior insights by 35%.- AI/ML Security Strategies: Developed and implemented comprehensive security strategies to safeguard AI/ML systems from potential threats.

- AWS Lambda for Data Processing: Developed AWS Lambda functions to automate and streamline dataprocessing, enhancing scalability and boosting operational efficiency by 35%.- User Authentication with AWS Cognito: Integrated AWS Cognito for secure, scalable user authentication, improving access control efficiency by 30% and enhancing user management capabilities.- AWS S3 Storage Optimization: Optimized AWS S3 storage for efficient data management, reducing storage costs by 30% and improving data retrieval speed by 25%.- Optimized Content Delivery with Lambda@Edge: Implemented Lambda@Edge to run serverless functions at CloudFront edge locations, reducing latency by 40% and enhancing region-specific content delivery performance by 35%.